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BIO 2018! June 4-7, 2018 at Boston Convention & Exhibition Center

Posted in BioTechnology - Venture Creation, BioTechnology - Venture Creation, Venture Capital, Conference Coverage with Social Media on May 26, 2018| Leave a Comment »

BIO 2018! June 4-7, 2018 at Boston Convention & Exhibition Center

Announcement

Aviva Lev-Ari, PhD, RN,

https://mybio.org/

https://mybio.org/profile/member/2029564?profile_tabs=profile

Founder and Director of LPBI Group will be in attendance covering the event in REAL TIME

@pharma_BI

@AVIVA1950

 

All TWEETS from LPBI’s Twitter.com handles at

@pharma_BI

@AVIVA1950

for

#BIO2018

@BIOConvention

 

Program Overview

#BIO2018

@BIOConvention

@pharma_BI

@AVIVA1950

  • FIRE CHATS

 

BIO’s top-notch education program covers the biotechnology and pharma industry’s most relevant and timely topics – providing the know-how you need to advance your business. In each session, top thought leaders offer insights on issues essential to the industry and provide a wealth of information of strategic relevance to your business. We have hundreds of sessions to choose from!

On Tuesday June 5, U.S. Health and Human Services Assistant Secretary for Preparedness and Response, Dr. Robert Kadlec, and Deputy Assistant Secretary, Dr. Rick Bright, will announce a new initiative authorized by the 21st Century Cures Act, passed in December 2016.

The new initiative will accelerate cutting-edge health technology aimed at health security challenges like early detection of illness and sepsis. With the potential to affect major healthcare markets, the new program will bring together innovative ideas from across the country, the proven track record of BARDA, and best practices from DARPA and venture capital, to shape the next generation of lifesaving technology. 

 

Who:                                        Robert Kadlec, M.D., HHS Assistant Secretary for Preparedness and Response

Rick Bright, Ph.D., Director, Biomedical Advanced Research and Development Authority (BARDA) and Deputy Assistant Secretary for Preparedness and Response

When:                                      12:30 p.m. EDT, Tuesday, June 5, 2018

How:                                         BIO 2018 International Convention

                                                    415 Summer St, Boston, Room 153B (level 1, north lobby)

                                                    OR call 888-769-8792, passcode 5693715

Additional information:     Contact ASPRComms@hhs.gov to confirm participation during the BIO International Convention in Boston.

Personalized Medicine Session

JUNE 5, 2018

11:00 a.m. — Precision Medicine: Coming of Age

Room | 259B, Level 2

  • Introduction | Edward Abrahams, Ph.D., President, Personalized Medicine Coalition
  • Keynote Speaker | Raju Kucherlapati, Ph.D., Paul C. Cabot Professor of Genetics, Harvard Medical School; Scientific Director, Harvard-Partners Center for Genetics and Genomics; Scientific Director, Brigham and Women’s Hospital

1:45 p.m. — Partnerships Power Precision Health: Collaborative Models for Advancing Personalized Medicine

Room | 259B, Level 2

This session will offer different views on the opportunities and challenges involved in collaborative efforts to deliver on the promise of personalized medicine. Panelists will offer examples and ideas for multidisciplinary collaboration.

  • Moderator | Terry Magnuson, Ph.D., Professor of Genetics, Vice Chancellor for Research, University of North Carolina School of Medicine
    • Suzanne Belinson, Ph.D., Executive Director, Center for Clinical Effectiveness, Blue Cross Blue Shield Association
    • Stephanie Devaney, Ph.D., Deputy Director, All of Us Research Program, U.S. National Institutes of Health
    • Jill Hagenkord, M.D., F.C.A.P., Chief Medical Officer, Color Genomics

3:00 p.m. — Improving Health Through Focused Screening of Populations

Room | 259B, Level 2

The potential for better outcomes, decreased costs, and insights coming from basic and translational research are driving health systems toward precision medicine. Multi-omic technologies are accelerating the path to discovery, diagnosis and treatment, and are being deployed with large-scale clinical utility. In this session, panelists will present large-scale programs aimed at screening healthy populations for actionable genetic and biochemical risk factors.

  • Moderator | Alan Sachs, M.D., Ph.D., Chief Scientific Officer, Thermo Fisher Scientific
    • Shaun Lonergan, Vice President, Corporate Development, Metabolon
    • Brian Meyer, Ph.D., Chairman, Department of Genetics, Research Centre, King Faisal Specialist Hospital and Research Centre
    • Philip Empey, Pharm.D., Ph.D., Associate Director for Pharmacogenomics, Institute for Precision Medicine, University of Pittsburgh

6:00 p.m. — Annual PMC/Foley & Lardner Cocktail Reception

Location | Legal Crossing, 558 Washington Street, Boston, MA 02111

On the evening of June 5, 2018, PMC will again welcome many of personalized medicine’s most distinguished leaders at the Annual PMC/Foley & Lardner Cocktail Reception, which will take place at Legal Crossing. The reception will feature classic East Coast cuisine and contemporary cocktails that draw influence from the neighborhood’s colorful past.

NOTE: This reception is not a formal part of the BIO Convention program. Please RSVP using the link provided even if you are already registered for the BIO Convention.

Co-organized by

JUNE 6, 2018

11:00 a.m. — The Next Generation of Personalized Medicine: A New Regulatory Paradigm for NGS Panels

Room | 259B, Level 2

The science driving personalized medicine continues to push innovation toward better patient care, but successful innovation requires technology development incentives and appropriate policies governing regulatory oversight of novel diagnostic tests and testing platforms. This panel will provide insight into the evolving status of regulatory oversight of various types of advanced diagnostics, discuss current and evolving policy at the U.S. Food and Drug Administration (FDA) and the U.S. Centers for Medicare and Medicaid Services (CMS), and explore the potential impact that these developments will have on medical research, product development, and market access.

  • Moderator | Cynthia A. Bens, Senior Vice President, Public Policy, Personalized Medicine Coalition
    • Mark Fleury, Ph.D., Principal, Policy Development, Emerging Science, American Cancer Society Cancer Action Network
    • Laura Koontz, Ph.D., Personalized Medicine Staff, FDA
    • Tamara Syrek Jensen, J.D., Acting Director, Coverage and Analysis Group, CMS
    • Kelli Tanzella, Ph.D., Senior Director, Global Regulatory Affairs, Thermo Fisher Scientific

1:45 p.m. — Realizing the Potential of Clinical and Consumer Genomics

Room | 259B, Level 2

This session will feature a discussion about consumer access to inexpensive sequencing technologies from companies that claim to use genetic data for various health-related objectives, from personalized training programs to better understanding disease risk. Panelists will explore the available business models and how companies are handling issues around data management, data privacy and ownership.

  • Moderator | Vivek Mittal, Ph.D., Partner, Health Advances LLC
    • Akwasi Asabere, Ph.D., Head, Business Development and Partnerships, Helix
    • Elaine Cheung, Vice President, Business Development, MindStrong Health
    • Julie Papanek Grant, Partner, Canaan Partners

3:00 p.m. — Precision Diagnostics: Trends in Evidence Development for Medicare and Commercial Payers

Room | 259B, Level 2

This session will offer an exploration of trends in how payers evaluate evidence to support coverage for precision diagnostics, highlighting the growth of the coverage with evidence development (CED) model, in which tests are covered while additional clinical utility data are collected. The discussion will focus on Medicare’s CED policy and Palmetto’s MolDx program.

  • Moderator | Brian P. Carey, J.D., Partner, Foley Hoag LLP
    • James Almas, M.D., Medical Director, MolDx Program, Palmetto GBA
    • Tom McLain, Chief Operating Officer, Exosome Diagnostics
    • Sean Tunis, M.D., Founder, CEO, Center for Medical Technology Policy

4:15 p.m. — Personalized Medicine in Action: Examples of Clinical Implementation

Room | 259B, Level 2

This session will examine two pioneer personalized medicine programs — their strategies, experiences, and successes in achieving and demonstrating value — as examples of the clinical implementation of personalized medicine and the associated health care delivery benefits.

  • Moderator | Daryl Pritchard, Ph.D., Senior Vice President, Science Policy, Personalized Medicine Coalition
    • William Audeh, M.D., M.S., Chief Medical Officer, Agendia
    • Thomas D. Brown, M.D., Executive Director, Swedish Cancer Institute; co-Chairman, Providence Health & Services Personalized Medicine Program
    • James Ford, M.D., Director, Clinical Cancer Genetics Program, Stanford Health Care

JUNE 7, 2018

9:00 a.m. — Is Biotechnology Drowning in Health-Related Data?

Room | 259B, Level 2

This session will feature a discussion about the potential of big data initiatives in health care. Has the value of big data been over-promised? How do we separate hype from reality? What can and is being done, and what is simply big data hubris? It seems biotechnology is drowning in its own data — how will it swim?

  • Moderator | Damian Garde, National Biotech Reporter, STAT News
    • James Bradner, M.D., President, Novartis Institutes for Biomedical Research
    • Iya Khalil, Ph.D., Chief Commercial Officer, co-Founder, GNS Healthcare
    • Eric Schadt, Ph.D., CEO, Sema4

10:30 a.m. — Bridging the Gap: Adding Dynamics to the Diagnostic/Therapeutic Interface

Room | 259B, Level 2

This session will profile the newest technologies in personalized medicine and how they will fit into future health care models. Can new technologies utilizing dynamic biomarkers, wearables, bioinformatics and multi-omics help justify the case for new therapeutic strategies or ease the regulatory and reimbursement pathway?

  • Moderator | Alice Jacobs, M.D., Advisor, Third Rock Ventures; Entrepreneur-in-Residence, Caltech
    • Robbie Barbero, Ph.D., Chief Business Officer, Ceres Nanosciences
    • Adam Marsh, Ph.D., Chief Scientific Officer, Genome Profiling LLC
    • Jennifer Van Eyk, Ph.D., Director, Advanced Clinical Biosystems Research Institute, co-Director, Precision Health, Cedars Sinai Medical Center

Alxerion Biotech Corporation’s Press Conference

Bio International Convention

Tuesday, June 5 at 9:30 AM in Room 153B

http://Alxerion.com

“Alxerion is the Leader in Exosome Drug Delivery Systems and New Drug Development”

Dr. Elazer Edelman, M.D., Ph.D., F.A.C.C. 

Director MIT IMES and the Harvard-MIT Biomedical Engineering Center

• Announcement of a new breakthrough program for Rare Pediatric Brain Cancers now under development at MIT.

• New concrete results in our Lung Cancer and Solid Sarcoma Cancer drug development programs.

• Video:  Project Darwin-Larmark Argentina expeditions, which to date have discovered over 350,000 exosomes and small RNA and small DNA sequences and enzymes from plants, fungi, algae, microorganisms and insects.

3 New Expeditions announced for: Tierra del Fuego Archipelago, Antartica, The Iberian Estuaries, and Misiones, Amazon Rainforest

• Alxerion’s Partnership with the Massachusetts Institute of Technology and our rapidly expanding pipeline.

Presentors:

• Dr. Elazer Edelman, M.D., Ph.D., F.A.C.C.
Newly appointed director of MIT IMES (Massachusetts Institute of Technology’s Institute for Medical Engineering and Science) and Director of the Harvard-MIT Biomedical Engineering Center (the Edelman Lab)

• Dr. Mercedes Balcells, Ph.D., Principal Research Scientist at MIT’s Instituted for Medical Engineering and Science.

• Dr. Javier Pedreño, M.D., Ph.D., Alxerion Biotech’s Founder and CEO and Scholar Professor at MIT

 I have attached the ALXERION’S EXOSOME BASED TECHNOLOGIES – non-confidential information document for your convenience

BioProcess Theater – Final Agenda (2018 BIO International Convention)

Brian C. sent you a message: “BioProcess Theater – Final Agenda“

 

Make room in your schedule to visit the BioProcess Theater, located at the heart of the BioProcess Zone (booth #375)

The BioProcess Theater is a complimentary, 3-day event delivering the latest science, technologies and trends impacting biopharmaceutical research, development and manufacturing.  Two main presentation tracks focus on emerging therapies and emerging technologies.

View the full BPI Theater agenda:

http://www.bioprocessintl.com/wp-content/uploads/2018/06/BPI-Theater-2018-print-2.pdf  

 

BIO 2018 Program Highlights

Find full information about sessions and speakers in myBIO.

Don’t miss these premier sessions featuring thought leaders and executives from top biotech and pharma companies, and influential keynote speakers.

Add these sessions to your personalized myBIO agenda!

 

BIO 2018 Session Tracks:

Biofuels icon Biofuels & Renewable Chemicals

BrainHealth Icon Brain Health – Sponsored by Sage Therapeutics

Business Development Icon Business Development & Finance – Sponsored by WilmerHale

Corporate best practices Corporate Best Practices & Leadership

DigitalHealth Icon Digital Health

EmergingOpp Icon Emerging Opportunities in Global Markets – Sponsored by Amgen

gene editing track Genome Editing

InfectiousDisease Icon Infectious Diseases & Vaccines – Sponsored by GlaxoSmithKline

IntellectualProperty Icon Intellectual Property – Sponsored by Biogen

Food&Ag Icon Modern Agriculture Innovation – Sponsored by BIO Food & Agriculture Section Governing Board

NextGeneration Icon Next Generation Biotherapeutics

Oncology Icon Oncology  – Sponsored by Bristol-Myers Squibb

one health icon One Health – Sponsored by BIO Food & Agriculture Section Governing Board

opiod track icon Opioids: Changing the Paradigm on Treating Pain and Addiction

Orphan Icon Orphan & Rare Diseases – Sponsored by CSL Behring & Retrophin

PersonalMed Icon Personalized Medicine & Diagnostics – Sponsored by Thermo Fisher Scientific

RegScience Icon Regulatory Innovation 

TranslationalResearch Icon Translational Research  – Sponsored by Clarivate Analytics

Value Icon Value, Patient Access, & Reimbursement – Sponsored by Amgen, Celgene, Syneos Health, and UCB

Interested in Sponsoring Thought Leadership? Contact us at exhibit@bio.org.

BIO Executive Training Programs

BIO’s Executive Training Courses and Entrepreneurship Bootcamp are designed to train and educate business development individuals who are making deals that drive the biotechnology industry. Courses are taught by experienced business development professionals from leading pharmaceutical and biotechnology firms, and experts in law and public relations.

Business Development Fundamentals

Advanced Business Development

Product & Company Valuation Course

Negotiations and Strategic Decision Making

Entrepreneurship Boot Camp

*Executive Training Programs require additional registration.

Other Education Opportunities:

 BioBriefing:Biotech for the Non-Scientist
BioBriefing is a one-day, fast-paced course focused on the science driving today’s hottest biopharma innovations. Engage more effectively with industry leaders at BIO2018 by learning how therapeutic antibodies, RNA therapies, gene therapies, and immunotherapies fight disease and save lives. Learn from an industry expert who knows the technology, products, and companies. Click here to view the agenda and register for BioBriefing. Separate pre-registration and payment are required for this BIO 2018 affiliate event.

Strategic Commercialization Within Biopharma
Strategic Commercialization Within Biopharma is an intensive course focused on the major strategic considerations and tactics integral to successful commercialization within biopharma. Discussion points focus on practical concepts, applications, and tools that help participants effectively build and implement plans and tactics to address the needs of multiple stakeholders in the creation of reimbursable innovation.Click here to view the agenda and register for Strategic Commercialization Within Biopharma. Separate pre-registration and payment are required for this BIO 2018 affiliate event.

Questions? Contact Sheila Wagner at 410.377.4429 or wagner@biotechprimer.com.

BIO 2018 Program Committee:

Thank you to the 2018 BIO International Convention Program Committee for their devoted efforts in creating a world-class education program. The Committee meets on a continuing basis to determine the most cutting edge topics and speakers, and is led by Program Chairs and supported by numerous individuals in all sectors of biotechnology.

For more insight into the educational planning process, check out this exclusive blog post written by former BIO Program Committee Co-Chair, Rob Wright, Chief Editor of Life Science Leader.

SOURCE

http://htl.li/zh7C30jL4kF

BIO 2018 Schedule

PRINT SCHEDULE

Arrive Sunday and Stay Until Friday!

Take full advantage of BIO 2018! Partnering and Education kick off on Monday, and the BIO Exhibition opens Tuesday morning following our first keynote. For more information about fun activities happening at the Boston Convention & Exhibition Center, checkout our Networkingpage!

*Schedule as of May 8, 2018 and subject to change.

 

REGISTER NOW

 

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Tweets Impression Analytics, Re-Tweets, Tweets and Likes by @AVIVA1950 and @pharma_BI for 2018 BioIT, Boston, 5/15 – 5/17, 2018

Posted in Conference Coverage with Social Media, LPBI Group, e-Scientific Media, DFP, R&D-M3DP, R&D-Drug Discovery, US Patents: SOPs and Team Management on May 21, 2018| Leave a Comment »

Tweets Impression Analytics, Re-Tweets, Tweets and Likes by @AVIVA1950 and @pharma_BI for 2018 BioIT, Boston, 5/15 – 5/17, 2018

Curator Aviva Lev-Ari, PhD, RN

 

This curation has four parts:

 

Part 1: Re-Tweets by @AVIVA1950 

Part 2: Tweets earned impressions over 5/15 – 5/17/2018 Period – 2018 BioIT, Boston

Part 3: Re-Tweets by @pharma_BI – see complete list on @pharma_BI Twitter.com page

Part 4: Original Tweets by @AVIVA1950 – Real Time Coverage of 2018 BioIT, Boston

 

 

Part 1: Re-Tweets by @AVIVA1950

  1.   Retweeted

     May 18

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    Aviva Lev-Ari Retweeted Stinus Lindgreen

    to advance and

    Aviva Lev-Ari added,

    Great point from John Reynders in the panel at – data science should help us decide the next relevant question to ask. True.
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    Discussing how to build a data science team: Many different skill sets needed. While IT support is required, the data science team is really all about the data

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    Des Higgins: code ClustalW frozen for more than 10 years, but still used… quality

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     May 15

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    Audience Q: When do you think the machines will be routinely making the DX? Boguski: Sooner than you think.

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     May 16

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    Towards Tailor-Made Drugs with AI-Driven Drug Design – Dr. van Daelen of is speaking at now in the amphitheater.

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     May 15

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    BridgeDb poster up at , no 30

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     May 17

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    RT finchtalk: keynote by carlzimmer on genes and heredity. Discusses subtle effects of HGMA2 – sadly no structure yet – on heigh…

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     May 15

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    waiting for you at ! come over to booth 646 to find out why has been nominated !

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     May 16

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    panel describing importance of , not just big data, whole work flow from data creation to insights & decisions

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    Job Board!!! Great new addition

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     May 16

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    we need tech for proteomics that is as good as the tech is for genomics — Lihua Yu

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     May 17

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    carlzimmer is concerned that as we have more access to our genes, we will fall back on old ideas of heredity to understand

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     May 15

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    Diagnostic testing is a key factor for modern-day advanced healthcare. The wall between diagnostic physicians and treating physicians is still a challenge. Dr. Boguski’s keynote

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     May 16

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    Tom Plasterer : offers a nice way to close the RDF open world assumption, which helps to identify if a dataset has achieved full discoverability by hitting a set of given metadata requirements

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     May 15

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    Live from Bio-IT World booth #227: we’re excited to announce that our featured partner this year is . Come chat with us about Vertically Integrated Precision Medicine!

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     May 17

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    L.Omberg of helps us understand how to develop digital biomarkers through crowd sourcing at

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     May 17

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    Great closing session led by our friends and a great panel that agreed that HI will save us all and is the clown car of our industry…

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     May 17

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    Heard at from : is “the clown car of our world these days. … It’s being driven by a bunch of grifters who want to profit off of their magical math tokens.”

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     May 15

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    Boguski: Gathering data frm 350K Thai employees+dependents (genome+microbiome), family & Med history; wearable health monitoring.

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     May 17

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    The Town Hall is coming up later today at . We had some great questions last year – here’s discussing how Scientists and IT both have a responsibility for cloud infrastructure.

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     May 17

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    Data is like art, if you don’t know the provenance the value significantly decreases

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     May 13

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    Screen data from different assay types for more accurate results. at Booth 340

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     May 17

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    Des Higgins , Benjamin Franklin winner celebrates . Integrating data remains our challenge

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  24.  May 18

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    Aviva Lev-Ari Retweeted Stinus Lindgreen

    Amazing insight by

    Aviva Lev-Ari added,

    Replying to @ppgardne
    Yeah, right?!? However, it looks like RNA is mainly just the “software” between the “harddrive” of DNA and “hardware” of proteins. Gotta love these novel…
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     May 17

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    Sitting in one of the last sessions at listening to a talk on RNA. I am being told that mRNAs do no just encode proteins – they form secondary structures. I am shocked. Shocked! Did you know this, ?

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     May 17

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    And that’s a wrap! Thank you for a great conference

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     May 16

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    Andras Volford, is speaking about Project Haystack: universal access to corporate research history

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     May 15

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    . poster up at , no 28

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     May 17

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    Higgins driving home the point that number of citations does not equate to importance. Sometimes inverse!

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     May 16

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    foster an innovative culture — Tanya Cashorali builds a sandbox and encourages data scientist to play

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     May 16

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    Grab your spot! Our last Spotlight presentation of the day will start in less than an hour: A Freeing Approach to Search and Analytics Leads to Faster Drug Discovery

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     May 16

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    Celebration at the booth for Best of Show Judges Award!

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     May 17

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    Getting sequences in 1984: write a letter to GenBank or EMBL and they’d mail you a book! HigginsDes

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     May 17

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    Wonderful historical perspective on open access and data sharing from the legendary Des Higgins, this year’s recipient of the Benjamin Franklin Award.

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     May 16

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    if we’re sharing data, we need to be responsible with how we use it — Jerald Schindler

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     May 17

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    Have I not been paying attention in past years, or is “data hub” a new buzzword at ? Are there others?

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     May 16

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    Next panel question – scientists often “protective” of their data. How to break data silos and encourage a data sharing culture?

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     May 17

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    Roman Affentranger defines “advanced analytics” as “anything goes … so long as it is more than traditional business intelligence”

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     May 17

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    An unwieldy system, and it wasn’t open access. In 1989 Patricia Kahn asked that journals require sequences to be shared pre-pub.

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  40.  May 18

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    Aviva Lev-Ari Retweeted Cambridge Innovation

    Very important to remind initial step in democratization of Data and milestone . See Open Access online Scientific Journal +5,300 scientific articles in BioMed, 16-Volume BioMed e-Series on Amazon.con

    Aviva Lev-Ari added,

    An unwieldy system, and it wasn’t open access. In 1989 Patricia Kahn asked that journals require sequences to be shared pre-pub.
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    Important point being raised by at : We have many patients who willingly and with consent provide us with valuable samples. They expect us to do something with them. We are ethically obliged to use them, not just store and destroy them after X years. Stop waste.

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     May 17

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    Jabe Wilson talks about work by on finding experimental mice housing conditions in the literature

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     May 17

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    I’m pretty sure that was the official name of this award, right ? !

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    it’s not the formula you use, but WHY you used it – Jerald Schindler

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    is concerned that as we have more access to our genes, we will fall back on old ideas of heredity to understand

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    Last keynote by at Fascinating walk through the infancy of genetics.

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    , – The purpose of visualization is insight not pictures.

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     May 17

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    Bryan Takasaki is up next discussing AstraZeneca’s R&D Data Hub — connecting data from multiple silos to enable analytics

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     May 17

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    Excited to announce that the winner of our complimentary whiteboard consulting engagement is Optum Genomics! Congratulations and we’ll be in touch with more information.

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     May 17

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    is coming to an end. The last speaker showed a great quote from |s Baldoni about the need for all of us to share data: There is so much data out there on failed experiments, on molecules, that we are obliged to share – avoid unnecessary trials and tests on patients.

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    Ending the day with a co-presentation by Krista McKee, and Raveen Sharma, on leveraging an R&D data hub platform for next generation of clinical data review

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     May 14

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    Attending ? Don’t miss the Plenary Panel on Wednesday 5/16. Alongside a great team of speakers, TCB’s will cover applications of data science, implementation best practices, and industry predictions.

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  53.  May 18

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    Aviva Lev-Ari Retweeted TCB Analytics

    Amazing event by was amazing two, 16 tracks, great talks, community

    Aviva Lev-Ari added,

    Attending ? Don’t miss the Plenary Panel on Wednesday 5/16. Alongside a great team of speakers, TCB’s will cover applications of data science, implementation best practices, and…
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    Best of show at ? member ! Congratulations!!

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    Well deserved! Desmond Higgins, father of CLUSTAL and T-COFFEE, receives the Benjamin Franklin Award at

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     May 17

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    Our Microglia and Neuron describing how to manage our lifestyle on molecular basis have just won the CHI Poster Competition at ! Thanks to all who voted! , your art is excellent.

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  57.  May 18

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    Aviva Lev-Ari Retweeted sci.AI

    BRAVO for

    Aviva Lev-Ari added,

    Our Microglia and Neuron describing how to manage our lifestyle on molecular basis have just won the CHI Poster Competition at ! Thanks to all who voted! , your art is excellent.
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     May 17

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    Congrats to Desmond Higgins for 2018 Franklin Award . Great talk on progress in

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  59.  May 18

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    Aviva Lev-Ari Retweeted Jane Reed

    The historical perspective provided most valuable for understanding in

    Aviva Lev-Ari added,

    Congrats to Desmond Higgins for 2018 Franklin Award . Great talk on progress in
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     May 17

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    Among Galton’s groundbreaking ideas: twin studies.

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     May 16

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    We won the for &

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     May 16

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    It appears this year’s buzz word Data Science has replaced Bioinformatics ….

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     May 17

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    Many Congratulations to the winner of Best of Show at from MediSapiens member !

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     May 16

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    Everybody should become a Data Scientist instead of being a friend of a Data Scientist

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     May 16

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    Dr. Stephen Kingsmore, CEO of , reacts to yesterday’s news about Edico Genome and shares his vision of rapid, scalable sequencing. For more information, please visit

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     May 17

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    Thanks for a grand time. I feel drained but so FAIR. Also found out I suck at both ping pong and cornhole so I acquired a higher level of self-knowledge.

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     May 17

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    Intel uses convents to accelerate copy number detection in GATK

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    Congratulations to & for winning a Best Practices award for a Patient-Centric Platform for Clinical Research:

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    . Height is a great example of how hard it is to get from knowing something is heritable to understanding how

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    Getting sequences in 1984: write a letter to GenBank or EMBL and they’d mail you a book!

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    Congratulations to & for taking home a Best Practices award for Project Platypus (details: )

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     May 16

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    Enoch Huang , Pfizer is sharing the things he didn’t know he needed to know before attempting to implement a cloud-based genomics data environment

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     May 17

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    . gives his first official lecture to promote his fabulous new book “She Has Her Mother’s Laugh” — great “get” by Expo!

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     May 16

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    What changed to make data science so core? Lihua Yu notes we now can create large high quality data sets and the needed infrastructure. She also noted will/should democratize data.

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  75.  May 18

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    Aviva Lev-Ari Retweeted Carmen Nitsche

    Many strides made already in large

    Aviva Lev-Ari added,

    What changed to make data science so core? Lihua Yu notes we now can create large high quality data sets and the needed infrastructure. She also noted will/should democratize data.
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     May 15

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    Boguski: “Precision medicine starts with precision diagnostics.” Good point!

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     May 16

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    Data should be Persionalized Actionable Collaborative and Explainable (PACE) –

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     May 16

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    create environments that motivate the team so that they do share data – John Reynders

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     May 16

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    At asks the question “how much data is there on something we haven’t tried yet?” talking about the combinatorics challenges of cancer treatment (track 16)

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    Aviva Lev-Ari Retweeted jahendler

    This is an area that will make the biggest contributions to serving

    Aviva Lev-Ari added,

    At asks the question “how much data is there on something we haven’t tried yet?” talking about the combinatorics challenges of cancer treatment (track 16)
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     May 16

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    : Everyone, either now or very soon in the future, is going to need to be hands on with their data.

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  82.   Retweeted

     May 15

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    We are still using the same tools/dyes we’ve been using to diagnose cancer since 19th century. It’s not even FDA-approved

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     May 16

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    : Data science can include data wrangling, summarization, exploration and visualization. Ultimately, you’re optimizing the decision-making process. How you go from data to insight is less important than the quality of the results.

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     May 16

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    Great point from John Reynders in the panel at – data science should help us decide the next relevant question to ask. True.

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     May 16

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    We’re sharing ’s tweets today for . Learn about his work applying computer science to problems in in this profile:

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     May 16

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    Yu: We have a big responsibility to democratize data

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     May 16

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    Touching down at the Seaport with for ! Come say hi!

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     May 15

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    “If you want to know if our drug is truly effective the best place to do it is not the clinic. We need to do it in the wild” – Digital Biomarkers in Pharma R&D.

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     May 16

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    Don’t miss Kurt Kuckein Architecting for Success with Machine Learning Data Platforms at 5:15PM in the Amphitheater

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     May 16

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    Damn. BioTeam is all over today. Good chance to see some of our folk who don’t normally do a lot of public talks in action. Plan your schedule accordingly and then come visit us in booth #441.

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  91.  May 18

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    Aviva Lev-Ari Retweeted Chris Dagdigian

    Bravo was impressed with attends since 2002

    Aviva Lev-Ari added,

    Damn. BioTeam is all over today. Good chance to see some of our folk who don’t normally do a lot of public talks in action. Plan your schedule accordingly and then come visit us in booth #441.
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     May 16

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    Check out my poster at to learn how is enabling in creating a digital Noah’s Ark

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    Aviva Lev-Ari Retweeted Maria Simbirsky

    BRAVO TO@dnanexus

    Aviva Lev-Ari added,

    Check out my poster at to learn how is enabling in creating a digital Noah’s Ark

    Translate Tweet

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     May 15

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    And here they are… the results of a 25 hour time window of hacking at the hackathon! Some through better understanding of the metrics but a lot also by adding documentation, code and references to existing data sources.

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     May 15

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    Registration for the 2018 Bio-IT World Conference & Expo is now OPEN. Ask about our 1 on 1 Networking Meetings.

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     May 16

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    Spotted the Starfish at

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    Aviva Lev-Ari Retweeted Kees van Bochove

    Bravo for these four steps of in

    Aviva Lev-Ari added,

    Takeaways : – DCTERMS, DCAT, VoID nearly sufficient as catalogue backbone – reuse public domain ontologies – use multi-phase filtering on queries…
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     May 16

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    Reynders: is a person asking a question and human insight pushing an answer forward.

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     May 15

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    starts today! Looking forward to three days of collaboration and celebration with the Bio-IT Community!

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     May 17

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    RT stinuslindgreen: Last keynote by carlzimmer at Fascinating walk through the infancy of genetics.

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  101.  May 18

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    Aviva Lev-Ari Retweeted Cambridge Innovation

    History of as foundation for discussing and as evolving since mid 19th Century

    Aviva Lev-Ari added,

    RT stinuslindgreen: Last keynote by carlzimmer at Fascinating walk through the infancy of genetics.
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     May 16

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    Bio-IT World Editor Allison Proffitt welcomes a panel at . Tanya Cashorali () of TCB Analytics, Jerald Schindler of , John Reynders of & Lihua Yu of

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  103.  May 18

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    Aviva Lev-Ari Retweeted Stinus Lindgreen

    The challenge is on the Genomic crowd to accomplish that challenge, will welcome reinvention if brought to them

    Aviva Lev-Ari added,

    Use of radiotherapy is another 19th century technology still in routine use. How to combine two ancient technologies with the new kid on the block: Genomics?
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     May 16

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    Learning about at

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     May 17

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    We are getting ready for the last day at – yesterday I won a car. How to top that today?

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     May 17

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    April Bingham Retweeted Helena Deus

    From my math about 18-20% female participants! Good to see diversity was top of mind for organisers as well.

    April Bingham added,

    No Man-nels at – Kudos to the organizers for ensuring gender balanced panels!
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     May 17

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    The Town Hall is just about to start, here’s one last clip of from 2017 discussing MPI and HPC schedulers and if reports of their death are greatly exaggerated

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     May 16

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    Bio-IT world expo: Well done with a gender balanced data science panel!!

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     May 17

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    “The truly happy and successful Enterprise IT folks are generalist’s.” Organisations need to invest money and time in re-training, cross-training and investing in their current staff to bring new technologies to the table. @ the expert panel.

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     May 17

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    discussing heredity and genes during his keynote presentation at

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     May 16

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    We’re absolutely thrilled to announce our breakthrough scientific search engine iScite by won the Best Of Show Award 2018!!

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     May 15

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    We are very excited to be part of ! Together with Illumina’s sequencing portfolio, the DRAGEN Bio-IT Platform enables customers to benefit from reduced investment in compute infrastructure, and accelerated result times.

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     May 17

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    👏🎉 receives an Honorable Mention for the Best Practices Awards:

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     May 17

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    John Veystman assures us that won’t take over our jobs — AI is a partner to our human intelligence

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     May 17

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    Our poster “Efficient curation and real-time querying of clinical and genomic data for 500.000 samples” was chosen as the poster competition winner at ! Come and check the winner at poster board 31

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    Aviva Lev-Ari Retweeted MediSapiens

    BRAVO FOR POSTER COMPETION WINNER

    Aviva Lev-Ari added,

    Our poster “Efficient curation and real-time querying of clinical and genomic data for 500.000 samples” was chosen as the poster competition winner at ! Come and check the winner at poster board 31 …
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     May 16

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    What is the latest tech that impressed you? : I’m excited by everything that comes out of

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    Aviva Lev-Ari Retweeted Mary-Ann Moore

    Very proud of for powerful technology

    Aviva Lev-Ari added,

    So proud of the team for winning the lifetime award for – putting the power of directly in the hands of scientists.
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    We’ve launched PetaSuite Cloud Edition at Bio-IT World 2018 and we’re proud to announce that we’ve won Best of Show. Congratulations to the whole team!

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  120.   Retweeted

     May 15

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    : 70-80% of the hospital EHR is laboratory data. And this is about to get a lot more with digital pathology. In fact if all cancer pathology in U.S. would go digital it would produce almost a exabyte of data per year.

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     May 17

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    Make your data more . Here are some tips on how to do this: Come to our booth 418 to discuss data FAIRification.

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     May 16

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    I’ve intentionally stepped away from public speaking at partially as a way to force awesome Bioteam coworkers to replace me at the podium. Psyched to see John getting ready for a tech talk about IRODS for life sci data management — Peggy is pretty awesome as well 🙂

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     May 16

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    “This company has been pushing the boundaries for the past 10 years in life sciences. With their new product they have brought natural language to the masses.” – judges. Congratulations team judges lifetime award!

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  124.   Retweeted

     May 14

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    The Data hackathon teams: – datahub with – PDX models – building on – BioAssay protocols Impressive lineup, these are major biomedical data resources!

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  125.   Retweeted

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    We are very excited to welcome Edico Genome! Together with Illumina’s sequencing portfolio, the DRAGEN Bio-IT Platform enables customers to benefit from reduced investment in compute infrastructure, and accelerated result times.

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    Yes! The -BASE platform for clinical studies with wearable sensors has won the award in data integration & management!

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    No Man-nels at – Kudos to the organizers for ensuring gender balanced panels!

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  128. Part 2: Tweets earned impressions over5/15 – 5/17/201

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      Thank you Bio-IT community for making a truly memorable event! See you next year in Boston: April 16-18, 2019

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      Part 2: Tweets earned impressions over 5/15 – 5/17/2018 Period – 2018 BioIT, Boston

    Aviva Lev-Ari @AVIVA1950  52mThank you twitter.com/stephsteeves7/…

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    Aviva Lev-Ari @AVIVA1950  May 17Bio-IT World Announces 2018 #AwardWinners – May 17, 2018 pharmaceuticalintelligence.com/2018/05/17/bio… via @Pharma_BI #BioIt18 @AVIVA1950

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    Aviva Lev-Ari @AVIVA1950  May 172018 CHI’s BioIT World conference THURSDAY, MAY 17 | 8:00 – 9:45 AM – #Awards and #Keynote pharmaceuticalintelligence.com/2018/05/17/201… via @Pharma_BI

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    Aviva Lev-Ari @AVIVA1950  May 16Synopsis Day 1 Track 7 – #NGSInformatics 2018 CHI’s BioIT World conference & Expo, May 15 – 17, 2018, Boston, MA – Seaport World Trade Center pharmaceuticalintelligence.com/2018/04/05/201… via @Pharma_BI

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    Part 3:  @pharma_BI Re-Tweets

    [@pharma_BI Retweeted]
    @pharma_BI
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    (link: https://lnkd.in/ehNewhM) lnkd.in/ehNewhM
    2018 CHI’s BioIT World conference THURSDAY, MAY 17 | 8:00 – 9:45 AM – Awards and Keynote
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    ·
    May 17
    2018 CHI’s BioIT World conference THURSDAY, MAY 17 | 8:00 – 9:45 AM – Awards and Keynote (link: http://pharmaceuticalintelligence.com/2018/05/17/2018-chis-bioit-world-conference-thursday-may-17-800-945-am-awards-and-keynote/) pharmaceuticalintelligence.com/2018/05/17/201…
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    (link: https://lnkd.in/etN-yfb) lnkd.in/etN-yfb
    2018 CHI’s BioIT World conference & Expo, May 15 – 17, 2018, Boston, MA – Seaport World Trade Center
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    May 16
    (link: https://lnkd.in/eMwHUec) lnkd.in/eMwHUec
    2018 CHI’s BioIT World conference & Expo, May 15 – 17, 2018, Boston, MA – Seaport World Trade Center
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    May 17
    RT stinuslindgreen: Last keynote by carlzimmer at #BioIT18 Fascinating walk through the infancy of genetics.
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    The Jackson Laboratory
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    May 17
    👏🎉 @JAX_CKB receives an Honorable Mention for the @bioitworld #BioIT18 Best Practices Awards: (link: http://www.bio-itworld.com/2018/05/17/2018-best-practices-winners.aspx) bio-itworld.com/2018/05/17/201…
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    2018 CHI’s BioIT World conference THURSDAY, MAY 17 | 8:00 – 9:45 AM – Awards and Keynote (link: http://pharmaceuticalintelligence.com/2018/05/17/2018-chis-bioit-world-conference-thursday-may-17-800-945-am-awards-and-keynote/) pharmaceuticalintelligence.com/2018/05/17/201…
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    (link: https://lnkd.in/etN-yfb) lnkd.in/etN-yfb
    2018 CHI’s BioIT World conference & Expo, May 15 – 17, 2018, Boston, MA – Seaport World Trade Center
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    (link: https://lnkd.in/eMwHUec) lnkd.in/eMwHUec
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    pharmaceuticalintelligence.com

    Part 4: Original Tweets by @AVIVA1950

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      Synopsis Track 7: in 2018 CHI’s BioIT World conference & Expo, May 15 – 17, 2018, Boston, MA – Seaport World Trade Center via

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      , MD @MGH and misalignment of data owners SW for MDs @ReginaBarzilay effective for expertise while data is locked in national tasks

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      , MD, @MGH @HMSTargeted in more than another diseases matching to system does not exist yet in large scale @ReginaBarzilay Probabilistic methods instead of population studies

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      , PhD, Research Professional, Booth School of Business, Institute for & , @UniversityofChicago Highest for , , , , , Results: 84 new estimates

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      Bio-IT World Announces 2018 – May 17, 2018 via

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      Announces 2018 Winners – May 17, 2018 via

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      , Dir Bioinformatics, Cloud SW development Partner DNAnexus @MicrosoftASURE in 2017, St.Jude Cloud 3000 pediatric cancer survivors – Optimize therapy to improve quality of life Gene fusions – 42 days – Leukemia RNA Seq workflow

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      Aviva Lev-Ari Retweeted Mary-Ann Moore

      Bravo

      Aviva Lev-Ari added,

      “This company has been pushing the boundaries for the past 10 years in life sciences. With their new product they have brought natural language to the masses.” – judges. Congratulations …
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      , Scientist, Research Informatics, @RochePharmaceuticals SOLUTION – 150 hours = is the most time consuming Ensebl REST API Endpoints

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      Franklin Award goes to Desmond G. Higgins, PhD, Professor, Biochemistry, University College Dublin Conway Institute of Biomolecular & Biomedical Research

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      Synopsis Day 1 Track 7 – 2018 CHI’s BioIT World conference & Expo, May 15 – 17, 2018, Boston, MA – Seaport World Trade Center via

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      or 2015 support clean sheet design create RQS for Samples Assign processes Track progres register Samples Register plates Aliquoting Storage Graphical register consumables

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Bio-IT World Announces 2018 Best Of Show Award Winners – May 17, 2018

Posted in BioIT: BioInformatics, Conference Coverage with Social Media on May 17, 2018| Leave a Comment »

Bio-IT World Announces 2018 Best Of Show Award Winners

Reporter: Aviva Lev-Ari, PhD, RN

 3h3 hours ago

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Aviva Lev-Ari Retweeted Mary-Ann Moore

Bravo

Aviva Lev-Ari added,

“This company has been pushing the boundaries for the past 10 years in life sciences. With their new product they have brought natural language to the masses.” – judges. Congratulations …
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    Award-winning Science Writer; Columnist, New York Times; Author of She Has Her Mother’s Laugh, 2018) Up to 30 top contributed the largest to

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    Plenary Keynote Presentation: Height and Intelligence: Exploring the Complexity and Controversy of Heredity

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    2018 BioIT AWARDS Judges’ Prize WINNER Alexion Pharmaceuticala nominated by EPAM Systems – SmartPanel: Rare DIsease Diagnostics – Algorithm Competition – automate from MDs Notes

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    Bio-IT World Personalized & Translational Medicine WINNER @MGH NeuroBank Patient-Centric Platform Clinical Research

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    Bio-IT World IT OINfrastructure- WINNER Celgene

  6.  5h5 hours ago

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    Bio-IT World Clinical & Health IT – WINNER TakedaPharmaceutical Nominated by Deloitte

  7.  5h5 hours ago

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    Bio-IT World Best Practices Awards – WINNER AstraZeneca, Nominated by Genedata IMED BioTech Unit

  8.  6h6 hours ago

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    Franklin Award goes to Desmond G. Higgins, PhD, Professor, Biochemistry, University College Dublin Conway Institute of Biomolecular & Biomedical Research

  9.  6h6 hours ago

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    @BenjaminFranklin and @JWBizzaro, Managing Director, .org Presented Award to @DesmondGHiggins

May 16, 2018 | BOSTON—Bio-IT World announced the 2018 winners of the Best of Show Awards Program to a packed audience at the Bio-IT World Conference & Expo. The awards program recognizes the best of the innovative product solutions for the life sciences industry on display at the Bio-IT World conference in Boston.

“It’s always a treat to explore what’s new in our industry,” said Bio-IT World Editor, Allison Proffitt. “The innovation on display by Bio-IT World exhibitors never disappoints, and we are excited to shine a spotlight on the best life sciences has to offer.”

The Best of Show program relies on a panel of expert judges from academia and industry who screen eligible new products and hear presentations from a list of finalists on site. This year our judges considered 46 new products and viewed presentations on site from 18 finalists.

The judges named winners in six categories this year: Data Integration & Management; Analysis & Data Computing; Genomic Data Services; Data Visualization & Exploration; Storage Infrastructure & Hardware; and the Judges’ Prize. Attendees also voted on the People’s Choice Award, selecting products that they believe measurably improve workflow or capacity, enabling better research.

The 2018 judging panel included Joe Cerro, BostonCIO; Chris Dwan, Bridgeplate; Richard Holland, New Forest Ventures; Eleanor Howe, Diamond Age Data Science; Phillips Kuhl, Cambridge Healthtech Institute; Steve Marshall, Marshall Data Solutions; Michael Miller, Genentech; Art Morales, Analgesic Solutions; Nanguneri Nirmala, Tufts University School of Medicine; Alexander Sherman, Massachusetts General Hospital; Subi Subramanian, Vertex Pharmaceuticals; Bill Van Etten, BioTeam; and Proffitt.

 

2018 Bio-IT World Best of Show Winners

 

People’s Choice

OnRamp BioInformatics, Inc.
ROSALIND
onramp.bio/meet-rosalind

OnRamp BioInformatics provides ROSALIND™, the first-ever genomics analysis platform specifically designed for life science researchers to analyze and interpret datasets, while freeing up more time for bioinformaticians. Named in honor of pioneering researcher Rosalind Franklin, who made a major contribution to the discovery of the double-helix structure of DNA with her famous photograph 51, OnRamp’s ROSALIND platform aims to simplify the practice of genomic data interpretation.

ROSALIND puts the researcher into the driver’s seat of data analysis and democratizes bioinformatics by broadly expanding access to genomic and proteomic technologies for cancer research, precision medicine and sustainable agriculture.

While many open-source tools remain the lifeline of genomic analysis, a simplified and innovative user experience for the biologist can empower them to run their own analyses, while utilizing these tools without the need for typing any command-line instructions.

ROSALIND is powered in partnership with Google Cloud and features scalable compute power and economical cloud-based storage. ROSALIND is a swarming docker-based genomic analysis solution incorporating the industry’s most trusted open-source tools and algorithms, with an angular front-end and secure RESTful API. ROSALIND is also deployable on-premise.

We believe that by empowering biologists with an intuitive and comprehensive platform to explore their data and collaborate with colleagues and bioinformaticians, we can help accelerate our industry and the widespread adoption of genomic technologies by dramatically lowering costs, taking out complexity and, ultimately, putting more focus back on what to do with results, not how to get to them.

 

Data Integration & Management

The Hyve BV
RADAR-base
radar-cns.org

Developed in the framework of the IMI RADAR-CNS project, RADAR-base is an open source platform designed to securely collect, store and share readings from wearable devices and smartphone sensors to enable remote monitoring. The RADAR-base platform consists of three major categories of components:

Data ingestion: Recognizing and registering data-sources (including smartphones and wearable devices), collecting the data via a direct Bluetooth connection or through a 3rd party API and streaming in near real time to the server (green box in the figure). Using Apache Kafka, the collected data is streamed to dedicated topics in real-time where the data is optimally schematized using Apache Avro;

Data storage and management: Consists of two centralized storage systems behind an authorized security layer. A cold-storage based on HDFS that is scalable and fault-tolerant focusing on storing large volumes of high frequency raw-data, and a hot-storage based on MongoDB storing aggregated data to provide a near real-time overview of the raw-data. (blue box in the figure);

Data sharing: Visualizing aggregated data in a live dashboard and exporting raw data for further analyses in various formats including AVRO, JSON and CSV (yellow box in the figure).

The platform is highly secured by a centralized management system of users and their authorities, participants, allowed devices and their specifications. RADAR-Base platform is distributed as Docker containers with associated scripts and configuration files to enable easy installation.

 

Analysis & Data Computing

Sinequa
Sinequa ES v10
sinequa.com

The Sinequa Cognitive Search and Analytics platform handles all structured and unstructured data sources and uses Natural Language Processing (NLP), statistical analysis and Machine Learning (ML) in order to create an enriched “Logical Data Warehouse” (LDW). This LDW is optimized for performance in delivering rapid responses to users’ information needs. Users can ask questions in their native language or ask that relevant information be “pushed” to them in a timely fashion when it emerges.

More than 180 connectors ready for use “out of the box” make the process of connecting multiple data sources fast and seamless. Company and industry-specific dictionaries and ontologies can be easily integrated, putting specific knowledge “under the hood” of the Sinequa platform, making it an intelligent partner for anyone in search of relevant subject information.

 

Genomic Data Services

Diploid
Moon 1.0
diploid.com/moon

Moon is the first software to autonomously diagnose rare diseases from WES/WGS data. By applying AI to the domain of rare disease diagnostics, Moon brings speed and scalability to the genome interpretation process.

The software only requires the patient’s gender, age of onset and his/her symptoms – in addition to the genetic data. Moon then goes from whole genome variant data (VCF) to pinpointing the causal variant in less than 5 minutes.

The software highlights one or a few variants that could explain the patient’s phenotype. For every variant, Moon displays an extensive list of annotations that it mined from the literature, allowing geneticists to easily verify decisions from the AI algorithms. Moon’s speed does not only save a lot of time and money, it also saves lives: Moon has already proven its utility in the NICU at Rady Children’s Hospital (San Diego): https://goo.gl/7TDrQD.

Unfortunately, about 50% of rare disease patients remain undiagnosed, even after whole genome sequencing and expert interpretation. Most hospitals don’t have the resources to keep analyzing negative cases even though new correlations between genes and disorders are published every day. Moon changes all this: as the software autonomously mines the literature and analyses samples, it can reanalyze older, negative cases in the background. Only when new information that might lead to a diagnosis becomes available, the assigned geneticist is notified. That way, hospitals can frequently reanalyze thousands of cases with minimal labor, providing a perspective to undiagnosed patients.

 

Data Visualization & Exploration

Nanome
NanoPro
nanome.ai/

Nanome is helping to improve the drug discovery process through intuitive virtual reality interfaces. They developed applications for experimentation, collaboration, and learning at the nano-scale leveraging leading VR hardware like the Oculus Rift and HTC Vive to create immersive virtual workspaces wherein users can visualize, design, and simulate molecules, proteins, and more. To try the next generation of tools for small molecule design and macromolecular exploration, stop by the Nanome Booth: #711.

There you’ll have the ability to:

  • Import molecular structures from a local machine or an online database such as RCSB or DrugBank.
  • – Manipulate molecular structures by literally grabbing, rotating, or enlarging the area of interest with their hands.
  • – Apply different representations to their selection of Atoms, Residues, Chains, or Proteins such as Stick, Wire, Ball & Stick, or Van der Waals.
  • – Measure distances and angles between atoms.
  • – Mutate amino acids and cycle through rotamer libraries.
  • – Design small molecules by building with any element from the periodic table.
  • – Minimize manipulated molecules to prevent clashes and provide a local energy minimum conformation.
  • – Duplicate or Split any selected area of your structure to modify or export independently.
  • – Export your molecular structures to PDB.
  • – Join a virtual reality session as a guest with or without virtual reality hardware.
  • – Present and collaborate in the same virtual environment with colleagues to demonstrate proposals or compare before and after results.

 

Storage Infrastructure & Hardware

PetaGene
PetaSuite Cloud Edition – Version 1.2
petagene.com

Launching at Bio-IT World 2018, PetaSuite Cloud Edition (CE) combines two innovations: (i) the ability for a user’s software tools and pipelines to seamlessly integrate with a wide variety of cloud platforms without modification, and (ii) significantly improved, high-performance, scalable PetaSuite genomic compression technology.

For example, users can now directly run, without modification, their custom BWA-mem, GATK, Python, Java, shell scripts, and other POSIX-based software/pipelines streaming directly to/from AWS, Google Cloud, Azure, and private cloud storage, as though they were local filestores. PetaSuite CE supports each platform’s object encryption during transfer and at rest. User applications can connect to multiple cloud platforms, buckets and regions as desired, transparently, and on demand, in user-mode, without needing to modify their pipelines, setup mounts, or have administrator privileges.

Whether running on bare-metal, in VMs, or within Docker containers, for public, private or hybrid cloud, PetaSuite CE enables organizations to unlock the power of distributed object storage seamlessly from their POSIX-compliant tools and pipelines.

PetaSuite CE is built from the ground-up for the extremely high performance streaming and random-access workloads demanded by genomics applications. The integrated, transparent PetaGene compression has been significantly improved to deliver even faster compression and greater reductions of up to 6x of both BAM and FASTQ.GZ files, enabling large costs savings in cloud storage and data transfer times. Moreover, PetaGene compression can also preserve the MD5 checksum of the original BAM or FASTQ.GZ file and not just the internal raw SAM/FASTQ data.

 

Judges’ Prize

Linguamatics
iScite 2.0
iscite.com

Linguamatics iScite, a Software-as-a-Service search application, puts the power of text analytics directly into scientists’ hands.

Award-winning Natural Language Processing
Researchers can extract and analyze relevant data to rapidly answer business-critical questions. iScite utilizes Linguamatics’ award-winning Natural Language Processing (NLP) based blend of analytical methods. By understanding the semantics and structure of text, iScite handles the variety of ways people express the same information, ensuring searches are comprehensive and accurate.

Easy to use on any device
iScite’s intuitive HTML interface includes a simple search box and auto-complete suggestions. The innovative answer-routing engine lets users answer simple or complex questions using puzzle-piece building blocks – simplifying access to powerful queries that extract concepts, relationships, numerical data such as drug dosages, mutations and more.

Get answers to questions, not just documents
Data sources include Linguamatics’ cloud-hosted content. MEDLINE, Clinical Trials.gov, FDA Drug Labels, PubMed Central, and Patent Abstracts are annotated with curated terminologies for diseases, drugs, genes and organizations. Scientists can answer questions such as:

  • What genes are involved in breast cancer?
  • What protocol designs have been used for immuno-oncology trials?
  • What are the adverse events for kinase inhibitors?

Actionable results
Results are presented in structured form, with bar chart facets for dynamic, visual results-filtering, a document viewer that highlights key terms and relationships, and relevant link-outs. Users can curate, save, and export their results.

iScite allows users across drug discovery and development to cut through the vast information landscape and discover the most valuable insights.

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Bio-IT World Announces 2018 Best Practices Awards Winners | May 17, 2018

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2018 CHI’s BioIT World conference THURSDAY, MAY 17 | 8:00 – 9:45 AM – Awards and Keynote

Posted in BioIT: BioInformatics, Conference Coverage with Social Media on May 17, 2018| Leave a Comment »

2018 CHI’s BioIT World conference THURSDAY, MAY 17 | 8:00 – 9:45 AM – Awards and Keynote, Volume 2 (Volume Two: Latest in Genomics Methodologies for Therapeutics: Gene Editing, NGS and BioInformatics, Simulations and the Genome Ontology), Part 1: Next Generation Sequencing (NGS)
« 
 »

2018 CHI’s BioIT World conference & Expo, May 15 – 17, 2018, Boston, MA – Seaport World Trade Center

2018 CHI’s BioIT World conference & Expo, May 15 – 17, 2018, Boston, MA – Seaport World Trade Center

http://www.bio-itworldexpo.com/

LPBI Group will cover Track 7: NGS in Real Time for #BioIT18

@pharma_BI

@AVIVA1950

Aviva Lev-Ari, PhD, RN will be in attendance

 

 

 

THURSDAY, MAY 17 | 8:00 – 9:45 AM

8:00 Organizer Remarks

Cindy Crowninshield, RDN, LDN, HHC, Senior Conference Director/Team Lead, Cambridge Healthtech Institute

 Kanda Software8:05 Awards Program Introduction

Alex Karpovsky, CEO, Kanda Software Inc.

8:10 Benjamin Franklin Awards and Laureate Presentation
J.W. Bizzaro, Managing Director, Bioinformatics.org 

Desmond G. Higgins, PhD, Professor, Biochemistry, University College Dublin Conway Institute of Biomolecular & Biomedical Research – FOR CONTRIBUTIONS to Open Access Softward for Genome Sequences FASTP, FASTN, FASTA, BLAST – development on word processors – Time O(L to the N) – & Seq – 2406 years to complete sequencing

Progressive Alignment: 1984 – 1988, Desmond G. Higgins and SHarp, 1988,1989

BEFORE WWW

  • 1984 Nucleotide Sequences – Part I – GenBank EMBL
  • Journal of Biological Chemistry
  • Condition of Publication in Journal – submit SEQUENCES in three copies before for the Nucleotide Sequences Book
  • Michael Ashbutner – The EBI – Open Access to Genome Sequences – Hixton Hall
  • EMBL – European Bioinformatics Institute
  • Dublin Conway Institute – Mainframe computer moving to PCs
  • PCs – Clustal1 – Clustal4, 1988, Paul Sharp, Dublin
  • 1992 – Interner distribution – Clustal V 1992: EMBL Heidelberg, Rainer Fuchs Alan Bleasby
  • Clustal W, Clustal X, 1994 – 2007
  • Clustal W and Clustal 2.0, 2007
  • Top 30 papers on ISI up to 2015: Citation is a measure of ACTIVITY not of IMPORTANCE
  • 2008 Plan: Start from scratch
  • Clustal Omega – Release 4/2011
  • http://ebi.ac.uk/Tools

 

8:35 Bio-IT World Best Practices Awards
Allison Proffitt, Editorial Director, Bio-IT World

8:50 Keynote Introduction

  • Fastest Lowest Cost of WGA in Fire Cloud —
  • Genomics Analytics GATK4 of Intel
  • 5X in 1/3 the Time
  • AI in Genomics with GATK4 – GREATER Accuracy and Performance – Tensorflow

Michael McManus, Principal Solution Architect, Sales Marketing Group, Intel Corporation

9:00 Plenary Keynote Presentation: Height and Intelligence: Exploring the Complexity and Controversy of Heredity

Carl Zimmer

Award-winning Science Writer; Columnist, New York Times; Author of She Has Her Mother’s Laugh (coming May 2018)

Heredity has long been one of the foundations of society–but also the justification for some of the worst crimes in history. It has only been in the past century that scientists have begun to work out some of its molecular details. But the mysteries and controversies over heredity have proved remarkably durable. In my talk, I’ll explore the history and current research into heredity of two traits–height and intelligence. They may seem at first to be polar opposites, but it turns out they actually share some remarkable similarities.

Carl Zimmer is the author of 13 books about science. His newest book is She Has Her Mother’s Laugh: The Power, Perversions, and Potential of Heredity. His column, “Matter,” appears each week in the New York Times. Zimmer’s writing has earned a number of awards, including the 2016 Stephen Jay Gould Prize, awarded by the Society for the Study of Evolution to recognize individuals whose sustained efforts have advanced public understanding of evolutionary science. In 2017, he won an Online Journalism Award for his series of articles in which he explored his genome. A professor adjunct at Yale University, Zimmer is a familiar voice on programs such as Radiolab. He lives in Connecticut with his wife Grace and their children, Charlotte and Veronica. He is, to his knowledge, the only writer after whom a species of tapeworm has been named.

  • Galton,
  • Herditary Genius: Laws and Consequences, 1869
  • Twins: Hereditary & the Environment: Monozygotic twins vs Dizygotic twins, and adopted twins into different families
  • Laron Syndrome – very low stature
  • Growth Hormone – AIP gene
  • Joel Hirschhorn, Broad Institute
  • 3290 – 2018 700,00 people
  • Jonathan Pitcher – Polygenic to Omnigenic
  • Average Women’s Height (cm): Canada 157.6 CM [163.9 in 2018 vs Barbas 152.1 {169.2 in 2018]
  • Eugenics, Henry Goddard (advocated Sterilization) studied feable minded childrenVineland Training School, NJ
  • Binet – Intelligence Test related to Age
  • Feable mindedness related to hereditery: Emma Wolverton – Case study in Inheritance Kallikak Family
  • Das Erbe, 1935
  • Ian Deary, Univ of Edinburgh, 90s Correlation between IQ and mental processes
  • Sniekers, et al, Natural Genetics 49.7 – 52 Genes tied to Human Intelligence NYT, 05/22/2017
  • Up to 30 top SNPs contributed the largest to IQ Scores
  • Ancestry.com – Million of Gemone Profiles
  • DNALand.com
  • Lower Iodine – lower IQ, added Iodine to water then crops pregnant women increase IQ by 16 points.
  • Height – complex: DIet weight more protein, healthier pregnancy

 

 

 

9:45 Coffee Break in the Exhibit Hall and Poster Competition Winners Announced

9:45 Book Signing

She Has Her Mother’s Laugh
Carl Zimmer, Award-winning Science Writer and Columnist, New York Times

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Retweets, Likes of Tweets by @AVIVA1950 @pharma_BI on May 8, 2018 for 12th Annual US-India BioPharma & Healthcare Summit, May 8, 2018, Marriott, Cambridge @USAIC #USAIC2018

Posted in BioTechnology - Venture Creation, BioTechnology - Venture Creation, Venture Capital, Conference Coverage with Social Media, LPBI Group, e-Scientific Media, DFP, R&D-M3DP, R&D-Drug Discovery, US Patents: SOPs and Team Management on May 9, 2018| Leave a Comment »

Retweets, Likes of Tweets by @AVIVA1950 @pharma_BI on May 8, 2018 for 12th Annual US-India BioPharma & Healthcare Summit, May 8, 2018, Marriott,  Cambridge

@USAIC #USAIC2018

Curator: Aviva Lev- Ari, PhD, RN

 

Re-Tweets of MY TWEETS: via

@pharma_BI

@AVIVA1950

for 12th Annual US-India BioPharma & Healthcare Summit, May 8, 2018, Marriott Cambridge

@USAIC

#USAIC2018

 

Stephen J Williams Retweeted your Tweet

 

Aviva Lev-Ari @AVIVA1950

Dr. David Goldstein, Director, Institute for Genomic Medicine, Columbia University Medical Center Clinical Trials in AD are very expensive collection of Data of AD populations for subgroups of Patients: Epilepsy vs AD Heterogeneity of AD @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

Aviva Lev-Ari @AVIVA1950

SYNOPSIS @USAIC #USAIC2018 by @pharma_BI @AVIVA1950 for 12th Annual US-India BioPharma & Healthcare Summit, May 8, 2018, Marriott Cambridge https://pharmaceuticalintelligence.com/2018/01/18/12th-annual-us-india-biopharma-healthcare-summit-may-8-2018-marriott-cambridge/ … via @Pharma_BI

 

Aviva Lev-Ari @AVIVA1950

Dr. Meeta Chatterjee, Head, Business Strategy & Operations, Business Development & Licensing, Merck Research Labs Biomarkers as surugate for Outcomes reduce cost of drug development very expensive @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

Aviva Lev-Ari @AVIVA1950

@SteliosPapadopoulos @Biogen Investors in Public Companies 80s Biotech @biogen @Genzyme @Amgen @Genetech in 90s @MedicinalChemistry Disappointment 2000-2010, Excitement 2015 on investment is generously @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

Aviva Lev-Ari @AVIVA1950

Academic Young entrepreneurs How the split of the rewards determined between the Academic institutions and the Investor? @AnsbertGadicke in China and in The US that definition of rewards is very different. @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

Aviva Lev-Ari @AVIVA1950

BioParma Innovation + @AffordablePrice Measurable #MedicalVALUE Drivers of Positive return on R&D: #Payers, #Genomics, #smartmoney, #sophisticatedconsumers of messy #data identify UNDIAGNOZED Patients @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

Aviva Lev-Ari @AVIVA1950

Academic Young entrepreneurs How the split of the rewards determined between the Academic institutions and the Investor? #AnsbertGadicke in CHina and in The US that definition of rewards is very different. @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

Aviva Lev-Ari @AVIVA1950

@BruceChabner @MGH@HMS @DanaFarber they CREATED the Diagnostics Industry via Genomics pioneering testing and linking to therapy Most of the World does not have ACCESS to #Diagnostics for #PatientSelection @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

Aviva Lev-Ari @AVIVA1950

#PhilipRowlands, Head of the Oncology Therapeutic Area Unit, @Takeda Pharmaceuticals Oncology got MOST investment by Pharma assays challenge of Resistence, how prioritization of combination therapy @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

Aviva Lev-Ari @AVIVA1950

Panel on Investment: @AnsbertGadicke, Founder & Managing Director @MPM Capital @SteliosPapadopoulos, Chairman @Biogen @TsutomuUne, Senior Corporate Advisor, @GCACorporation Moderator: @WilliamChin, Professor of Medicine, Emeritus @HMS @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

Database Integration Retweeted your Tweet

Aviva Lev-Ari @AVIVA1950

@ShahramEbadollahi #IBM @Watson #blockchain #AI is foundational @ColinHill, Chairman & CEO, @GNSHealthcare believes in digitization in Healthcare #BigData used for #repurposing #drugdevelopment and new #drugcombinations development @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

Albert Boxler and Logan Stewart followed you

Jerome Gels liked your Tweet

Aviva Lev-Ari @AVIVA1950

BioParma Innovation + @AffordablePrice Measurable #MedicalVALUE Drivers of Positive return on R&D: #Payers, #Genomics, #smartmoney, #sophisticatedconsumers of messy #data identify UNDIAGNOZED Patients @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

Eliances Community liked your Tweet

@SteliosPapadopoulos @Biogen Investors in Public Companies 80s Biotech @biogen @Genzyme @Amgen @Genetech in 90s @MedicianlChemistry Disappointment 2000-2010, Excitement 2015 on investment is generously @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

Zos liked your reply

Aviva Lev-Ari @AVIVA1950

@StevenPaul CEO @VoyagerTherapeutics #Bipolar #Schizophrenia much development of techniques and methodologies but these diseases are not well known, yet new cycle of development on its way @USAIC #USAIC2018 @pharma_BI @AVIVA1950

Cris De Luca liked your Tweet

Aviva Lev-Ari @AVIVA1950

@MathaiMammen @JnJ Emphasize Disease vs Organizational assignment of science space is crucial hiring people with conviction @MichaelEhlers @Biogen BEST people for Science bench @AndrewPlump @Takeda all efforts on PARTNERSHIPS and culture @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

Genomics Edtech Retweeted your Tweet

Aviva Lev-Ari @AVIVA1950

BioParma Innovation + @AffordablePrice Measurable #MedicalVALUE Drivers of Positive return on R&D: #Payers, #Genomics, #smartmoney, #sophisticatedconsumers of messy #data identify UNDIAGNOZED Patients @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

C The Crypto Fox, Bharat Ghankutkar and GNS Healthcare liked your Tweet

Aviva Lev-Ari @AVIVA1950

@ShahramEbadollahi #IBM @Watson #blockchain #AI is foundational @ColinHill, Chairman & CEO, @GNSHealthcare believes in digitization in Healthcare #BigData used for #repurposing #drugdevelopment and new #drugcombinations development @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

Cash For Your Warhol liked your Tweet

Aviva Lev-Ari @AVIVA1950

#VijayChandru, Chairman, @StrandLifeSciences Cost compression Data scientists cooperation on Health IT US and India model @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

Crypto Goddess 🙂 liked your Tweet

Aviva Lev-Ari @AVIVA1950

#Blockchain platform decision medicine drugs, #AI leverage data already existing find new dedication from data collected in the past @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

Sarah Morgan liked your reply

Aviva Lev-Ari @AVIVA1950

@JonathanEpstein @UPenn collaboration with 200 Novartis employees on site at the Medical School Clinical Trial and Manufacturing Cell-based therapies OUTSTANDING Clinicians kept the patient alive during the drug development immunetherapy @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

Nate Agapi and Justin Farrell followed you

 

Rubeena Qurashi liked your Tweet

Aviva Lev-Ari @AVIVA1950

Discovery to Commercialization – Data is Fragmented across institutions Diabetes Patients had higher risk for CVD in comparison to Obese Patient non-Diabetes – that data to confirm and monitor was not integrated. @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

Cash For Your Warhol liked your Tweet

Aviva Lev-Ari @AVIVA1950

#NeuroDiseases Panelists: @AlfredSandrock @Biogen @DavidGoldstein @Columbia @MaurizioFava @HMS @MeetaChatterjee @Merck @StevenPaul @Voyager @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

Georgia Mitsi and USAIC Retweeted your reply

Aviva Lev-Ari @AVIVA1950

@JonathanEpstein @UPenn collaboration with 200 Novartis employees on site at the Medical School Clinical Trial and Manufacturing Cell-based therapies OUTSTANDING Clinicians kept the patient alive during the drug development immunetherapy @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

Georgia Mitsi liked your reply

Aviva Lev-Ari @AVIVA1950

@JonathanEpstein @UPenn collaboration with 200 Novartis employees on site at the Medical School Clinical Trial and Manufacturing Cell-based therapies OUTSTANDING Clinicians kept the patient alive during the drug development immunetherapy @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

 

MY TWEETS: via

@pharma_BI

@AVIVA1950

at for 12th Annual US-India BioPharma & Healthcare Summit, May 8, 2018, Marriott Cambridge

@USAIC

#USAIC201

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  1. Aviva Lev-Ari‏ @AVIVA195019h19 hours ago

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SYNOPSIS @USAIC #USAIC2018 by @pharma_BI @AVIVA1950 for 12th Annual US-India BioPharma & Healthcare Summit, May 8, 2018, Marriott Cambridge https://pharmaceuticalintelligence.com/2018/01/18/12th-annual-us-india-biopharma-healthcare-summit-may-8-2018-marriott-cambridge/ … via @Pharma_BI

 

  1. Aviva Lev-Ari‏ @AVIVA195019h19 hours ago

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@AndrewPlump Chief Medical and Scientific Officer @Takeda Role of #AcademicInstitutions in Innovation and R&D?

  1. Aviva Lev-Ari‏ @AVIVA195019h19 hours ago

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@VijayChandru, Chairman, @StrandLifeSciences Cost compression Data scientists cooperation on Health IT US and India model @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195019h19 hours ago

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@ShahramEbadollahi @IBMWatson Access of Patient data, clinical Trial data, medical record data Tested on a Bitcoin platform using encryption as a Trusted distributed data architecture system @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

  1. Aviva Lev-Ari‏ @AVIVA195019h19 hours ago

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@ShahramEbadollahi @IBMWatson #AI #Bitcoin is a platform for integration of all the records for Watson platform transaction – establish TRUST based on the cryptography of the system consent to share data FDA and CDC as Partner to TEST data @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195019h19 hours ago

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Technology Platforms @ChrisBenko, Co-Founder & CEO @KoneksaHealth @ColinHill CEO @GNSHealthcare @PeterMueller, Chairman, @BioXcelTherapeutics @ShahramEbadollahi @IBM Watson Health Group, IBM @VijayChandru, Chairman @StrandLifeSciences @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195019h19 hours ago

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@SusanHockfield ex-President @MIT Thesis is a source of ideas @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195019h19 hours ago

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@GeorgeDaley Dean @HMS PhD Program Faculties spend Sabbaticals in Industry BIOLOGY IS ADVANCING FAST NEW PROGRAMS FOR HTERAPIES @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

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  1. Aviva Lev-Ari‏ @AVIVA195019h19 hours ago

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@SusanHockfield ex-President @MIT the INTELLIGENT WEST #AI # Radiology interpretation @ReginaBarzilay revising curriculum to reinvent the FIELD basket of problems industry people on Campus searching @MIT Basket of experiment & ideas @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195019h19 hours ago

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@GeorgeDaley Dean @HMS Tools penetration systems going back and forth between models Interdisciplinary institutes, @Harvard Centers for research Projects do not get advanced enough to interest VCs 100 faculties mroject not advanced enough @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195019h19 hours ago

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@SusanHockfield ex-President @MIT Foundations MIT faculties go back and forth to Industry Research in Educ Institution, purpose of Univ different that Top-DOwn Org producing @MIT #engineering and #BiologicalSciences are placed together @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

  1. Aviva Lev-Ari‏ @AVIVA195019h19 hours ago

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@GeorgeDaley Dean @HMS Science happens faster, ecosystem In 15 yrs different system rethink new ways 35 years of incubation accelerate process invest in regulatory change the Game to eb cheaper better faster invest in new Initiative @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195019h19 hours ago

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Fireside Chat: @GeorgeDaley Dean @HMS @SusanHockfield President Emerita & Professor of Neuroscience @MIT Moderator: @AndrewPlump Chief Medical and Scientific Officer @Takeda @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195019h19 hours ago

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Academic Young entrepreneurs How the split of the rewards determined between the Academic institutions and the Investor? @AnsbertGadicke in CHina and in The US that definition of rewards is very different. @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195020h20 hours ago

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@AnsbertGadicke, Founder & Managing Director, MPM Capital Invest in combinations therapy in one vial several times cheaper than each agent alone @USAIC #USAIC2018 @pharma_BI @AVIVA1950

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@SteliosPapadopoulos, Chairman @Biogen Studies on #Prevention – CVD Endpoint right drug to get to endpoint by clinical trials #Vaccines: validate science that it can be done @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195020h20 hours ago

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@WilliamChin, Professor of Medicine, Emeritus, Harvard Medical School Notion A1C took decades to develop @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195020h20 hours ago

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@TsutomuUne, Senior Corporate Advisor @GCA Corporation Need to care for ELderly population should direct the investment – we started with therapy then prevention @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195020h20 hours ago

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@AnsbertGadicke, Founder & Managing Director @MPM Capital Academic founders of start ups – innovations from Academia @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195020h20 hours ago

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@AnsbertGadicke, Founder & Managing Director @MPMCapital Investment of private funds $50Million in a start up on average stay away from Capital market @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195020h20 hours ago

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@SteliosPapadopoulos, Chairman @Biogen New compounds is the name of the game for pipeline of drugs @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

 

  1. Aviva Lev-Ari‏ @AVIVA195020h20 hours ago

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@TsutomuUne, Senior Corporate Advisor, @GCACorporation invest in buying the opportunity to participate @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195020h20 hours ago

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@AnsbertGadicke @MPMCapital New Directions: Own money for IMPACT module invest in young investigators investment in Underdeveloped countries to offer access to drugs @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195020h20 hours ago

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@SteliosPapadopoulos @Biogen Investors in Public Companies 80s Biotech @biogen @Genzyme @Amgen @Genetech in 90s @MedicianlChemistry Disappointment 2000-2010, Excitement 2015 on investment is generously @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195020h20 hours ago

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Panel on Investment: @AnsbertGadicke, Founder & Managing Director @MPM Capital @SteliosPapadopoulos, Chairman @Biogen @TsutomuUne, Senior Corporate Advisor, @GCACorporation Moderator: @WilliamChin, Professor of Medicine, Emeritus @HMS @USAIC #USAIC2018 @pharma_BI @AVIVA1950

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@VictoriaRichon, President & CEO @Ribon Therapeutics @KurtStoeckli @Glen Pharmaceuticals – EARLY detection continues to be the calprit of Therapy Outcome @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195020h20 hours ago

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@VictoriaRichon, President & CEO, @Ribon Therapeutics Biomarker development for use in assignment of Patients to Clinical Trials @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195020h20 hours ago

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@BruceChabner @MGH@HMS @DanaFarber they CREATED the Diagnostics Industry via Genomics pioneering testing and linking to therapy Most of the World does not have ACCESS to #Diagnostics for #PatientSelection @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195020h20 hours ago

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Reimbursement for Diagnostics @PhilipRowlands @Takeda Oncology is very competitive next generation is combination therapy – which one to own @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195020h20 hours ago

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@RakeshJain @MGH @HMS Biomarkers needs for the micro-environment of the Tumors @KurtStoeckli #PrecisionTherapy will be key for cost efficiencies @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195020h20 hours ago

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@BruceChabner @MGH @HMS – DRUG-Based Biomarkers – circulating DNA, Exosomes moving directly to Clinical Trials @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195020h20 hours ago

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@PhilipRowlands, Head of the Oncology Therapeutic Area Unit, @Takeda Pharmaceuticals Oncology got MOST investment by Pharma assays challenge of Resistence, how prioritization of combination therapy @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195020h20 hours ago

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@RakeshJain, #TumorBiology, @MGH Cancer Center @HMS Immuno supression caused by Hypoxia, improve oxigenation buy prescription of antihypertension drugs, stinulate the innume system checkpoint blockers @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195020h20 hours ago

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#Oncology Panelists: Moderator: @RajuKucherlapati @HMS @BruceChabner @MGH @HMS @KurtStoeckli @Glenmark @PhilipRowlands @Takeda @VictoriaRichon @RibonTherapeutics @RakeshJain @MGH @HMS @USAIC #USAIC2018 @pharma_BI @AVIVA1950

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  1. Aviva Lev-Ari‏ @AVIVA195020h20 hours ago

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@MathaiMammen @JnJ Emphasize Disease vs Organizational assignment of science space is crucial hiring people with conviction @MichaelEhlers @Biogen BEST people for Science bench @AndrewPlump @Takeda all efforts on PARTNERSHIPS and culture @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195020h20 hours ago

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@MichaelEhlers, Head of Research & Development, Biogen moved from Pfizer to Biogen HUMAN BIOLOGY across the board scientific clinical judgement scientists that scrutinize data and are skeptical are reluctant to be Sales @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195020h20 hours ago

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@AndrewPlump, Chief Medical and Scientific Officer @Takeda Pharmaceuticals out of 12 drugs introduced in decade 4 got to market all were acquisitions transformation 2013 restructuring lab updates new pipeline – stabilize stage @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195020h20 hours ago

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Drug Discovery: @AndrewPlump, Chief Medical and Scientific Officer, @Takeda @MathaiMammen, Global Head of R&D, @Janssen Pharmaceutical- JnJ @MichaelEhlers, Head of Research & Development @Biogen Moderator: @Martin Mackay CEO @Rallybio @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195020h20 hours ago

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BioParma Innovation + @AffordablePrice Measurable #MedicalVALUE Drivers of Positive return on R&D: #Payers, #Genomics, #smartmoney, #sophisticatedconsumers of messy #data identify UNDIAGNOZED Patients @USAIC #USAIC2018 @pharma_BI @AVIVA1950

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  1. Aviva Lev-Ari‏ @AVIVA195021h21 hours ago

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BioPharma: An Extraordinary BioPharma Disruption @AjayDhankhar, Senior Partner, @McKinsey @SastryChilukuri @McKinsey Big-4 Disruptions: #Aging #Urbanization #Globalization #TechnoAcceleration: #IT #Buildingblocks #Robotics #NewEnergy @USAIC #USAIC2018 @pharma_BI @AVIVA1950

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  1. Aviva Lev-Ari‏ @AVIVA195021h21 hours ago

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@ShahramEbadollahi #IBM @Watson #blockchain #AI is foundational @ColinHill, Chairman & CEO, @GNSHealthcare believes in digitization in Healthcare #BigData used for #repurposing #drugdevelopment and new #drugcombinations development @USAIC #USAIC2018 @pharma_BI @AVIVA1950

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  1. Aviva Lev-Ari‏ @AVIVA195022h22 hours ago

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#Blockchain platform decision medicine drugs, #AI leverage data already existing find new dedication from data collected in the past @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195022h22 hours ago

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#VijayChandru, Chairman, @StrandLifeSciences Cost compression Data scientists cooperation on Health IT US and India model @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195022h22 hours ago

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#ShahramEbadollahi @IBMWatson Access of Patient data, clinical Trial data, medical record data Tested on a Bitcoin platform using encryption as a Trusted distributed data architecture system @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195022h22 hours ago

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#ShahramEbadollahi @IBMWatson #AI #Bitcoin is a platform for integration of all the records for Watson platform transaction – establish TRUST based on the cryptography of the system consent to share data FDA and CDC as Partner to TEST data @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195022h22 hours ago

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Technology Platforms #ChrisBenko, Co-Founder & CEO @KoneksaHealth #ColinHill CEO @GNSHealthcare #PeterMueller, Chairman, @BioXcelTherapeutics #ShahramEbadollahi @IBM Watson Health Group, IBM #VijayChandru, Chairman @StrandLifeSciences @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195023h23 hours ago

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Academic Young entrepreneurs How the split of the rewards determined between the Academic institutions and the Investor? #AnsbertGadicke in CHina and in The US that definition of rewards is very different. @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195023h23 hours ago

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#SteliosPapadopoulos focus on DISTRUCTIVE treatment price control, regulation will impact investment @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195023h23 hours ago

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#AnsbertGadicke, Founder & Managing Director, MPM Capital Invest in combinations therapy in one vial several times cheaper than each agent alone @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195023h23 hours ago

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#SteliosPapadopoulos, Chairman @Biogen Studies on #Prevention – CVD Endpoint right drug to get to endpoint by clinical trials #Vaccines: validate science that it can be done @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195023h23 hours ago

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#William Chin, Professor of Medicine, Emeritus, Harvard Medical School Notion A1C took decades to develop @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195023h23 hours ago

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#TsutomuUne, Senior Corporate Advisor @GCA Corporation Need to care for ELderly population should direct the investment – we started with therapy then prevention @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195023h23 hours ago

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#AnsbertGadicke, Founder & Managing Director @MPM Capital Academic founders of start ups – innovations from Academia @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195023h23 hours ago

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#AnsbertGadicke, Founder & Managing Director @MPMCapital Investment of private funds $50Million in a start up on average stay away from Capital market @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195023h23 hours ago

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#SteliosPapadopoulos, Chairman @Biogen New compounds is the name of the game for pipeline of drugs @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195023h23 hours ago

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#TsutomuUne, Senior Corporate Advisor, @GCACorporation invest in buying the opportunity to participate @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195023h23 hours ago

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#AnsbertGadicke @MPMCapital New DIrections: Own money for IMPACT module invest in young investigators investment in Underdeveloped countries to offer access to drugs @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195023h23 hours ago

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#SteliosPapadopoulos @Biogen Investors in Public Companies 80s Biotech @biogen @Genzyme @Amgen @Genetech in 90s @MedicianlChemistry Disappointment 2000-2010, Excitement 2015 on investment is generousely @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195024h24 hours ago

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Panel on Investment: @AnsbertGadicke, Founder & Managing Director @MPM Capital #SteliosPapadopoulos, Chairman @Biogen @TsutomuUne, Senior Corporate Advisor, @GCACorporation Moderator: @WilliamChin, Professor of Medicine, Emeritus @HMS @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195024h24 hours ago

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@AndrewPlump, Chief Medical & Scientific Officer, @Takeda Pharmaceuticals In the Past Cancer was a death sentence NOT any more, we see therapy and cure in Oncology @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195024h24 hours ago

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#VictoriaRichon, President & CEO @Ribon Therapeutics #KurtStoeckli @Glen Pharmaceuticals – EARLY detection continues to be the calprit of Therapy Outcome @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195024h24 hours ago

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@RakeshJain, @MGH @HMS IF 85% of blood vessels in tumor are collapsed (hypoxia) how do you deliver drugs to the tumor?? @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195024h24 hours ago

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#Diagnostics is not a viable model for #Investors unless the reimbursement will change the process for diagnostics approval is like of drugs @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195024h24 hours ago

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#VictoriaRichon, President & CEO, @Ribon Therapeutics Biomarker development for use in assignment of Patients to Clinical Trials @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195024h24 hours ago

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#BruceChabner @MGH@HMS @DanaFarber they CREATED the Diagnostics Industry via Genomics pioneering testing and linking to therapy Most of the World does not have ACCESS to #diagnostics #Diagnostics for #PatientSelection @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195024h24 hours ago

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Reimbursement for Diagnostics #PhilipRowlands @Takeda Oncology is very competitive next generation is combination therapy – which one to own @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA195024h24 hours ago

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#RakeshJain @MGH @HMS Biomarkers needs for the micro-environment of the Tumors #KurtStoeckli #PrecisionTherapy willl be key for cost efficiencies @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950May 8

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Dr. Kurt Stoeckli, President and Chief Scientific Officer, Glenmark Pharmaceuticals – cost effectiveness by clinical trial design and biomarkers @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950May 8

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#BruceChabner @MGH @HMS – DRUG-Based Biomarkers – circulating DNA, Exosomes moving directly to Clinical Trials @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950May 8

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#PhilipRowlands, Head of the Oncology Therapeutic Area Unit, @Takeda Pharmaceuticals Oncology got MOST investment by Pharma assays challenge of Resistence, how prioritization of combination therapy @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950May 8

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@KurtStoeckli, President and Chief Scientific Officer, Glenmark Pharmaceuticals Translational Experiment on going origin of the cells, microenvironment, immuno science models @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

  1. Aviva Lev-Ari‏ @AVIVA1950May 8

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@VictoriaRichon, President & CEO @RibonTherapeutics DO we have the bIomarkers, do we ahve the right Trial, How to bring new therapies – agree Biomarkers are kEY @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950May 8

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Dr. Kurt Stoeckli, President and Chief Scientific Officer, Glenmark Pharmaceuticals Testing the right combination therapy is critical @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950May 8

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Dr. Bruce Chabner, Director of Clinical Research, Mass General Hospital Cancer Center/Harvard Medical School told historic milestory in Oncology Therapy @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950May 8

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#RakeshJain, #TumorBiology, @MGH Cancer Center @HMS Immuno supression caused by Hypoxia, improve oxigenation buy prescription of antihypertension drugs, stinulate the innume system checkpoint blockers @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950May 8

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#Oncology Panelists: Moderator: #RajuKucherlapati @HMS #BruceChabner @MGH @HMS #KurtStoeckli @Glenmark #PhilipRowlands @Takeda #VictoriaRichon @RibonTherapeutics #RakeshJain @MGH @HMS @USAIC #USAIC2018 @pharma_BI @AVIVA1950

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  1. Aviva Lev-Ari‏ @AVIVA1950May 8

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@AlfredSandrock #CMO @Biogen Sensors better than neuro-cognitive testing and assessment of cognition @MaurizioFava @HMS The ALL OF US One Million Volunteer is very promising for research @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950May 8

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@DavidGoldstein, Director, Institute for Genomic Medicine, @Columbia University Medical Center Accelerate getting Knowledge of the disease, CF biology was known in AD combination of Amyloid in MRI Imaging and Genomics in combination @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950May 8

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@MaurizioFava @HMS Leverage Big Data very important in Clinical Trial Design, Biomarkers Using #ML on Data we are close best minds are applied to #AI Universities must become user-friendly to Industry for Clinical Trials @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950May 8

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@StevenPaul @VoyagerTherapeutics SLOWING the disease by 6 years save 50% of the dying from disease @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950May 8

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Moderator: @SteveUden, Co-Founder, @Rallybio Identify Early disease, @StevenPaul @VoyagerTherapeutics Biomarkers: if Amyloid at age 40 – progression to AD predicted, TAU predicts progression of AD @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950May 8

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Dr. David Goldstein, Director, Institute for Genomic Medicine, Columbia University Medical Center Clinical Trials in AD are very expensive collection of Data of AD populations for subgroups of Patients: Epilepsy vs AD Heterogeneity of AD @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950May 8

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Dr. Meeta Chatterjee, Head, Business Strategy & Operations, Business Development & Licensing, Merck Research Labs Biomarkers as surugate for Outcomes reduce cost of drug development very expensive @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950May 8

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@StevenPaul, President and Chief Executive Officer, Voyager Therapeutics CNS is not to be compare with antiCHolesterol DIsease, Ameloid is necessary not sufficient @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950May 8

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@MeetaChatterjee, Head, Business Strategy & Operations, Business Development & Licensing, @Merck In ImmunoOncology great success BUT in Dimentia and Alzheimer’s Disease NO success to compare @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

  1. Aviva Lev-Ari‏ @AVIVA1950May 8

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@StevenPaul CEO @VoyagerTherapeutics #Bipolar #Schizophrenia much development of techniques and methodologies but these diseases are not well known, yet new cycle of development on its way @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950May 8

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@DavidGoldstein #GenomicMedicine @Columbia CNS diseases: ALS, Epilepsy NOT only and NOT primarily Genomics Focus on Disease but pathways, proteins @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950May 8

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Early Clinical Trials in #MultitpleSclerosis Breakthrough is using MRI for disease progression prediction @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950May 8

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#NeuroDiseases Panelists: @AlfredSandrock @Biogen @DavidGoldstein @Columbia @MaurizioFava @HMS @MeetaChatterjee @Merck @StevenPaul @Voyager @USAIC #USAIC2018 @pharma_BI @AVIVA1950

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  1. Aviva Lev-Ari‏ @AVIVA1950May 8

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@JonathanEpstein Students are in need for internships with Industry and develop entrepreneurships @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950May 8

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DIscovery to Commercialization – Data is Fragmented across institutions Diabetes Patients had higher risk for CVD in comparison to Obese Patient non-Diabetes – that data to confirm and monitor was not integrated. @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950May 8

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@ChasBountra @Oxford Accessing in the UK across all Academia opening resources: Goventment funds, Takeda helps in resources needed for integration of sources WHile in Academia Access across institutions is easier @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

  1. Aviva Lev-Ari‏ @AVIVA1950May 8

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In India explosion Hospitals adding Bioinformatics and Big Data Analytics, Databases on Infectious Diseases. Data Mining Pfizer is surveying disease data @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950May 8

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@ChasBountra Talking on MPACT, drug discovery the role of Academia is NOT ro replicate the excellence existing in Pharma, in Academia basic sciencec innovations to lead @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950May 8

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Partnership with academia to enrich the early pipeline with new drugs Transformation on matters of science no internal expertise exist @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950May 8

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@JonathanEpstein @UPenn collaboration with 200 Novartis employees on site at the Medical School Clinical Trial and Manufacturing Cell-based therapies OUTSTANDING Clinicians kept the patient alive during the drug development immunetherapy @USAIC #USAIC2018 @pharma_BI @AVIVA1950

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  1. Aviva Lev-Ari‏ @AVIVA1950May 8

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@SridaranNatesan major role played by New Prime Minister @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950May 8

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In India major shift from publications in Journals to funding start ups, India Industry became bold, interaction with academia outside of India Sweden, Stanford, Boston – @JoslinClinic – Formulation Vaccine India Tech Transfer was a problem @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950May 8

@JonathanEpstein #CSO @UPenn Success of the Process wish to see results in our Life time IMPACT of innovations @USAIC #USAIC2018 @pharma_BI @AVIVA1950

 

  1. Aviva Lev-Ari‏ @AVIVA1950May 8

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@JimGlasheen @UMMS Transfer Office has challenges of responsiveness to Faculty @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950May 8

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@NirmalKumarGanguly, President, @ApolloHospitals promising relationships with Academia changing mind set different organizational culture @USAIC #USAIC2018 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950May 8

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@ChasBountra, Chief Scientist, Structural #Genomics Consortium @Oxford discover NOVEL #reagents given to #Academia and #Pharma @USAIC #USAIC18 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950May 8

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Industry-Academic Research Partnerships Moderator: @JuanHarrison @Takeda #Industry #BigPharma #Academia STORIES @ChasBountra @Oxford @JimGlasheen @UMass @JonathanEpstein @UPenn @NirmalKumarGanguly @ApolloHospitals @SridaranNatesan @Sanofi @USAIC #USAIC18 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950May 8

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@AndrewPlump, Chief Medical & Scientific Officer, @Takeda #Pharmaceuticals Government Challenges in India active is providing access and affordable #HealthCare @USAIC #USAIC18 @pharma_BI @AVIVA1950

Aviva Lev-Ari‏ @AVIVA1950 May 7

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12th Annual US-India BioPharma & Healthcare Summit, May 8, 2018, Marriott Cambridge @USAIC #USAIC18 @pharma_BI @AVIVA1950 https://pharmaceuticalintelligence.com/2018/01/18/12th-annual-us-india-biopharma-healthcare-summit-may-8-2018-marriott-cambridge/ … via @Pharma_BI

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Retweets, Likes of Tweets by @AVIVA1950 on 4/23/2018 – 4/25/2018 at 2018 Annual World Medical Innovation Forum Artificial Intelligence April 23–25, 2018 Boston, Massachusetts  | Westin 

Posted in Conference Coverage with Social Media, LPBI Group, e-Scientific Media, DFP, R&D-M3DP, R&D-Drug Discovery, US Patents: SOPs and Team Management on April 26, 2018| Leave a Comment »

Retweets, Likes of Tweets by @AVIVA1950 on 4/23/2018 – 4/25/2018 at 2018 Annual World Medical Innovation Forum Artificial Intelligence April 23–25, 2018 Boston, Massachusetts  | Westin

Curator: Aviva Lev-Ari, PhD, RN

 

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Synopsis Days 1,2,3: 2018 Annual World Medical Innovation Forum Artificial Intelligence April 23–25, 2018 Boston, Massachusetts  | Westin Copley Place     via 

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    Synopsis Days 1,2,3: 2018 Annual World Medical Innovation Forum Artificial Intelligence April 23–25, 2018 Boston, Massachusetts  | Westin Copley Place     via 

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    Amazing 12 DISRUPTIVE Technologies, follow my Twitter handle for all my Tweets at the Conference

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      Virtual version of SIRI for implementation in Hospitals  – secure trusted data technology is available application of neural nets to HC – reduction of error, language understanding heavy lifting needed   

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     Day 3: 2018 Annual      April 23–25, 2018 Boston, Massachusetts  | Westin Copley Place     via 

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     Day 3: 2018 Annual      April 23–25, 2018 Boston, Massachusetts  | Westin Copley Place     via 
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    Artificial intelligence will be worth $1.2 trillion to the enterprise in 2018   KillerApp in  applications will be in Health care  via  & 

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     CEO, @GEHealthcareImaging  is a Transformational Technology Google DeepMind beat Chess player: Computer teach itself to play and played against itself in few hours and computer played against Computer human GE build Scanners :NVIDIA   

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    @EricMurphy@OptumInsight  – Data analytics – 5,000 Data Scientists OptumIQ – subject matter expertise,  and analytics – Services offered to clients Payer-Provider Convergence – no friction is the interest of both sides, right claim   

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    @SreeChaguturu    as a tool in workflow to bring back Trust, Humanity clinicians burnout correlated with malpractice, turnover, suicide alcohol, recognition at Partners Actionable solutions: need eliminate sources of burnout   
     : Opportunities in HC for   – we are just at the beginning, compute power in 5 years or 10 year there will not be a decision making not made using     
       Implementation  best sources of knowledge as Experts: WHAT DATA YOU CHOOSE, Who choose WATSON Oncology MDs worked on User Interface for sharing WATSON results for Patient decision making – Experience Doctor-Patient transform   
      Avoidance BIAS by   usage in supervised knowledge WHAT DAT is used is a source for bias scaling was learned Call Center Assistance using   Health Care workflow:   for false positive and negative   
    John Kelly, PhD SVP  Killer App   in Healthcare is DRUG DISCOVERY: molecule, drug target, pathways with Mayo Clinic: MATCHING Patients to Clinical Trials using   with Memorial Sloan Kettering: WATSON in Oncology for MDs consultation   
    , PhD SVP, Cognitive Solutions Research    –  in the 50s  in 90s Built first Computer to play Chess and win 2005 – WATSON – different paradigm leverage   – intrigued by the data 2010 –   is very big again    
    , MD, PhD Chief, Breast Imaging Division @MGH; Professor of Radiology  Is surgery needed?? @MGH is based on   applications to    
    , Chief, Breast Imaging Division, @MGH; Professor of Radiology, HMS Improving the Patient experience  as a friend,  are tools that Radiologist are excited to have   
     CEO, @GEHealthcareImaging  is a Transformational Technology Google DeepMind beat Chess player: Computer teach itself to play and played against itself in few hours and computer played against Computer human GE build Scanners :NVIDIA   
    @EyalGura Co-Founder and Chairman, Zebra Medical Vision 30  Products for Memograms, ultrasounds,  will help Radiology   

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    @SreeChaguturu    as a tool in workflow to bring back Trust, Humanity clinicians burnout correlated with malpractice, turnover, suicide alcohol, recognition at Partners Actionable solutions: need eliminate sources of burnout   
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     VP and CIO  Bias in   lessons from WATSON     

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    , Chief, Breast Imaging Division, @MGH; Professor of Radiology, HMS Improving the Patient experience  as a friend,  are tools that Radiologist are excited to have   

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     Co-Founder, Director   is the third revolution ID of Patient as Front end to integrated billing system integrated with scheduling – READINESS of HC System for advanced systems and interfaces all are solveable it takes time   

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    , Chief, Breast Imaging Division, @MGH; Professor of Radiology, HMS Improving the Patient experience  as a friend,  are tools that Radiologist are excited to have   
     CEO, @GEHealthcareImaging  is a Transformational Technology Google DeepMind beat Chess player: Computer teach itself to play and played against itself in few hours and computer played against Computer human GE build Scanners :NVIDIA   
    @EyalGura Co-Founder and Chairman, Zebra Medical Vision 30  Products for Memograms, ultrasounds,  will help Radiology   
    @DorinComaniciu, PhD @SiemensHealthineers  more data , better performance, optimism to apply  for diagnosis, intervention Precision, predicting Population health, outcomes Deliver systems performing per specification incidentals   
    , MD, PhD CEO,  Digital Pathology, information processing from Tissue to treatment  is a friend not a Foe  will bring value to Medicine by utilizing tools for Patients   
    , MD Chair, Department of Radiology,   Diagnostic Imaging and Medicine is challenged by   is different than other transformational technological REVOLUTIONS   
    @VasantNarasimhan  Para therapeutics FDA label, Algorithm for ADDICTION, updating algorithm, need to inform regulator, Privacy Data vs mining permission RETHINK cultural transformation Organizational   
    @VasantNarasimhan  Drug Prices App NORA application with all the Clinical Trial workflow, identify Patients by Social Media, patient meets NP, protocol starts Finding Drug Targets – deep minting of medical history to find super responders   
    @VasantNarasimhan, MD CEO,  Science 27 nurses in Clinical trial, Para Therapeutic, Google Partnership for clinical trials Real Time monitoring: Study Operation Centers for all the Clinical Trials around the World Monitor’s quality score   
    @VasantNarasimhan, MD CEO,  R&D for transformational efficacies Novartis is a Data Science 70Biliion Doses per year – efficiencies needed and a Drug developer company use  for 500 Clinical Trials around the World,   

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    @DorinComaniciu, PhD @SiemensHealthineers  more data , better performance, optimism to apply  for diagnosis, intervention Precision, predicting Population health, outcomes Deliver systems performing per specification incidentals   

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    @DorinComaniciu, PhD @SiemensHealthineers  more data , better performance, optimism to apply  for diagnosis, intervention Precision, predicting Population health, outcomes Deliver systems performing per specification incidentals   

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    @EyalGura Co-Founder and Chairman, Zebra Medical Vision 30  Products for Memograms, ultrasounds,  will help Radiology   

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    Apr 25
    @VasantNarasimhan  Gene therapy and Cell therapy Biosimilar Monoclonal antibody is been deployed in Africa Finding super responders – Novartis can be a Leader due to data available Regain Trust of Society in Big Pharma   

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    Apr 25
     CFO  How  will effect use of labor for efficiencies and cost How the market will operate by use of Data to get provider get a share in the Saving of efficiency Often the cost is not know Pace of  Providers Insurers work   
      1.  @MGH    application alert the MD and the Patient vd Device is smart enough that the DEVICE WILL INTERVENE on their own – Validation of  algorithms will define future usage of    

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      Medical devices cover equipment: BP Cuff, MRI, implantable devices are not yet amenable for ,  i.e., coronary stents, artificial joints used in the design of medical devices collect the data and learn for self modification   

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      Patient in the Center Price Transparency by Hospital to place online – WHAT cost what Efficiency: 30% is spent on ADMINISTRATION – Technology needed drive efficiencies -over-Paperwork – Advocated by  MD     
      your ability to generate code NOT THE NUMBER OF Programmers on the Team build software that if the system fails, the backup and the backup of the back up will continue to run, SOURCE CODE is the DATA   
     CEO,  workflow – changed, skills of engineers has changed, training data to write softward – how big your infrastructure is = your ability to generate code NOT THE NUMBER OF Programmers on the Team   
     CEO,  writing software Intelligent autonomous machine, augments – ROBOTICS perception of the environment – like a car reason about what it perceive – localization develop a plan for action   

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      Medical devices cover equipment: BP Cuff, MRI, implantable devices are not yet amenable for ,  i.e., coronary stents, artificial joints used in the design of medical devices collect the data and learn for self modification   

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    Synopsis Day 2: 2018 Annual World Medical Innovation Forum Artificial Intelligence April 23–25, 2018 Boston, Massachusetts  | Westin Copley Place   via 
      1.  Day 2: 2018 Annual      April 23–25, 2018 Boston, Massachusetts  | Westin Copley     via 

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    Synopsis Day 2: 2018 Annual World Medical Innovation Forum Artificial Intelligence April 23–25, 2018 Boston, Massachusetts  | Westin Copley Place   via 

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    , PhD Partner, @AndreessenHorowitz  machine can scale if they will capture the expertise of Medicine Specialties Testing: , ,  development of the process HOW to develop the Test   

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       will enable quality care by ACCESS to Care  will effect Cost of Care by improvements: diagnostics, interventions, monitoring patients PRECISION and INTERCONNECTEDNESS – what is the right way to disrupt   

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      Changes of effect on Patient care Fast transition to Recovery from surgery – pay lower cost of care using  on failure to respond to treatment in Clinical Trials Partnership with Navidia –  became impactful   

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     CEO  Continuum of Care via silos of systems  will improve unlocking data and making data mode actionable 500 data scientists work on Data Science Genomics DIagnostics Radiology, predict sepsis heart attacks by AnalyticsPOC   

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     CEO  Continuum of Care via silos of systems  will improve unlocking data and making data mode actionable 500 data scientists work on Data Science Genomics DIagnostics Radiology, predict sepsis heart attacks by AnalyticsPOC   

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    Apr 24
    , PhD CEO, @SiemensHealthineers IOT Europe is gaining ground – Novel IT SW with  28 markets in Europe — create ONE market for HealthCare purposes  will become a winner, it will take time, stars will emerge   
    , MD  @MGH Three revolutions: Biological, Digital, Care Delivered and Paid for What are the obstacles to diffuse    
      Changes of effect on Patient care Fast transition to Recovery from surgery – pay lower cost of care using  on failure to respond to treatment in Clinical Trials Partnership with Navidia –  became impactful   
       will enable quality care by ACCESS to Care  will effect Cost of Care by improvements: diagnostics, interventions, monitoring patients PRECISION and INTERCONNECTEDNESS – what is the right way to disrupt   
     CEO   application:Sleep and Respiratory – CPAP machines – DATA and algorithms feed back to Patient and to MDs about the patient  – utilization of assets – 40% savings if patient is positioned by  quality curated data   
     CEO  Continuum of Care via silos of systems  will improve unlocking data and making data mode actionable 500 data scientists work on Data Science Genomics DIagnostics Radiology, predict sepsis heart attacks by AnalyticsPOC   
    , MD, PhD CEO,   used on genomic sequences  assists Pathologist in reading slides – Better care will be delivered  to find modified genes – Cystic Fibrosis   
    , PhD CEO @SiemensHealthineers Curated data: Lab, Imaging, patient History –  will be applied on multiple sources placed in one storage area US is IT savvy IOT Europe is gaining ground – Novel IT SW with    
    , PhD CEO @SiemensHealthineers 70% of decision made in Hospital are using Siemens delivered equipment  preventive maintenance  – is new way of doing business new DATA is generated on every aspect of an established business   
    , PhD Partner @AndreessenHorowitz For Medical applications the reimbursement and other factor is a maze taking months to solve   

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    , PhD CEO @SiemensHealthineers 70% of decision made in Hospital are using Siemens delivered equipment  preventive maintenance  – is new way of doing business new DATA is generated on every aspect of an established business   

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     CEO  Continuum of Care via silos of systems  will improve unlocking data and making data mode actionable 500 data scientists work on Data Science Genomics DIagnostics Radiology, predict sepsis heart attacks by AnalyticsPOC   

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    , MD, PhD CEO,   used on genomic sequences  assists Pathologist in reading slides – Better care will be delivered  to find modified genes – Cystic Fibrosis   

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     CEO  Continuum of Care via silos of systems  will improve unlocking data and making data mode actionable 500 data scientists work on Data Science Genomics DIagnostics Radiology, predict sepsis heart attacks by AnalyticsPOC   

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    , PhD Partner, @AndreessenHorowitz  machine can scale if they will capture the expertise of Medicine Specialties Testing: , ,  development of the process HOW to develop the Test   

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    , PhD Partner, @AndreessenHorowitz  machine can scale if they will capture the expertise of Medicine Specialties Testing: , ,  development of the process HOW to develop the Test   

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    Apr 24
     VP, Venture, Innovation  Can a department in the  system adopt and only thereafter it would sell to other Health Care Systems   

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    , PhD Partner @AndreessenHorowitz For Medical applications the reimbursement and other factor is a maze taking months to solve   

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    , PhD Partner,   may be killed by  which bring voice recognition and other embedded technologies   

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    Apr 24
    , MD Managing Director, @SantéVentures Change the way MDs are trained – Decision Support development and used by MDs is a MUST   

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      your ability to generate code NOT THE NUMBER OF Programmers on the Team build software that if the system fails, the backup and the backup of the back up will continue to run, SOURCE CODE is the DATA   
     CEO,  workflow – changed, skills of engineers has changed, training data to write softward – how big your infrastructure is = your ability to generate code NOT THE NUMBER OF Programmers on the Team   
     CEO,  writing software Intelligent autonomous machine, augments – ROBOTICS perception of the environment – like a car reason about what it perceive – localization develop a plan for action   

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    , MD Executive Director, @MGH &  Center Clinical Data Science Engineering the data is 90% and 10% Algorithm design   
      1.  CEO  AI software WRITING software – teaching computers to perform task of writing software   
      2.   AI software WRITING software – teaching computers to perform task of writing software Intelligent autonomous machine, augments – ROBOTICS perception of the environment reason about what it perceive develop a plan for action   
      3.  CEO,  workflow – changed, skills of engineers has changed, training data to write softward – how big your infrastructure is = your ability to generate code NOT THE NUMBER OF Programmers on the Team   

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      Virtual version of SIRI for implementation in Hospitals  – secure trusted data technology is available application of neural nets to HC – reduction of error, language understanding heavy lifting needed   
      1.    Gather data at Partners and make it querriable, Massive data extraction, Open Source  and  to figure out what disease the Patient has – 200 hospitals are using the Open Source Sociology: MDs –  can help MDs   
      2.   Improve HC Globally make HC data interoperable and accessible using , silos data in Genomics, EHR Privacy & Security: In Europe $400 per patient vs $200 per bank customer – liability Search for Medical information   

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    @AnneKlibanski Physicians will need to learn Statistics to accept or deny data results, AI uses DATA more than other domains in Medicine   

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    Apr 23
    @NivenNarain CEO,  Drugs need come faster, lower toxicity, Patients must be engaged   

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    Apr 23
     Day 1: 2018 Annual      April 23–25, 2018 Boston, Massachusetts  | Westin Copley Place     via 

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     Day 1: 2018 Annual      April 23–25, 2018 Boston, Massachusetts  | Westin Copley Place     via 

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    Apr 23
    @MikeNohaile, PhD SVP, Strategy, Commercialization & Innovation,  Human help   – applications to Medicine is goming not yet there   

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    Apr 23
        Inraoperative Adverse Events (IAE): inadvertent injury during an operation eatimated 440,000 IAEs annually, cost of admission 41% higher in patient with IAE How to access quantitative data fro OR Computer vision and probabilistic
      1.     modeling utilizing neural networks and HMMs Detects deviations from statistically expected operative course 92% accuracy in detecting steps of laparascopic sleeve Cancer resection Benefits: Patients, Surgeons, Hospitals
      2. @AnneKlibanski Physicians will need to learn Statistics to accept or deny data results, AI uses DATA more than other domains in Medicine   

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    @NivenNarain CEO,  Drugs need come faster, lower toxicity, Patients must be engaged   
    @AnthonyRosenzweig Chief, Cardiology Division, MGH; Professor of Medicine, HMS; 2017 Forum Co-Chair “There is a Potential for Neuro Networks to insert disparities by limitations of its training by humans   

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    @NivenNarain CEO,  Drugs need come faster, lower toxicity, Patients must be engaged   

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    @AnneKlibanski Physicians will need to learn Statistics to accept or deny data results, AI uses DATA more than other domains in Medicine   

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    @AnneKlibanski Physicians will need to learn Statistics to accept or deny data results, AI uses DATA more than other domains in Medicine   
      1. @AnneKlibanski Training new physicians: Different Cohort will emerge – Medical Education will change – redesign the policies, guidelines, structure and the content Fear of  it is called the Next industrial revolution    
      2. @AnneKlibanski Country is technologically advanced, people are not getting healthier, great tech for monitoring, patient do not adhere, technology help yet not take you to Finish Line   

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    @AnneKlibanski Training new physicians: Different Cohort will emerge – Medical Education will change – redesign the policies, guidelines, structure and the content Fear of  it is called the Next industrial revolution    

  66.  Apr 23

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    Great talk 

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    @AnneKlibanski Country is technologically advanced, people are not getting healthier, great tech for monitoring, patient do not adhere, technology help yet not take you to Finish Line   

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    Apr 23
       @MichaelRosehthal BMI: Visceral fat & CVD, Higher Muscle mass Better cancer outcome and ICU Survival Neural network applied to select the SLICE of Pancreatic pf cancer patient Select the segmentation Body composition of FAT – automated analysis CT

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    Covering in     follow me on these two handles for    

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    Apr 23
       @QuanzhengLi Algorithmic PET based neural network: 16 false emphysema due to image artifacts vs Pneumothorax diagnosis – to reduce False positive Chest Xray is used in China and India. at MGH CT is used

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       , CNOC – Computational Neuroscience Outcome Center at Harvard IDH – Mutation in Brain tumor, Biomarkers status, clinical outcomes Neurosurgery, ICU phynotyping data, biometrical data, pathology, MRI report classification

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    Apr 23
       @ZiadObermeyer, VALUE PRICING advocated Screening smokers for lung cancer vs Cancer immunotherapy $160K When no tests – high risk patients NOT tested

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    Apr 22
    I cover the event in  World Forum Innovations Medicine     4/23-4/25,  Copley Boston BioMed e-Series, Aviva Lev-Ari, PhD, RN      

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    Twelve hour to start    2018 Annual World Medical Innovation Forum Artificial Intelligence April 23–25, 2018 Boston, Massachusetts  |  Westin Copley Place  via 

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    2018 Annual World Medical Innovation Forum Artificial Intelligence April 23–25, 2018 Boston, Massachusetts  |  Westin Copley Place  via 
      1.    Covering this event in  2018 Annual      April 23–25, 2018 Boston, Massachusetts  |  Westin Copley Place  via 

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    Twelve hour to start    2018 Annual World Medical Innovation Forum Artificial Intelligence April 23–25, 2018 Boston, Massachusetts  |  Westin Copley Place  via 

  79.  Apr 20

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       All my  for  and  Learning in Clinical Trials April 12th, 2018 hosted at Pfizer’s Innovation Research Lab in Cambridge, MA    via 

  82.  Apr 20

    Covering this event in REAL TIME

      

    ALL My Tweets @AVIVA1950

    4/23/2018 – 4/25/2018

 21s21 seconds ago

Synopsis Days 1,2,3: 2018 Annual World Medical Innovation Forum Artificial Intelligence April 23–25, 2018 Boston, Massachusetts  | Westin Copley Place via

  1.  Apr 25

    Novartis debuts FocalView app, a digital move into ophthalmic clinical trials

  2.  Apr 25

    Artificial intelligence will be worth $1.2 trillion to the enterprise in 2018 KillerApp in applications will be in Health care via &

  4.  Apr 25

    Day 3: 2018 Annual April 23–25, 2018 Boston, Massachusetts  | Westin Copley Place via

  5.  Apr 25

    @AnneKlibanski, MD ; 2018 Forum Co-Chair THANK YOU – SW writing SW – NAVIDIA, CEO Contest Biobank Disease Challenge Next year – Neuroscience & AI – major advances since the first Neuroscience

  6.  Apr 25

    #1 @MGH at the

  7.  Apr 25

    #2 A Picture is Worth a Thousand Words

  8.  Apr 25

    More

    #3 Can Personal Devices Improve Your Health?

  9.  Apr 25

    More

    #4 Obermeyer Risky Business: Using EHRs to predict Disease Risk

  10.  Apr 25

    #5 @MGH Cancer Immunotherapy

  11.  Apr 25

    #6 @MGH Bringing “Smart” Machines to Medicine

  12.  Apr 25

    #7 @JefferwyGolden Harnessing the Power of Digital Pathology

  13.  Apr 25

    #5 @MGH Reading the Tea Leaves of Cancer Immunotherapy

  14.  Apr 25

    #8 minimizing the Threats of Resistance and infectious associated with Antibiotic use

  15.  Apr 25

    #9 Getting back to face Time: AI Tools that reduce MDs Computer use

  16.  Apr 25

  17.  Apr 25

    #11 Next-GenRadiology @AlexandraGolby

  18.  Apr 25

    #12 @LeighHochberg Melding Mind and Machine restore mobility

    1. Aviva Lev-Ari‏ @AVIVA1950Apr 25 Apr 25
      1. Aviva Lev-Ari‏ @AVIVA195013h13 hours ago

       Apr 25

      Retweets, Likes of Tweets by @AVIVA1950 on 4/23/2018 – 4/25/2018 at 2018 Annual World Medical Innovation Forum Artificial Intelligence April 23–25, 2018 Boston, Massachusetts  | Westin  #WMIF18 @pharma_BI @AVIVA1950 https://pharmaceuticalintelligence.com/2018/04/26/retweets-likes-of-tweets-by-aviva1950-on-4-23-2018-4-25-2018-at-2018-annual-world-medical-innovation-forum-artificial-intelligence-april-23-25-2018-boston-massachusetts-westin/ … via @Pharma_BI

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       Apr 25

      Synopsis Days 1,2,3: 2018 Annual World Medical Innovation Forum Artificial Intelligence April 23–25, 2018 Boston, Massachusetts  | Westin Copley Place #WMIF18 @pharma_BI @AVIVA1950 https://pharmaceuticalintelligence.com/2018/04/26/synopsis-days-123-2018-annual-world-medical-innovation-forum-artificial-intelligence-april-23-25-2018-boston-massachusetts-westin-copley-place/ … via @Pharma_BI

      3 retweets

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       Apr 26

      17th annual Summer Symposium: Breakthrough #Cancer #Nanotechnologies: @KochInstitute, @MIT Kresge Auditorium, June 15, 2018, 9AM-4PM @AVIVA1950 https://pharmaceuticalintelligence.com/2018/04/26/17th-annual-summer-symposium-breakthrough-cancer-nanotechnologies-koch-institute-mit-kresge-auditorium-june-15-2018-9am-4pm/ … via @Pharma_BI

       

       Apr 26

      Cancer, mutations and the facts of life https://www.theguardian.com/society/2018/apr/22/cancer-mutations-and-the-facts-of-life-evolution-oncogene-robert-weinberg?CMP=share_btn_tw … @AVIVA1950 @Pharma_BI #wmif18

       

       

      1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

       

      De Rothschild raises €345M Europe-skewed life science fund http://www.fiercebiotech.com/biotech/de-rothschild-raises-eu345m-europe-skewed-life-science-fund … #WMIF18 @AVIVA1950 @pharma_BI

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      1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

       

      Novartis debuts FocalView app, a digital move into ophthalmic clinical trials #WMIF18 @AVIVA1950 @pharma_BI

       

       

      1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

       

      Artificial intelligence will be worth $1.2 trillion to the enterprise in 2018 #WMIF18 @AVIVA1950 KillerApp in #AI applications will be in Health care https://zd.net/2qRMxhU  via @ZDNet & @SecurityCharlie

      3 likes

       

      1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

      #Synopsis Day 3: 2018 Annual #World #Medical #Innovation #Forum #ArtificialIntelligence April 23–25, 2018 Boston, Massachusetts  | Westin Copley Place #WMIF18 @pharma_BI @AVIVA1950 https://pharmaceuticalintelligence.com/2018/04/25/synopsis-day-3-2018-annual-world-medical-innovation-forum-artificial-intelligence-april-23-25-2018-boston-massachusetts-westin-copley-place/ … via @Pharma_BI

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      1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

      @KeithDreyer, DO, PhD Chief Data Science Officer @PHS; Vice Chairman, Radiology @MGH; Associate Professor, Radiology @HMS Interdisciplinary Conference Adoption is challenging Journey will be long, continue to be positions with successes along the way #WMIF18 @pharma_BI @AVIVA1950

      1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

      @GreggMeyer, MD Chief Clinical Officer, PHS; Professor of Medicine @HMS; 2018 Forum Co-Chair Many insights – SW writing SW – follow thorough innovations #WMIF18 @pharma_BI @AVIVA1950

      1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

      @AnneKlibanski, MD @HMS; 2018 Forum Co-Chair THANK YOU – SW writing SW – NAVIDIA, CEO Contest Biobank Disease Challenge Next year – Neuroscience & AI – major advances since the first Neuroscience #WMIF18 @pharma_BI @AVIVA1950

       

      1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

      #1 #DistruptiveDozen @BrandonWestover @MGH @HMS #AI at the #Bedside #WMIF18 @pharma_BI @AVIVA1950

      1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

      #2 #DistruptiveDozen @HadiShafiee @BWH @HMS A Picture is Worth a Thousand Words #WMIF18 @pharma_BI @AVIVA1950

      1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

      #3 #DistruptiveDozen @OmarArnaout @HMS Can Personal Devices Improve Your Health? #WMIF18 @pharma_BI @AVIVA1950

      1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

      #4 #DistruptiveDozen @Ziad Obermeyer @HMS Risky Business: Using EHRs to predict Disease Risk #WMIF18 @pharma_BI @AVIVA1950

      1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

      #5 #DistruptiveDozen @LongLe @MGH @HMS Cancer Immunotherapy #WMIF18

      1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

      #6 #DistruptiveDozen @MarkMichalski @MGH @BWH Bringing “Smart” Machines to Medicine #WMIF18 @pharma_BI @AVIVA1950

      1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

      #7 #DistruptiveDozen @JefferwyGolden @HMS Harnessing the Power of Digital Pathology #WMIF18 @pharma_BI @AVIVA1950

      1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

      #5 #DistruptiveDozen @LongLe @MGH @HMS Reading the Tea Leaves of Cancer Immunotherapy #WMIF18 @pharma_BI @AVIVA1950

      1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

      #8 #DistruptiveDozen @EricaShenoy @HMS minimizing the Threats of #Antimicrobial Resistance and infectious associated with Antibiotic use #WMIF18 @pharma_BI @AVIVA1950

      1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

      #9 #DistruptiveDozen @AdamLandman @BrighamHealth Getting back to face Time: AI Tools that reduce MDs Computer use #WMIF18 @pharma_BI @AVIVA1950

      1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

      #10 #DistruptiveDozen DIsseminating Medical Expertise to Areas needed most @JayashreeKalpathy-Cramer @HMS #WMIF18 @pharma_BI @AVIVA1950

      1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

      #11 #DistruptiveDozen Next-GenRadiology @AlexandraGolby @HMS #WMIF18 @pharma_BI @AVIVA1950

       

      1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

      @LeighHochberg @HMS Melding Mind and Machine restore mobility #12 #DistruptiveDozen #WMIF18 @pharma_BI @AVIVA1950

       

      1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

      @DavidTing @MGPO120 offices implemented LIVE scribes, 150 virtual scribes Chart capture by #ML #AI – robotics solutions ROI – increased productivity: see More patients, Acuity is up? intangible ROI – Job satisfaction of physicians #WMIF18 @pharma_BI @AVIVA1950

       

      1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

      @DavidTing @MGPO Administration Burden causes burn-out of Clinicians Data capture for retrieval Project @MGH: multiple departments: capturing the sources of MDs burn-out: Journey of data computer voice recognition – speak to computer do work for you #WMIF18 @pharma_BI @AVIVA1950

       

      1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

      @PunitSoni CEO, @RobinAI – ex-Google #ML Doctor-Patient interaction Models Patterns of medical documentation – ontologies of content #WMIF18 @pharma_BI @AVIVA1950

       

      1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

      @DennisSchmuland @Microsoft Building blocks for academics and clinitiVIsion Search knowledgespeech #ML #AI using high definition cameras for triaging condition of the Patient used for screening reduce retinopathy treatment cost – Retina specialist #WMIF18 @pharma_BI @AVIVA1950

       

      1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

      @PeterDurlach @Nuance #AI #ML Product Dragon: move from dictation to data analytics, #AI #ML Medication reconciliation progress done Alaxia Talk to a device on the wall – Send a document to x inject intelligence workflow prioritization: #WMIF18 @pharma_BI @AVIVA1950

      1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

      @SreeChaguturu @PHS #AI #ML as a tool in workflow to bring back Trust, Humanity clinicians burnout correlated with malpractice, turnover, suicide alcohol, recognition at Partners Actionable solutions: need eliminate sources of burnout #WMIF18 @pharma_BI @AVIVA1950

      1 retweet

      1 like

      1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

      @JohnKelly @IBM: Opportunities in HC for #AI #ML – we are just at the beginning, compute power in 5 years or 10 year there will not be a decision making not made using #AI #ML #WMIF18 @pharma_BI @AVIVA1950

      1 reply

      1 retweet

      1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

      @JohnKelly #AI #ML Implementation @IBM best sources of knowledge as Experts: WHAT DATA YOU CHOOSE, Who choose WATSON Oncology MDs worked on User Interface for sharing WATSON results for Patient decision making – Experience Doctor-Patient transform #WMIF18 @pharma_BI @AVIVA1950

      1 retweet

      1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

      @JohnKelly @IBM Avoidance BIAS by #ML #AI usage in supervised knowledge WHAT DAT is used is a source for bias scaling was learned Call Center Assistance using #ML #AI Health Care workflow: #ML #AI for false positive and negative #WMIF18 @pharma_BI @AVIVA1950

      1 retweet

      1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

      John Kelly, PhD SVP @IBM Killer App #ML #AI in Healthcare is DRUG DISCOVERY: molecule, drug target, pathways with Mayo Clinic: MATCHING Patients to Clinical Trials using #ML #AI with Memorial Sloan Kettering: WATSON in Oncology for MDs consultation #WMIF18 @pharma_BI @AVIVA1950

      1 retweet

       

      1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

      @JohnKelly, PhD SVP, Cognitive Solutions Research @IBM #ML #AI – @IBM in the 50s @IBM in 90s Built first Computer to play Chess and win 2005 – WATSON – different paradigm leverage #ML #AI – intrigued by the data 2010 – #ML #AI is very big again @IBM #WMIF18 @pharma_BI @AVIVA1950

      1 retweet 

       

      1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

      @JamesNoga VP and CIO @PHS Bias in #ML #AI lessons from WATSON #ML #AI #WMIF18 @pharma_BI @AVIVA1950

      1 like

       

      1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

      @ConstanceLehman, MD, PhD Chief, Breast Imaging Division @MGH; Professor of Radiology @HMS Is surgery needed?? @MGH is based on #ML #DeepLearning applications to #BreatCancer #WMIF18 @pharma_BI @AVIVA1950

      1 retweet

      1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

      @ConstanceLehman, Chief, Breast Imaging Division, @MGH; Professor of Radiology, HMS Improving the Patient experience #AI as a friend, #AI are tools that Radiologist are excited to have #WMIF18 @pharma_BI @AVIVA1950

      2 retweets

      1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

      @KarimKarti CEO, @GEHealthcareImaging #AI is a Transformational Technology Google DeepMind beat Chess player: Computer teach itself to play and played against itself in few hours and computer played against Computer human GE build Scanners :NVIDIA #WMIF18 @pharma_BI @AVIVA1950

      2 retweets

      1 like

       

      1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

      @EyalGura Co-Founder and Chairman, Zebra Medical Vision 30 #AI Products for Memograms, ultrasounds, #AI will help Radiology #WMIF18 @pharma_BI @AVIVA1950

      2 retweets

      1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

      @DorinComaniciu, PhD @SiemensHealthineers #AI more data , better performance, optimism to apply #AI for diagnosis, intervention Precision, predicting Population health, outcomes Deliver systems performing per specification incidentals #WMIF18 @pharma_BI @AVIVA1950

      2 retweets

      1 like

      1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

      @AndrewBeck, MD, PhD CEO, @PathAI Digital Pathology, information processing from Tissue to treatment #AI is a friend not a Foe #AI will bring value to Medicine by utilizing tools for Patients #WMIF18 @pharma_BI @AVIVA1950

      1 retweet 

       

      1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

      @GilesBoland, MD Chair, Department of Radiology, @BWH @HMS Diagnostic Imaging and Medicine is challenged by #AI #AI is different than other transformational technological REVOLUTIONS #WMIF18 @pharma_BI @AVIVA1950

      1 retweet

      1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

      @VasantNarasimhan @Novartis Gene therapy and Cell therapy Biosimilar Monoclonal antibody is been deployed in Africa Finding super responders – Novartis can be a Leader due to data available Regain Trust of Society in Big Pharma #WMIF18 @pharma_BI @AVIVA1950

      1 retweet

      1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

      @VasantNarasimhan @Novartis Para therapeutics FDA label, Algorithm for ADDICTION, updating algorithm, need to inform regulator, Privacy Data vs mining permission RETHINK cultural transformation Organizational #WMIF18 @pharma_BI @AVIVA1950

      1 retweet

      Aviva Lev-Ari‏ @AVIVA1950Apr 25

      @VasantNarasimhan @Novartis Drug Prices App NORA application with all the Clinical Trial workflow, identify Patients by Social Media, patient meets NP, protocol starts Finding Drug Targets – deep minting of medical history to find super responders #WMIF18 @pharma_BI @AVIVA1950

      1 retweet

      1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

      More

      @VasantNarasimhan, MD CEO, @Novartis Science 27 nurses in Clinical trial, Para Therapeutic, Google Partnership for clinical trials Real Time monitoring: Study Operation Centers for all the Clinical Trials around the World Monitor’s quality score #WMIF18 @pharma_BI @AVIVA1950

      1 retweet

      1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

       

      @VasantNarasimhan, MD CEO, @Novartis Data Mining phyno type find new signature for drug discovery Navidia – quantum computing for drug discovery and blockchain used for rolling the clinical trials from discovery data discovery data mining #WMIF18 @pharma_BI @AVIVA1950

      1 retweet

    1. Aviva Lev-Ari‏ @AVIVA1950Apr 25
  19. @VasantNarasimhan, MD CEO, @Novartis R&D for transformational efficacies Novartis is a Data Science 70Biliion Doses per year – efficiencies needed and a Drug developer company use #AI for 500 Clinical Trials around the World, #WMIF18 @pharma_BI @AVIVA1950

    1 retweet

  20. Aviva Lev-Ari‏ @AVIVA1950Apr 25@EricMurphy@OptumInsight @Optum – Data analytics – 5,000 Data Scientists OptumIQ – subject matter expertise, #AI and analytics – Services offered to clients Payer-Provider Convergence – no friction is the interest of both sides, right claim #WMIF18 @pharma_BI @AVIVA1950

    1 retweet

1 like

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

@Patrick Conway @BCBS #NC Radiology, Pathology, Anestesiology — #AI is more effective and assist MDs – feedback of @AI is instantaneous DAt Analytics increases very fast #AI is growing COST DOWN – it is a must Partnership is replacing negotiation #WMIF18 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 25
  2. Aviva Lev-Ari‏ @AVIVA1950Apr 25

@Patrick Conway @BCBS #NC – $10Millions Deep Providers relations – share responsibility with providers GNS Partnership Data analytics, Patiennt Segmentations Customer experience for HC plans – #AI to be used to engage Patients avatar for Millennials #WMIF18 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

@PeterMarkell CFO @PHS How #AI will effect use of labor for efficiencies and cost How the market will operate by use of Data to get provider get a share in the Saving of efficiency Often the cost is not know Pace of #AI Providers Insurers work #WMIF18 @pharma_BI @AVIVA1950

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1 like

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

@SeemaVerma @CMS MedicAID aged, blind, disabled – more people placed into it – quality of care affected INNOVATION center @CMS – great leadership, Providers coordinate care, how to include the Patient discussion Providers – and values, incentives #WMIF18 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

 

@SeemaVerma Administrator, @CMS EMR – ease of use #AI @CMS – all is DATA – meaningful format collecting all information in EMR – #AI needed for data analysis Biomarkers that requires actions Value-basedefficacies ACA – Rates went up over 100% happen #WMIF18 @pharma_BI @AVIVA1950

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

@SeemaVerma Administrator, @CMS Patients – Own their data – BLUE Button – claim data from CMS available in Format organizing @CMS – Data of MedicCare and MedicAID made available Overhaul – Patient have their data to give it to researchers and to NIH #WMIF18 @pharma_BI @AVIVA1950

1 retweet

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

@SeemaVerma @CMS Patient in the Center Price Transparency by Hospital to place online – WHAT cost what Efficiency: 30% is spent on ADMINISTRATION – Technology needed drive efficiencies #Patient-over-Paperwork – Advocated by @GreggMeyer MD @PHS @HMS #WMIF18 @pharma_BI @AVIVA1950

1 retweet

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

@SeemaVerma @CMS 20% of GDP spent on Health Care taking away from Education and Defense Mission to deliver INNOVATIONS, Robotics and Precision Medicine – CMS wants patient to get access to innovation MODERNIZING: Drug Pricing, Value-Based Pricing #WMIF18 @pharma_BI @AVIVA1950

1 like

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

@PatFortune @PHS Watch – will collect data on clinical condition in a casual mode but will be used for medical decisions in treatment Opportunities for #AI in #MedicalDevices What is becoming to be available How Patients be cared for by using #AI #WMIF18 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

@PatFortune @PHS Medical devices cover equipment: BP Cuff, MRI, implantable devices are not yet amenable for #AI, #ML i.e., coronary stents, artificial joints used in the design of medical devices collect the data and learn for self modification #WMIF18 @pharma_BI @AVIVA1950

1 retweet

1 like

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

@Charles Cadieu @BayLabs Help Cardiologists in Cardiovascular using deep @MIT developed human visual system doing visual recognition for decision expert knowledge digitized for brain neurons tested by #deeplearning algorithms CVD – misditection, #WMIF18 @pharma_BI @AVIVA1950

1 retweet

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

@JonathanRothberg @ButterflyNetwork DNA Sequencing ($1Billion) moving to chips – Gemone sequence for $1000 Change imaging by putting Ultrasound machine onto ONE chip (>$200) – FDA [investment required was $100 Million in 5 years, MDs, CS, ENG.] #WMIF18 @pharma_BI @AVIVA1950

1 retweet

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

@RichardKuntz @Medtronic detect early ketoacidosis Neuromodulation, cardiac monitoring, Diabetes Artificial Pancreas – three arms clinical trial – Baysian statistic informative Priors – FDA works hard to understand and approve #WMIF18 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

@RichardKuntz, MD @Medtronic SENSING capability to modulate therapy deep stimulation for Parkinson Sensing ICD detect pre-occaring arhythymias detect hyper glicemia PRD algorithms EKG device – looks for Heart Failure, water in the lungs ketoacidosis #WMIF18 @pharma_BI @AVIVA1950

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

More

@JagmeetSingh @MGH @HMS #Electrophysiology #AI application alert the MD and the Patient vd Device is smart enough that the DEVICE WILL INTERVENE on their own – Validation of #AI algorithms will define future usage of #AI #WMIF18 @pharma_BI @AVIVA1950

1 retweet

1 like

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 25

@JagmeetSingh @MGH @HMS Disterbances detected by sensors for prediction of Heart Failure – NOT YET integrated to EMR for better care – implentable devices are not yet using #AI Non-implantable are using #AI vs implantable arrhythmia – #WMIF18 @pharma_BI @AVIVA1950

1 retweet 

 

 

  1. You Retweeted

Aviva Lev-Ari‏ @AVIVA1950 Apr 24

@AGBreitenstein Partner, @OptumVentures Finding patients early and monitor them at home #AI is very applicable for these goals Get medical information to consumer BETTER search results than Dr. Google #WMIF18 @pharma_BI @AVIVA1950

2 retweets

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Aviva Lev-Ari‏ @AVIVA1950 Apr 24

Synopsis Day 2: 2018 Annual World Medical Innovation Forum Artificial Intelligence April 23–25, 2018 Boston, Massachusetts  | Westin Copley Place #WMIF18 @pharma_BI @AVIVA1950 https://pharmaceuticalintelligence.com/2018/04/24/https-pharmaceuticalintelligence-wordpress-com-p47489previewtruesynopsis-day-2-2018-annual-world-medical-innovation-forum-artificial-intelligence-april-23-25-2018-boston-massachus/ … via @Pharma_BI

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  1. You Retweeted

Aviva Lev-Ari‏ @AVIVA1950 Apr 24

Synopsis Day 2: 2018 Annual World Medical Innovation Forum Artificial Intelligence April 23–25, 2018 Boston, Massachusetts  | Westin Copley Place #WMIF18 https://pharmaceuticalintelligence.com/2018/04/24/https-pharmaceuticalintelligence-wordpress-com-p47489previewtruesynopsis-day-2-2018-annual-world-medical-innovation-forum-artificial-intelligence-april-23-25-2018-boston-massachus/ … via @Pharma_BI

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  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

Aviva Lev-Ari Retweeted Aviva Lev-Ari

Amazing Conference

Aviva Lev-Ari added,

Aviva Lev-Ari @AVIVA1950

Synopsis Day 2: 2018 Annual World Medical Innovation Forum Artificial Intelligence April 23–25, 2018 Boston, Massachusetts  | Westin Copley Place #WMIF18 https://pharmaceuticalintelligence.com/2018/04/24/https-pharmaceuticalintelligence-wordpress-com-p47489previewtruesynopsis-day-2-2018-annual-world-medical-innovation-forum-artificial-intelligence-april-23-25-2018-boston-massachus/ … via @Pharma_BI

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

Synopsis Day 2: 2018 Annual World Medical Innovation Forum Artificial Intelligence April 23–25, 2018 Boston, Massachusetts  | Westin Copley Place #WMIF18 @pharma_BI @AVIVA1950 https://pharmaceuticalintelligence.com/2018/04/24/https-pharmaceuticalintelligence-wordpress-com-p47489previewtruesynopsis-day-2-2018-annual-world-medical-innovation-forum-artificial-intelligence-april-23-25-2018-boston-massachus/ … via @Pharma_BI

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

#Synopsis Day 2: 2018 Annual #World #Medical #Innovation #Forum #ArtificialIntelligence April 23–25, 2018 Boston, Massachusetts  | Westin Copley #WMIF18 @pharma_BI @AVIVA1950 https://pharmaceuticalintelligence.com/2018/04/24/https-pharmaceuticalintelligence-wordpress-com-p47489previewtruesynopsis-day-2-2018-annual-world-medical-innovation-forum-artificial-intelligence-april-23-25-2018-boston-massachus/ … via @Pharma_BI

1 like

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@SamuelAronson @PHS NOT ALL ALGORITHMS are #AI algorithms Hospitals are moving to face the challenge More open business models, innovate by using open data advocacy for open systems #WMIF18 @pharma_BI @AVIVA1950

1 retweet

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@SamuelAronson Executive Director, IT, Personalized Medicine @PHS Building application Open source, cheaper, share network across institutions Algo driving IT applications Algo make strands in monitoring and in detection – NOT ALL ALGORITHMS are #AI #WMIF18 @pharma_BI @AVIVA1950

1 retweet

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@NeildeCrescenzo CEO, @ChangeHealthcare Connected ecosystem DSS, Financial $2Trillion data processed Clinical DSS: Utilization Management 100,000 – $8Billion spending can be saved by #AI algotrithms #WMIF18 @pharma_BI @AVIVA1950

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@MuditGarg, MD CEO, @Qventus #ML #AI installations in US and Canada, Hospital: Flow management of Patient Pharmacy operations Anticipation of patient discharge major saving accomplished by #AI #WMIF18 @pharma_BI @AVIVA1950

1 retweet

Aviva Lev-Ari‏ @AVIVA1950Apr 24

@LisaMaki Co-Founder, Director @PokitDok #AI is the third revolution ID of Patient as Front end to integrated billing system integrated with scheduling – READINESS of HC System for advanced systems and interfaces all are solveable it takes time #WMIF18 @pharma_BI @AVIVA1950

1 retweet

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  1. Aviva Lev-Ari‏ @AVIVA1950 Apr 24

@FabienBeckers, PhD CEO @Arterys #DeepLearning asa clinical tool in Hospitals Clinical Solutions with #AI is no different than a clinical Device #WMIF18 @pharma_BI @AVIVA1950

1 retweet

Aviva Lev-Ari‏ @AVIVA1950 Apr 24

@FabienBeckers, PhD CEO @Arterys #DeepLearning asa clinical tool in Hospitals Clinical Solutions with #AI is no different than a clinical Device #WMIF18 @pharma_BI @AVIVA1950

1 retweet

Aviva Lev-Ari‏ @AVIVA1950 Apr 24

@FabienBeckers, PhD CEO @Arterys #DeepLearning asa clinical tool in Hospitals Clinical Solutions with #AI is no different than a clinical Device #WMIF18 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@FabienBeckers, PhD CEO @Arterys #DeepLearning asa clinical tool in Hospitals Clinical Solutions with #AI is no different than a clinical Device #WMIF18 @pharma_BI @AVIVA1950

1 retweet

Aviva Lev-Ari‏ @AVIVA1950Apr 24

@HilaryMalone, PhD Chief Regulatory Officer, Sanofi 1960 drugs, devices #AI Benefits: Medical Utility – Regulatory designed for drugd in 1960s for drugs of 1960s Thinking #AI for regulatory #WMIF18 @pharma_BI @AVIVA1950

1 retweet

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@ToddMcNitt @GEHealthcare #AI – The industry is in early application of #AI Well curated data sets, Ability of ALgorithm for the Application High value use cases: Validation of #AI algorithms, clinician involved in validation post market surveys #WMIF18 @pharma_BI @AVIVA1950

1 retweet

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@BakulPatel @FDA #AI: Data is everything, trained by algorithms, clinical data used for training the algorithms Communities of Common Data used and shared Post market surveillance of #AI machinery: UI: User performance, start low level of Claim.#WMIF18 @pharma_BI @AVIVA1950

1 retweet

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@BakulPatel #DigitalHealth @FDA Globally: Brazil, EC, Japan, China, creating a Paradigm manufacture, R&D, FDA System to scale to include #AI from existing expertise in Digital Health FDA thinking how Safety, Efficacy will apply #AI drugs and medical #WMIF18 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@ BakulPatel Associate Director for #DigitalHealth @FDA – Group started at FDA in 2010, MobilX – Two guidance per year. in 2018 -1500 questions posed to FDA by public developing applications in Digital Health, Vocabulary #WMIF18 @pharma_BI @AVIVA1950

1 retweet

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@BerndMontag, PhD CEO, @SiemensHealthineers IOT Europe is gaining ground – Novel IT SW with #AI 28 markets in Europe — create ONE market for HealthCare purposes #AI will become a winner, it will take time, stars will emerge #WMIF18 @pharma_BI @AVIVA1950

1 retweet

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@PeterSlavin, MD #President @MGH Three revolutions: Biological, Digital, Care Delivered and Paid for What are the obstacles to diffuse #AI #WMIF18 @pharma_BI @AVIVA1950

1 retweet

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@TerriBresenham @GEHealthcare Changes of effect on Patient care Fast transition to Recovery from surgery – pay lower cost of care using #AI on failure to respond to treatment in Clinical Trials Partnership with Navidia – #AI became impactful #WMIF18 @pharma_BI @AVIVA1950

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  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

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@TerriBresenham @GEHealthcare #AI will enable quality care by ACCESS to Care #AI will effect Cost of Care by improvements: diagnostics, interventions, monitoring patients PRECISION and INTERCONNECTEDNESS – what is the right way to disrupt #WMIF18 @pharma_BI @AVIVA1950

1 retweet

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  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@FransvanHouten CEO @Philips 40% savings if patient is positioned by using #AI quality curated Data needed for #AI Algorithms – Europe – data privacy stringent vs China little data privacy #AI advanced faster in HC US is ahead of Europe #WMIF18 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@FransvanHouten CEO @Philips #AI application:Sleep and Respiratory – CPAP machines – DATA and algorithms feed back to Patient and to MDs about the patient #AI – utilization of assets – 40% savings if patient is positioned by #AI quality curated data #WMIF18 @pharma_BI @AVIVA1950

1 retweet

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@FransvanHouten CEO @Philips Continuum of Care via silos of systems #AI will improve unlocking data and making data mode actionable 500 data scientists work on Data Science Genomics DIagnostics Radiology, predict sepsis heart attacks by AnalyticsPOC #WMIF18 @pharma_BI @AVIVA1950

3 retweets

4 likes

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@JeffreyLeiden, MD, PhD CEO, @Vertex #AI used on genomic sequences #AI assists Pathologist in reading slides – Better care will be delivered #AI to find modified genes – Cystic Fibrosis #WMIF18 @pharma_BI @AVIVA1950

1 reply

1 retweet

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  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@BerndMontag, PhD CEO @SiemensHealthineers Curated data: Lab, Imaging, patient History – #AI will be applied on multiple sources placed in one storage area US is IT savvy IOT Europe is gaining ground – Novel IT SW with #AI #WMIF18 @pharma_BI @AVIVA1950

1 retweet

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@BerndMontag, PhD CEO @SiemensHealthineers 70% of decision made in Hospital are using Siemens delivered equipment #AI preventive maintenance #AI – is new way of doing business new DATA is generated on every aspect of an established business #WMIF18 @pharma_BI @AVIVA1950

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  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

Aviva Lev-Ari Retweeted Dania Daye, MD PhD

GREAT panel moderator

Aviva Lev-Ari added,

Dania Daye, MD PhD @DaniaDaye

“The biggest challenge facing #ai in #healthcare is the need for a commitment by all to share data to facilitate tool development.” #wmif18

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@AmirNashat, PhD Partner, @PolarisPartners New data architecture, Blockchain is a data architecture storage solution, Blockchain is a buzzy word, communal dat generated – who will own the data and it can be used to harm #WMIF18 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@VijayPande, PhD Partner @AndreessenHorowitz For Medical applications the reimbursement and other factor is a maze taking months to solve #WMIF18 @pharma_BI @AVIVA1950

2 retweets

Aviva Lev-Ari‏ @AVIVA1950Apr 24

@RogerKitterman VP, Venture, Innovation @PHS Can a department in the @PHS system adopt and only thereafter it would sell to other Health Care Systems #WMIF18 @pharma_BI @AVIVA1950

1 retweet

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@VijayPande, PhD Partner, @AndreessenHorowitz #AI machine can scale if they will capture the expertise of Medicine Specialties Testing: #ColonCancer, #OvarianCancer, #BreastCancer development of the process HOW to develop the Test #WMIF18 @pharma_BI @AVIVA1950

1 retweet

5 likes

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@LeiYang, PhD Managing Director, @NorthernLightVenture Capital #LinearOptimization and #NonLinearOptimization this combination is relevant to #EMR #WMIF18 @pharma_BI @AVIVA1950

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@AmirNashat, PhD Partner, @PolarisPartners #EMR may be killed by #AI which bring voice recognition and other embedded technologies #WMIF18 @pharma_BI @AVIVA1950

1 retweet

Aviva Lev-Ari‏ @AVIVA1950Apr 24

@JoeCunningham, MD Managing Director, @SantéVentures Change the way MDs are trained – Decision Support development and used by MDs is a MUST #WMIF18 @pharma_BI @AVIVA1950

1 like

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@HeidiRehm @PHS @MGH @HMS Genomic Variation is still not understood Commitment to sharing data Three areas of Genomic Testing: #detection #functional impact of variation to develop disease #disease will be developed #WMIF18 @pharma_BI @AVIVA1950

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@SandyFarmer @Pfizer Data, technology, innovations, HIGHER ORDER SELECTED MY THE MACHINE Transcriptome data – related to disease drugability translation Different data need be collected Automated image analysis to represent data and provide context #WMIF18 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@GadGetz @MGH @BroadInstitute; Associate Professor of Pathology, HMS Whole genome was the beginning Somatic mutation: Tumor vs normal Tissue IMAGE MERGED WITH GENOMIC DAT FOR REFERRAL TO IMMUNETHERAPY benchmark data sets, improve over time #WMIF18 @pharma_BI @AVIVA1950

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@LongLe @MGH 2-3,000 variants on a patient Sequencing, PCR, Interpreting the Variants 6 Pathologists signed up – Predictability using filters 99%error validated matching sequencing 50 patient data will make a run economical in Molecular Pathology #WMIF18 @pharma_BI @AVIVA1950

1 retweet

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@GabrielOtte @Freenome – genomics in the blood Early detection of Cancer #ML and #AI #ML (pattern recognition in data): heuristic algorithms to train local genomics #AI: what are the cancer signatures (KRAS) of relevance, generate novel hypothesis, #WMIF18 @pharma_BI @AVIVA1950

1 retweet

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@SusanTousi @Illumina, 45% of the Non-Coding DNA – model to predict mutation and gene sequences- 10,000 bases – comparison of algorithms Rich data sets in a federated data model genes not associated with the disease Data need to have true sets #WMIF18 @pharma_BI @AVIVA1950

1 retweet

Aviva Lev-Ari‏ @AVIVA1950Apr 24

@SusanTousi @Illumina, Inc. #ML #AI – sequencing platform, improvement in data quality Interpretation: Not all the promise of Genomics “unknown significance” data on Human to add Primate data into the model “Largely begnign” “Largely Pathogenic” #WMIF18 @pharma_BI @AVIVA1950

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@JensenHuang @NVIDIA #AI the Future , automation of automation, Future be mindful access to our computers to everyone Democracy to prevail when technology is adding life and protect Democracy Enhance and be augmented by #AI to make MDs SUPER MDs #WMIF18 @pharma_BI @AVIVA1950

1 retweet

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@JensenHuang @NVIDIA your ability to generate code NOT THE NUMBER OF Programmers on the Team build software that if the system fails, the backup and the backup of the back up will continue to run, SOURCE CODE is the DATA #WMIF18 @pharma_BI @AVIVA1950

1 retweet

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@JensenHuang CEO, @NVIDIA writing software Intelligent autonomous machine, augments – ROBOTICS perception of the environment – like a car reason about what it perceive – localization develop a plan for action #WMIF18 @pharma_BI @AVIVA1950

2 retweets

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@JensenHuang CEO, @NVIDIA workflow – changed, skills of engineers has changed, training data to write softward – how big your infrastructure is = your ability to generate code NOT THE NUMBER OF Programmers on the Team #WMIF18 @pharma_BI @AVIVA1950

1 like

2 Retweet

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@JensenHuang @NVIDIA AI software WRITING software – teaching computers to perform task of writing software Intelligent autonomous machine, augments – ROBOTICS perception of the environment reason about what it perceive develop a plan for action #WMIF18 @pharma_BI @AVIVA1950

1 retweet

1 like

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@JensenHuang CEO @NVIDIA AI software WRITING software – teaching computers to perform task of writing software #WMIF18 @pharma_BI @AVIVA1950

1 retweet

1 like

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@MarkMichalski, MD Executive Director, @MGH & @BWH Center Clinical Data Science Engineering the data is 90% and 10% Algorithm design #WMIF18 @pharma_BI @AVIVA1950

1 like

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@IainBuchan, MD Director of Healthcare Research, Microsoft Research Value circle on Patients Health system, the Hospital and Health Care Workers digital informed consent – is powerful Problem Framing for utility of information #WMIF18 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@PatriciaFlorissi VP and Global CTO, Sales, Dell EMC Making Federated Analytics, intermediate results are shared, conserve bandwidth, storage and processing capacity follows Moore’s Law Data governance issues #WMIF18 @pharma_BI @AVIVA1950

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@JamesMault @Qualcomm Life, Medical in IOT in real time from Hospital to Home Connected care #AI in OR monitoring – reduction of One day stay in each Hospital in the US is saving of $2Billion Chart review: Medical Record, Billing since 2009 – EMR #WMIF18 @pharma_BI @AVIVA1950

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@GregMoore @GoogleCloud Improve HC Globally make HC data interoperable and accessible using #AI, silos data in Genomics, EHR Privacy & Security: In Europe $400 per patient vs $200 per bank customer – liability Search for Medical information #WMIF18 @pharma_BI @AVIVA1950

1 like

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@ShawnMurphy @PHS @HMS Gather data at Partners and make it querriable, Massive data extraction, Open Source #ML and #AI to figure out what disease the Patient has – 200 hospitals are using the Open Source Sociology: MDs – #AI can help MDs #WMIF18 @pharma_BI @AVIVA1950

1 like

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

More

@TimothyTuttle @Cisco Virtual version of SIRI for implementation in Hospitals #AI – secure trusted data technology is available application of neural nets to HC – reduction of error, language understanding heavy lifting needed #WMIF18 @pharma_BI @AVIVA1950

2 likes

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@AtulGawande Boston is the Silicon Valley for Medicine and Biotech – Consorsium of Startups and Hospital Research enabling innovation to be commercionalized – is Bullish on #AI implementations in Medicine, “More money is needed” #WMIF18 @pharma_BI @AVIVA1950

1 retweet

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@ElizabethNabel, MD President, @BrighamHealth @HMS said: @MGH @BWH opened TWO BRANDED hospitals in China – Academic medical centers as consultants @AtulGawande responded on #AI Challenges for these 2 hospitals #WMIF18 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@AtulGawande @AriadneLabs @HMS @BWH Upstream investment: #ML is advances in deployment by Bill and Melinda Gates Foundation – identify challenges Downstream investment: structuring systems #ML is far away #WMIF18 @pharma_BI @AVIVA1950

1 retweet

Aviva Lev-Ari‏ @AVIVA1950Apr 24

@AtulGawande @AriadneLabs @HMS @BWH Ready Environment: Capable and motivated – 60% of Hospital were not READY for rollup Predictors of Readiness before an innovation can be taken ON #WMIF18 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@AtulGawande @AriadneLabs @HMS @BWH FDA approved #AI: monitoring Anesthesia for endoscopy, retinopathy scan by PCP to be referred directly to Retina specialist not to Ophthalmologist 1947 @MGH anesthesia adopted immediately #WMIF18 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@AtulGawande @AriadneLabs @HMS @BWH Innovations are not self executing, #AI as well #AI applied in prediction of life risks Using #AI post surgery as monitor of recovery based on smartphone #checklist on the wall in rural clinics vs #AI at Hospital #WMIF18 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@JohnFish CEO @Suffolk @BrighamHealth Dr. Gawande in Medicine: Teacher, Researcher, Author, Surgeon, impact on Healthcare Reform Visionary: making surgery safer, healthcare cover for all, advocator for lower cost of care delivery “Be Mortal” Caring #WMIF18 @pharma_BI @AVIVA1950

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@JayBradner, MD President, @Novartis Humbled by the challenge of the diseases: Challenges – data science and biomedical research, solution, qualtification, elemental level #WMIF18 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@MarkMurcko @RelayTherapeutics AI and Insights are connected, no magic new data and its curation Structural biology using biophysical technique and simulation to understand motion, experimental data – interplay with the computational aspects #WMIF18 @pharma_BI @AVIVA1950

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@LeeLehmanBecker Director of Digital and Personalized Health Care Partnering, Roche Retrospective studies Partnership with True experts and Technologies in #ML Structuring data, Patients becoming aware of their data ownership #WMIF18 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@JayBradner @Novartis Advances by computer applications with downstream applications in Biotech Moleculae recognition, chemical classes – lead optimization in drug discovery AI as catalyst to expeditiously length of experiment to shorten due to #AI #WMIF18 @pharma_BI @AVIVA1950

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@EricPerakslis @Datavant – Using Data to solve Medical Problems FDA regulate 24 cents of the dollar in the US DNA and Microbiome – data linking by AI is needed Large problem – TB – studied by NGO Rare diseases CRO works on Parkinson or AD CL #WMIF18 @pharma_BI @AVIVA1950

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@GeorgiaPapathomas @JandJ WHO is qualified to do the analysis Data Scientists: MD or Biologist with CS degrees with experience in Healthcare Tech and Science – governance of the data Change management to come from Scientists who sees the hypothesis #WMIF18 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@GeorgiaPapathomas @JandJ Insight driven company at J&J skills of the Data Scientists assessing Clinical Operations Data and 650 Million Patient clinical data used to assess biomarkets for onset of disease and progression of disease AI Big Pharma #WMIF18 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@RoyBeveridge, MD SVP and CMO, @Humana, Oncologist.CMS data is been looked by many Agents for Analysis results will be interesting MDs must be successful in two systems: Fee for Service AND Value-based – transition to 100% Value-based pricing #WMIF18 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@PeterOrszag In the near future the payment will be derived directly from the #EMR #Quality of HC will be better than today because of DATA functions in systems operations and their control #WMIF18 @pharma_BI @AVIVA1950

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@PeterOrszag #Substitution vs #Complementarity #productivity enhancement Massive variation of unwanted scans #AI will thrive in a #ValuebasedPayment World, AI will be developed payment will be derived directly from the EMR #WMIF18 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@RoyBeveridge @Humana Providers ask the Payer for data to serve vey well the PATIENTS MD believed the increased quality must increase quality with AI is powerful to move the payment system to increase quality and to LOWER the cost of care delivery #WMIF18 @pharma_BI @AVIVA1950

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@LeonardDAvolio, CEO @Cyft, AI is 10% 90% is understanding and design the analysis is a small part free Databases AI is a Hammer it can’t build the House on its own #WMIF18 @pharma_BI @AVIVA1950

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@RoyBeveridge @Humana Diabetes as single diagnosis vs Diabetes and Behavioral Health, 2nd group care is 4 times more expensive [Food insecurity may be related to Transportation and medical in-adherence #WMIF18 @pharma_BI @AVIVA1950

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@RoyBeveridge @Humana Payment methodology changes behavior. AI will be helpful. Health where AI is very important – identify people who will become sick 85% of Humana is value-based care, improve health of Pop as a whole less Cost of care delivery. #WMIF18 @pharma_BI @AVIVA1950

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@LeonardDAvolio @Cyft, Inc. focus on Government sponsored Health Programs, only, using data to improve decision, True value-based pricing. Volume and Complexity vs Value and Outcome Solutions are a service bought by Clients, they do not buy just AI #WMIF18 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@PeterOrszag @LazardFreres INCENTIVES to Hospital to avoid re-admissions, lower re-admission is associated with higher mortality #WMIF18 @pharma_BI @AVIVA1950

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 24

@PeterOrszag @LazardFreres Role of #AI and #Cost of #HealthCare: AI is necessary but is not sufficient 1/2028 – 14/2018, MediCare cost increased 1.8% while Risk of Re-admission to Hospitals was better estimated, INCENTIVES #WMIF18 @pharma_BI @AVIVA1950

  1. You Retweeted

Cecilia Zenteno‏ @cecizntno Apr 23

“Owning your data as a patient is not very meaningful if the only way of getting it is by sending a letter and getting a fax or by having to show up in an office.” Noga Leviner, CEO, @PicnicHealth #WMIF18

1 reply

2 retweets

4 likes

 

  1. You Retweeted

Maulik Majmudar, MD‏ @mdmajmudar Apr 23

Happy to share our work on SmartRx – a NLP-based software platform that enables the Learning Health System at Partners World Medical Innovation Forum earlier today #WMIF18 Here’s a link to my talk… https://youtu.be/uSmN1V3Iyks  @HeartBobH @texhern @califf001 @hmkyale @EricTopol

8 retweets

48 likes

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

#Synopsis Day 1: 2018 Annual #World #Medical #Innovation #Forum #ArtificialIntelligence April 23–25, 2018 Boston, Massachusetts  | Westin Copley Place #WMIF18 @pharma_BI @AVIVA1950 https://pharmaceuticalintelligence.com/2018/04/23/synopsis-day-1-2018-annual-world-medical-innovation-forum-artificial-intelligence-april-23-25-2018-boston-massachusetts-westin-copley-place/ … via @Pharma_BI

1 retweet

1 like

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

@RameshDurvasula, @EliLilly AXIOM is GSK leading a common model building dat from multiple Pharmas Model more like in Experiments #WMIF18 @pharma_BI @AVIVA1950

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

@StephenWiviott, MD #Virtual #Trials: will that happened what will be the cost EMR can be used for Clinical Trials, randomization is the gold standard and done in silicon will not replace #Randomization #WMIF18 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

@JosephScheeren @Bayer FDA has 77 Million patient data for Safety related studies PMDA is Japan’s FDA – have 100% data standardized for clinical Trials. Regulators do not understand how data is transferred over most advanced computer chips #WMIF18 @pharma_BI @AVIVA1950

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

Amy Abernethy, MD, PhD Oncology, @FlatironHealth Linking Patient Data with Genomics data is in Oncology available not in other indications Recruit an arm for a clinical trial, the control arm is selected from already collected data for other studies #WMIF18 @pharma_BI @AVIVA1950

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

@RameshDurvasula, PhD VP, Research IT, @EliLilly State Health Systems have multiple Data sets Repurpose Data is very important – Not done #WMIF18 @pharma_BI @AVIVA1950

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

Moderator: @O’NeilBritton, MD SVP and CMO, @MGH INCREMENTALISM – Medicine will love that #WMIF18 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

@SethHain Director, Analytics & Machine Learning, @Epic Mission Application development Synthesis of Data, i.e., Voice detection for Clinicians, CONTEXT need be captured in the workflow #ML used #WMIF18 @pharma_BI @AVIVA1950

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

@SudhirKulkarni President, @DigitalPersistentSystems Building a platform using #AI as a unifying factor for the platform The purpose of #AI is to make life of MDs, NPs easier #WMIF18 @pharma_BI @AVIVA1950

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

@NogaLeviner CEO, @PicnicHealth Data collection will increasing AI will play major role – will AI help will become an anachronistic term “Patients will be horrified if they would to know all the data about them recorded” #WMIF18 @pharma_BI @AVIVA1950

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

@AndrewHopkins CEO @Exscientia #AI – Reengineer Processes of Drug Discovery China and #AI as a National Strategy 50% investment in developing new algorithms #WMIF18 @pharma_BI @AVIVA1950

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

@NivenNarain CEO, @BERG Drugs need come faster, lower toxicity, Patients must be engaged #WMIF18 @pharma_BI @AVIVA1950

1 retweet

2 likes

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

@MikeNohaile SVP, Strategy, Commercialization & Innovation, Amgen Human help #DeepLearning #NLP – applications to Medicine is coming not yet there Fusion of Pharma experience is needed for Novice #AI companies re-inventing drug discovery targeting #WMIF18 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

@NivenNarain CEO, @BERG How long a treatment lat may make the MOST difference in disease stage #WMIF18 @pharma_BI @AVIVA1950

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

Moderator: @AnthonyPhilippakis @Chief Data Officer, @BroadInstitute; Cardiologist, @BWH; Venture Partner, @GoogleVentures Tech and BioTech vs Big Pharma — WHO will lead the way? #WMIF18 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

@NivenNarain CEO, @BERG We need a common language in #AI not to confuse all players using AI in Medicine #WMIF18 @pharma_BI @AVIVA1950

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

@SekarKathiresan, MD Director @MGH Research Scholar; Associate Professor of Medicine, HMS In CVD – New targets are under discovery using #AI Genotype and Phyno type correlations – give insights in research, same role will #AI play to ID DRIVERS #WMIF18 @pharma_BI @AVIVA1950

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

@AndrewHopkins Clinical Hypothesis developed on increase HDL as a result of combination of #ML, Repurpose drug is using #AI is getting better – FEW molecules with one year turn around Challenge od #AI – Reengineer Processes of Drug Discovery #WMIF18 @pharma_BI @AVIVA1950

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

@ThomasLynch, @BMS #AI Lack of productivity in development of drug, #AI can accelerate drug development from discovery, Pharma is ready to accelerate this process #WMIF18 @pharma_BI @AVIVA1950

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

@MikeNohaile, PhD SVP, Strategy, Commercialization & Innovation, @Amgen Human help #DeepLearning #NLP – applications to Medicine is goming not yet there #WMIF18 @pharma_BI @AVIVA1950

2 likes

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

@AnneKlibanski Physicians will need to learn Statistics to accept or deny data results, AI uses DATA more than other domains in Medicine #WMIF18 @pharma_BI @AVIVA1950

1 retweet

4 likes

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

@AnthonyRosenzweig Chief, Cardiology Division, MGH; Professor of Medicine, HMS; 2017 Forum Co-Chair “There is a Potential for Neuro Networks to insert disparities by limitations of its training by humans #WMIF18 @pharma_BI @AVIVA1950

1 retweet

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

@AnneKlibanski Training new physicians: Different Cohort will emerge – Medical Education will change – redesign the policies, guidelines, structure and the content Fear of #AI it is called the Next industrial revolution #Genomics #WMIF18 @pharma_BI @AVIVA1950

2 likes

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

@GreggMeyer,2018 Forum Co-Chair Medicine will change #AI will make the change happen #WMIF18 @pharma_BI @AVIVA1950

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

@Calum MacRae @BWH; Associate Professor of Medicine, HMS; 2017 Forum Co-Chair Early solution are here, infrastructure needed for mature solutions Vested interests may slow #AI, re-engineering the HC systems will be first applications #WMIF18 @pharma_BI @AVIVA1950

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

#WMIF18 @pharma_BI @AVIVA1950

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

@AnneKlibanski Country is technologically advanced, people are not getting healthier, great tech for monitoring, patient do not adhere, technology help yet not take you to Finish Line #WMIF18 @pharma_BI @AVIVA1950

1 retweet

1 like

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

@CalumMacRae 2017 Forum Co-Chair Early solution are here, infrastructure needed for mature solution #WMIF18 @pharma_BI @AVIVA1950

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

@AnneKlibanski 2018 Forum Co-Chair ML is used interchangeably with AI – they are not the same!! Population genotypes require integration with other segments and disciplines #WMIF18 @pharma_BI @AVIVA1950

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

@CharlieBaker Rockstars Conference Turns and changes, complexities in Health Care and new therapies get bigger these changes where stacks are that high, #AI can help in research, discovery, How physicians use the tools, #AI is hard to predict HOW? #WMIF18 @pharma_BI @AVIVA1950

 

  1. You Retweeted

Steven Yule‏ @NOTSS_lab Apr 23

Machine learning can help predict which patients need emergent tests and improve quality and cost of care – awesome stuff by @oziadias at World Medical Innovation Forum #WMIF18

STRATUS and Roger Daglius Dias

10 Retweeted

19 likes

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

Aviva Lev-Ari Retweeted Dhwani Shah Tank

Great talk

Aviva Lev-Ari added,

Dhwani Shah Tank @dshahdds

Always wondered what it’s like to go to a sleep lab! Thank you #AI and Minutuarized Wireless chip for allowing me to do this at home. #WMIF18 @MGH_RI @harvardmed

1 reply

1 like

  1. You Retweeted

Aviva Lev-Ari‏ @AVIVA1950 Apr 23

#WMIF18 @pharma_BI @AVIVA1950 @MichaelRosehthal BMI: Visceral fat & CVD, Higher Muscle mass Better cancer outcome and ICU Survival Neural network applied to select the SLICE of Pancreatic pf cancer patient Select the segmentation Body composition of FAT – automated analysis CT

1 retweet

1 like

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

@SabineWilhelm presented an amazing product in development: Mental Health Treatment: Barriers and Solutions MGH developed a smartphone cognitive behavior Y=treatment (CBT) application for body with Telefonica Alpha for Disformic Disorder #WMIF18 @pharma_BI @AVIVA1950

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

#WMIF18 @pharma_BI @AVIVA1950 @MaulikMajmudar Easyto-use Filters, query results – annotated and save query for future use Auto-immune hemolytic anemia: Steroid, glucosteroids (prednisone) Heart FailureQuality of Care: Improve outcome by therapeutic appropriateness

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

#WMIF18 @pharma_BI @AVIVA1950 @MaulikMajmudar We do not leverage past experiences to inform future, quality gap, 17 years gap fro discovery to practivce Aggregate patient data SmartRx System architecture – Customizable, realtime semi-automated querying using NLP Custom queries

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

#WMIF18 @pharma_BI @AVIVA1950 @AndreyFedorov @BWH Apply #AI to train data sets – Impression written by MDs are hard to be translated for #AI algorithms Standardization of data – STANDARDS to store data Contributions: Interoperability of data open source development: Generic data

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

#WMIF18 @pharma_BI @AVIVA1950 @EricaShenoy #Infectious #disease: #Diagnosis vs #Prevention of #Infections by isolation C-diff hospital acquired – $30K treat one case, $5Billion/year Exposure – Increase risk: Traditional RIsk: Prediction vs ML Approcah Prediction for Prevention

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

#WMIF18 @pharma_BI @AVIVA1950 @WilliamLane @MGH Whole Genome Sequencing (WGS) Blood Typing [BloodTyper] 300 WGS 99.9% concordant Types: decrease Cost: WG ($$$) –>> Whole Exome ($$)–>>Antigen Genes ($)–>> Specific Antigen (<$)

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

#WMIF18 @pharma_BI @AVIVA1950 @BrandonWestover Sleep Staging: Algorithm concensus on apnea detection – Algorithm is better than human Brain Age Algorithm Overnight EEG ->> Brain Age = Brain Health: Patients without Disease vs Diabetes & CVD Patient – with disease 4 years “older”

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

More

#WMIF18 @pharma_BI @AVIVA1950 @GreorgGerber Inference Engine to make prediction for design of Therapeutics C-diff infection – Developed a Diagnostics and a Therapeutics – Patented, License IP for Animal and Human studies – reich microbes and use the best therapeutics optimization

1 like

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

#WMIF18 @pharma_BI @AVIVA1950 @GreorgGerber Microbiome therapeutics and diagnostics – $4Billion in 2024 – Market size Pharmacology meets ecology Meta genome: ML methods used for ecology interactions: Predict MDSINE – Baysian (predict uncertainty) ML Microbial Dynamical Systems

1 like

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

#WMIF18 @pharma_BI @AVIVA1950 @ThomasMcCoy Computational Testing: Genetic Code used to per Patients Specific Score RISK: Bleeding, Medical Clinical Fall, Delirium Population management, Decision Support, Learning Health Systems

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

#WMIF18 @pharma_BI @AVIVA1950 @ThomasMcCoy Computational Pharmacology in Psychiatry: One trial, agent, indication Off-target burden: Drug Burden Score RISK: Bleeding, Medical Clinical Fall, Delirium [comfusion] Drug burdens – Many drugs: Bleeding First Partnership: Testing

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

#WMIF18 @pharma_BI @AVIVA1950 @RaulSanJoseEstepar exploit information in CT and CXR to define patient risk in HC systems (Hospitals) Diagnosis COPD and predict hospitalization from CT and CXR

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

#WMIF18 @pharma_BI @AVIVA1950 @RaulSanJoseEstepar Image HC Analytics: EHR, PACS, Billing – undiagnosed comorbidities and unidentified risk COPD – smoking is primary – $32Billion COST of treatment Chest Imaging – Lungs, Heart – Chest CT Scan – leverage information

 

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#WMIF18 @pharma_BI @AVIVA1950 @SabineWilhelm with Clinician access for suicide prevention during depression Applications Average body image disturbance scores at pre, mid and post treatment: BDD – severe body image disterbence 35 is the highest in 12 weeks the score is 20

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

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#WMIF18 @pharma_BI @AVIVA1950 @SabineWilhelm Mental Health Treatment: Barriers and Solutions MGH developed a smartphone cognitive behavior Y=treatment (CBT) application for body with Telefonica Alpha for Disformic Disorder Core component of CBT – to develop adaptive behavior

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

 

#WMIF18 @pharma_BI @AVIVA1950 @MichaelRosehthal CT scanner to the Report: Low cost, high volume broad impact, Potential Applications: CVS – Method to analize risk vs stress test Cancer risk screening Improve drug dosing for high-cost treatment Guidance for dietary and fitness

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

#WMIF18 @pharma_BI @AVIVA1950 @JasonBaron Computational Pathology: MIT – colleagues Time series analysis immunologic data Platforms to implement algorithms and validate impact on cost of care AI based and Rule-based experience , Clinical DSS

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

#WMIF18 @pharma_BI @AVIVA1950 @OmarArnaout, CNOC – Computational Neuroscience Outcome Center at Harvard IDH – Mutation in Brain tumor, Biomarkers status, clinical outcomes Neurosurgery, ICU phynotyping data, biometrical data, pathology, MRI report classification

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  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

#WMIF18 @pharma_BI @AVIVA1950 @DanielHashimoto modeling utilizing neural networks and HMMs Detects deviations from statistically expected operative course 92% accuracy in detecting steps of laparascopic sleeve Cancer resection Benefits: Patients, Surgeons, Hospitals

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  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

#WMIF18 @pharma_BI @AVIVA1950 @DanielHashimoto Inraoperative Adverse Events (IAE): inadvertent injury during an operation eatimated 440,000 IAEs annually, cost of admission 41% higher in patient with IAE How to access quantitative data fro OR Computer vision and probabilistic

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  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

#WMIF18 @pharma_BI @AVIVA1950 @HadiShafiee In-Vitro fertilization – effective is very low less 30% Solution: Automated, AI-empowered, low-cost optical system Free access charge Pay per cycle Results: Implantation rate, pregnancy outcome blastocyst prediction

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

#WMIF18 @pharma_BI @AVIVA1950 @QuanzhengLi Algorithmic PET based neural network: 16 false emphysema due to image artifacts vs Pneumothorax diagnosis – to reduce False positive Chest Xray is used in China and India. at MGH CT is used

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  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

#WMIF18 @pharma_BI @AVIVA1950 @ZiadObermeyer, VALUE PRICING advocated Screening smokers for lung cancer vs Cancer immunotherapy $160K When no tests – high risk patients NOT tested

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

#WMIF18 @pharma_BI @AVIVA1950 @ZiadObermeyer #ER – Test for Heart attack, Chest Pain, we test too much 100K of tests in ER $765Billion is waste Analysis of Medicare Data ML prediction who will benefit from which test in ER test that will pay off Average cost ER $120K life-year

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

#WMIF18 @pharma_BI @AVIVA1950 @DavidCraft The #radiationplanning problem Localization #OptimizationAnalysis for #Tumor analysis and #Radiation #Plan development What drug to give to what patient #Drug #sensitivity #prediction is HARD because of #diversity #cancers #P53mutations

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

#WMIF18 @pharma_BI @AVIVA1950 @NathalieAgar #Cancer #Surgery: first line for most patients with #solid #tumors, potentially #curative

 

  1. Aviva Lev-Ari‏ @AVIVA1950Apr 23

#WMIF18 @pharma_BI @AVIVA1950 @KasperLage UnKnown #cancer #pathways guide protectable insights: Outlook: #Cell-type-specific #socialnetworks #neurological, #metabolic, #CVD & #Cancer

 

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Covering in #RealTime #WMIF18 @pharma_BI @AVIVA1950 follow me on these two handles for #AI #Medicine http://pharmaceuticalintelligence.com  https://pharmaceuticalintelligence.com/2017/06/20/e-scientific-publishing-the-competitive-advantage-of-a-powerhouse-for-curation-of-scientific-findings-and-methodology-development-for-e-scientific-publishing-lpbi-group-a-case-in-point/ …

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  1. Aviva Lev-Ari‏ @AVIVA1950Apr 22

I cover the event in #RealTime World Forum Innovations Medicine #AI #NeuroNets #ML #WFIM18 4/23-4/25, #Westin Copley Boston BioMed e-Series, Aviva Lev-Ari, PhD, RN #Cardiovascular #Genomics #Cancer #Immunology #Precision #Medicine

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  1. Aviva Lev-Ari‏ @AVIVA1950Apr 22

Twelve hour to start #WMIF18 @pharma_BI @AVIVA1950 2018 Annual World Medical Innovation Forum Artificial Intelligence April 23–25, 2018 Boston, Massachusetts  |  Westin Copley Place https://pharmaceuticalintelligence.com/2018/01/18/2018-annual-world-medical-innovation-forum-artificial-intelligence-april-23-25-2018-boston-massachusetts-westin-copley-place/ … via @Pharma_BI

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  1. Aviva Lev-Ari‏ @AVIVA1950Apr 22

2018 Annual World Medical Innovation Forum Artificial Intelligence April 23–25, 2018 Boston, Massachusetts  |  Westin Copley Place https://pharmaceuticalintelligence.com/2018/01/18/2018-annual-world-medical-innovation-forum-artificial-intelligence-april-23-25-2018-boston-massachusetts-westin-copley-place/ … via @Pharma_BI

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    Covering in follow me on these two handles for

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    I cover the event in World Forum Innovations Medicine 4/23-4/25, Copley Boston BioMed e-Series, Aviva Lev-Ari, PhD, RN

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    Twelve hour to start 2018 Annual World Medical Innovation Forum Artificial Intelligence April 23–25, 2018 Boston, Massachusetts  |  Westin Copley Place via

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Synopsis Days 1,2,3: 2018 Annual World Medical Innovation Forum Artificial Intelligence April 23–25, 2018 Boston, Massachusetts  | Westin Copley Place

Posted in Artificial Intelligence - Breakthroughs in Theories and Technologies, Big Data, Conference Coverage with Social Media, Intelligent Information Systems on April 26, 2018| Leave a Comment »

Synopsis Days 1,2,3: 2018 Annual World Medical Innovation Forum Artificial Intelligence April 23–25, 2018 Boston, Massachusetts  | Westin Copley Place

Curator: Aviva Lev-Ari, PhD, RN

3.1.6

3.1.6   Synopsis Days 1,2,3: 2018 Annual World Medical Innovation Forum Artificial Intelligence April 23–25, 2018 Boston, Massachusetts  | Westin Copley Place, Volume 2 (Volume Two: Latest in Genomics Methodologies for Therapeutics: Gene Editing, NGS and BioInformatics, Simulations and the Genome Ontology), Part 2: CRISPR for Gene Editing and DNA Repair

 

Synopsis Day 1: 2018 Annual World Medical Innovation Forum Artificial Intelligence April 23–25, 2018 Boston, Massachusetts  | Westin Copley Place

https://pharmaceuticalintelligence.com/2018/04/23/synopsis-day-1-2018-annual-world-medical-innovation-forum-artificial-intelligence-april-23-25-2018-boston-massachusetts-westin-copley-place/

Synopsis Day 2: 2018 Annual World Medical Innovation Forum Artificial Intelligence April 23–25, 2018 Boston, Massachusetts  | Westin Copley Place

https://pharmaceuticalintelligence.com/2018/04/24/https-pharmaceuticalintelligence-wordpress-com-p47489previewtruesynopsis-day-2-2018-annual-world-medical-innovation-forum-artificial-intelligence-april-23-25-2018-boston-massachus/

Synopsis Day 3: 2018 Annual World Medical Innovation Forum Artificial Intelligence April 23–25, 2018 Boston, Massachusetts  | Westin Copley Place

https://pharmaceuticalintelligence.com/2018/04/25/synopsis-day-3-2018-annual-world-medical-innovation-forum-artificial-intelligence-april-23-25-2018-boston-massachusetts-westin-copley-place/

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Synopsis Day 3: 2018 Annual World Medical Innovation Forum Artificial Intelligence April 23–25, 2018 Boston, Massachusetts  | Westin Copley Place

Posted in Artificial Intelligence - General, Conference Coverage with Social Media on April 25, 2018| Leave a Comment »

Synopsis Day 3: 2018 Annual World Medical Innovation Forum Artificial Intelligence April 23–25, 2018 Boston, Massachusetts  | Westin Copley Place

Reporter: Aviva Lev-Ari, PhD, RN

 

https://worldmedicalinnovation.org/

Announcement

Aviva Lev-Ari, PhD, RN,

Founder and Director of LPBI Group will be in attendance covering the event in REAL TIME

@pharma_BI

@AVIVA1950

 

All TWEETS from LPBI’s Twitter.com handles at

#WMIF18

@pharma_BI

@AVIVA1950

Wednesday, April 25, 2018

7:00 am – 7:30 am
Nuance Foyer
Continental Breakfast
7:30 am – 8:20 am
NVIDIA Ballroom
Reconceiving Medical Devices in an AI Dominated Environment

Medical device companies are focused on developing smaller, faster and smarter devices. New technologies will enhance the function of medical devices throughout patient care. Leveraging AI technology to more effectively interact with patients and inform / facilitate outcomes enables smart devices that can learn and improve performance over time. The nature of AI panel based devices, the challenges inherent in developing them and how such devices can evolve over the next 5 years and beyond will be examined.

Moderator: Pat Fortune, PhD
  • VP, Market Sectors, Innovation, PHS
  • Medical devices cover equipment: BP Cuff, MRI, implantable devices are not yet amenable for #AI, #ML
  • i.e., coronary stents, artificial joints
  • #AI, #ML are used in the design of medical devices
  • class of devices that will both collect the data and learn for self modification of the design itself
  • Prostetics for amputation: will be capable of learning from the movement they are designed by #AI, #ML
  • Watch – will collect data on clinical condition in a casual mode but will be used for medical decisions in therapy/treatment
  • Opportunities for #AI in #MedicalDevices
  • What is becoming to be available
  • How Patients will be cared for by using #AI
Charles Cadieu, PhD
  • CEO, Bay Labs
  • Help Cardiologists in Cardiovascular using deep
  • @MIT developed human visual system doing visual recognition for decision expert knowledge digitized for brain neurons tested by #deeplearning algorithms
  • CVD – misditection, interventions tied to monitoring results
  • Sonography combined with CVD expertise in Echo-cardiography – high quality imagery
  • Devices and #AI: where the needs are?
  • Democratization that AI allows – took 50 years
Jonathan Rothberg, PhD
  • Founder and CEO, Butterfly Network
  • DNA Sequencing ($1Billion) moving to Devices, chips – Gemone sequence for $1000
  • Change imaging by putting Ultrasound imaging machine onto ONE chip (>$200) – FDA [investment required was $100 Million in 5 years, MDs, CS, ENG.] approved for 40 application process of approval short
  • #AI applications: compute Ejection Fraction with an application on iPhone device – detect aneurysm in aorta
  • Google took rules to train chessmaster – same approach used in Medical devices
  • In ten years – EMR and Devices – machines can watch a cancer metastasize, learn HOW it does that
Richard Kuntz, MD
  • SVP, Chief Medical and Scientific Officer, Medtronic
  • SENSING capability to modulate therapy
  • deep stimulation for Parkinson
  • Sensing ICD detect pre-occaring arhythymias
  • detect hyper glicemia
  • PRD algorithms
  • EKG device – looks for Heart FAilure, water in the lungs – this device used to detect early ketoacidosis
  • Neuromodulation, cardiac monitoring, Diabetes
  • Artificial Pancreas – three arms clinical trial – Baysian statistic informative Priors – FDA works hard to understand and approve
Jagmeet Singh, MD, PhD 
  • Associate Chief, Cardiology Division, MGH; Professor of Medicine, HMS – Electrophysiology
  • Disterbances detected by sensors for prediction of Heart Failure – NOT YET integrated to EMR for better care – implentable devices are not yet using #AI
  • Non-implantable are using #AI vs implantable
  • arrhythmia – needs collaborations
  • #AI application alert the MD and the Patient vd Device is smart enough that the DEVICE WILL INTERVENE on their own – Validation of #AI algorithms will define future usage of #AI
8:20 am – 8:50 am
NVIDIA Ballroom
Fireside Chat: Seema Verma, Administrator, Centers for Medicare and Medicaid Services
Moderator: Gregg Meyer, MD
  • Chief Clinical Officer, PHS; Professor of Medicine, HMS; 2018 Forum Co-Chair
Seema Verma
  • Administrator, Centers for Medicare and Medicaid Services
  • 20% of GDP spent on Health Care taking away from Education and Defense
  • Mission to deliver INNOVATIONS, Robotics and Precision Medicine – CMS wants patient to get access to innovation
  • MODERNIZING: Drug Pricing, Value-Based Pricing – Patient in the Center
  • Price Transparency by Hospital to place online – WHAT cost what
  • Efficiency: 30% is spent on ADMINISTRATION – Technology needed to drive efficiencies
  • Patient-over-Paperwork – Advocated by @GreggMeyer, MD

    @PHS @HMS

  • Patients – Own their data –
  • BLUE Button – claim data from CMS available in Format organizing data
  • More data @CMS – Dat of MedicCare and MedicAID made available
  • Overhaul – Patient have their data to give it to researchers and to NIH
  • EMR – ease of use
  • #AI @CMS – all is DATA – meaningful format collecting all information in EMR – #AI needed for data analysis Biomarkers that requires actions
  • Value-based is for addressing efficacies
  • ACA – and Innovations: Subsidized – Rates went up over 100% happened before 2017 Carriers are opting out – Monopolies in some geographies – concerned over that
  • MedicAID aged, blind, disabled – more people placed into it – quality of care affected
  • INNOVATION center @CMS – great leadership, Providers coordinate care, how to include the Patient as beneficiary into the discussion Providers – and values, incentives by different models
  • Competition – @CMS was price setting – competition in Price setting nor @CMS as sole Price setter
8:50 am – 9:20 am
NVIDIA Ballroom
Fireside Chat: Paying for AI: Thinking Strategically About Reimbursements and Acceptance

Understanding how AI will be absorbed into a highly defined payment system is crucial to determining the rate and breadth that the technology will play in health care in the next decade. Two senior leaders will share their perspectives on how the technology will be paid for and what mechanisms will be used to arbitrate the scope and timing of those payments.

Moderator: Peter Markell
  • EVP Administration and Finance, CFO and Treasurer, PHS
  • How #AI will effect use of labor for efficiencies and cost
  • How the market will operate by use of Data to get provider get a share in the Saving of efficiency
  • Often the cost is not know
  • Pace of #AI
  • Providers and Insurers  need to work together of what is paid, disclosure information must be a better way
Patrick Conway, MD
  • CEO, BCBS of North Carolina – $10Millions
  • Deep Providers relations – share responsibility with providers
  • GNS Partnership
  • Dat analytics, Patiennt Segmentations
  • Customer experience for HealthCare plans – #AI to be used to engage Patients avatar for Millennials
  • Manage Providers with Technology for Customer
  • Zip code and life expectance both go down
  • Partners a pioneer in monitoring for efficiencies: Coding needed for risk adjustment
  • Radiology, Pathology, Anestesiology — #AI is more effective and assist MDs – feedback of @AI is instantaneous
  • DAt Analytics increases very fast
  • #AI is growing it can BRING COST DOWN – it is a must and existential
  • Partnership is replacing negotiation
Eric Murphy
  • CEO, @OptumInsight & Enterprise Growth Officer, @Optum – Data analytics – 5,000 Data Scientists
  • OptumIQ – subject matter expertise, #AI and analytics – Services offered to clients
  • Payer-Provider Convergence – no friction is the interest of both sides, Claim administration
  • right price, right claim
9:20 am – 9:50 am
NVIDIA Ballroom
1:1 Fireside Chat: Vasant Narasimhan, MD, CEO, Novartis
Moderator: Gregg Meyer, MD
  • Chief Clinical Officer, PHS; Professor of Medicine, HMS; 2018 Forum Co-Chair
Vasant Narasimhan, MD
  • CEO, Novartis
  • R&D for transformational efficacies
  • Novartis is a Data Science 70Biliion Doses per year – efficiencies needed and a Drug developer company
  • use #AI for 500 Clincial Trials around the World, Monitoring all trials
  • Data from research, biomarker,
  • Data Mining phyno type find new signature for drug discovery
  • Navidia – quantum computing for drug discovery and blockchain used for rolling the clinical trials from discovery
  • Insurance and Banking – data discovery and mining is extraordinary
  • Science 27 nurses in Clinical trial, Para Therapeutic, Google Partnership for clinical trials
  • Real Time monitoring: Study Operation Centers for all the Clinical Trials around the World if a Monitor arrived and what was the quality score
  • 25% of drug discovery affect Drug Prices
  • App NORA application with all the Clinical Trial workflow, identify Patients by Social Media, patient meets NP, protocol starts
  • Finding Drug Targets –
  • Push with regulators: deep minting of medical history to find super responders
  • Para therapeutics FDA label, Algorithm for ADDICTION, updating algorithm, need to inform regulator, Privacy Data vs mining permission RETHINK cultural transformation Organizational
  • Gene therapy and Cell therapy
  • Biosimilar Monoclonal antibody is been deployed in Africa
  • Finding super responders – Novartis can be a Leader due to data available
  • Regain Trust of Society in Big Pharma
9:50 am – 10:40 am
NVIDIA Ballroom
Machine Learning in Image Analysis: A Diagnostician’s Best Friend…or Replacement?

Diagnostic imaging is among the clinical fields receiving the greatest attention in the early stages of AI in healthcare. Even in this initial phase it appears that the technology may have profound effects on one of the most resource intensive fields in medicine. Panelists will consider the broad implications as well as topics such as how will role of radiologists evolve? Will AI tools ever become advanced enough to make decisions autonomously within the clinical workflow?

Moderator: Giles Boland, MD
  • Chair, Department of Radiology, BWH; Philip H. Cook Professor of Radiology, HMS
  • Diagnostic Imaging and Medicine is challenged by #AI
  • #AI is different than other transformational technological REVOLUTIONS
  • How to avoid unneeded scanns
Andrew Beck, MD, PhD
  • CEO, PathAI
  • Digital Pathology, information processing from Tissue to treatment
  • #AI is a friend not a Foe
  • #AI will bring value to Medicine by utilizing tools for Patients
  • Information Processing across specialties is for the future – Pathology and Radiology cooperation
Dorin Comaniciu, PhD
  • VP, Medical Imaging Technology, Siemens Healthineers
  • #AI more data , better performance, optimism to apply #AI for diagnosis, intervention
  • Precision, predicting
  • Population health, outcomes
  • Deliver systems performing per specification
  • incidentals: #AI efficiency, pushing forward Precision Medicine
  • #AI is the only technology to improve efficiency in Radiology #DeepReasoning does predictions intelligent management of Data
  • Data integration is a very difficult: Validation, for trust and it is not all rule based
Eyal Gura
  • Co-Founder and Chairman, Zebra Medical Vision
  • 30 #AI Products for Memograms, ultrasounds,
  • #AI will help Radiology
  • Triage by #AI brain bleed, lung colapse, aneurysm
Karim Karti
  • CEO, GE Healthcare Imaging
  • #AI is a Transformational Technology
  • Google DeepMind beat Chest player: Computer teach itself to play anf played against itself in few hours and computer played against best Computer, better than human
  • GE build Scanners: build Intelligent Scanners want to do it like NVIDIA
  • Simulation of CAT Labs – can avoid sending a Patient to the Lab, significantly lower the cost
  • GE is building platforms that integrate data inputs from multiple sources
Constance Lehman, MD, PhD
  • Chief, Breast Imaging Division, MGH; Professor of Radiology, HMS
  • Improving the Patient experience
  • #AI as a friend, #AI are tools that Radiologist are excited to have
  • Is surgery needed @MGH is based on #ML #DeepLearning applications to #BreatCancer
  • #AI to be used to find the Patients that need surgery and will benefit from it – help to find the 2% for surgery
10:40 am – 10:50 am
Nuance Foyer
Morning Break
10:50 am – 11:20 am
NVIDIA Ballroom
1:1 Fireside Chat: John Kelly, PhD, SVP, Cognitive Solutions and Research, IBM
Moderator: James Noga
  • VP and CIO, PHS
  • Bias in #ML #AI
  • lessons from WATSON #ML #AI
John Kelly, PhD
  • SVP, Cognitive Solutions and Research, IBM
  • #ML #AI – @IBM in the 50s
  • @IBM in 90s Built first Computer to play Chess and win
  • 2005 – WATSON – different paradigm leverage #ML #AI – intrigued by the data
  • 2010 – #ML #AI is very big again @IBM
  • Killer App #ML #AI in Healthcare is
  1. DRUG DISCOVERY: molecule, drug target, pathways
  2. with Mayo Clinic: MATCHING Patients to Clinical Trials using #ML #AI
  3. with Memorial Sloan Kettering: WATSON in Oncology for MDs consultation
  • Avoidance BIAS by #ML #AI usage in supervised knowledge WHAT DATA is used in a source for bias avoidance
  • Financial Services is @IBM bedrock where scaling was learned Call Center Assistance using #ML #AI
  • Oil & Gas – WATSON trained deployment to all platform in Northshore
  • Health Care workflow: #ML #AI for false positive and negative
  • Blood sugar control – prediction of Hyperglicemia
  • #AI #ML Implementation @IBM best sources of knowledge as Experts has been used: WHAT DATA YOU CHOOSE, Who choose it is annotated
  • WATSON – Oncology MDs worked on User Interface for sharing WATSON results for Patient decision making – Experience of Doctor-Patient relations has been transformed
  • Opportunities in HC for #AI #ML – we are just at the beginning, compute power in 5 years or 10 years there will not be a decision making, not been made using #AI #ML

 

  • 11:20 am – 12:10 pm
    NVIDIA Ballroom
Illuminating the Path to Clinician Empowerment

The sacred exchange between patient and clinician at the heart of medicine is increasingly under duress driven by a range of factors. Increasing clinician burnout is recognized as among the many negative consequences of this trend. Panelists will discuss how AI may improve the quality of the patient encounter, clinician workflow and ultimately clinician quality of life. Panelist will discuss how the new technology can meet these objectives when earlier information based technologies may have exacerbated the challenge.

Moderator: Sree Chaguturu, MD
  • VP, Population Health Management, PHS
  • #AI #ML as a tool in workflow to bring back Trust, Humanity due to clinicians burnout correlated with malpractice, turnover, suicide and alcohol, recognition at Partners
  • Actionable solutions: social psychological need
  • eliminate sources of burnout
Peter Durlach
  • SVP, New Business Development, Healthcare Division, Nuance
  • #AI #ML Product Dragon: move from dictation to data analytics, first time right – the documentation of the encounter with the Patient will be done by #AI #ML
  • Medication reconciliation progress done Alaxia
  • Talk to a device on the wall – Send a document to so and so
  • inject intelligence into the workflow: Image classification, deploy technology into the workflow: prioritization a stack of films for Radiologist to look first at acuity based ranking of films
Dennis Schmuland, MD
  • Chief Health Strategy Officer, US Health & Life Sciences, Microsoft
  • Building blocks for academics and clinitiVIsion Search knowledgespeech
  • #ML #AI everywhere for the office
  • using high definition cameras for triaging condition of the Patient used for screening
  • reduce ratinopathy treatment cost – image go to Retina specialist and go directly to the chart, MD is paid for the test
Punit Soni
  • CEO, Robin AI – ex-Google
  • #ML Doctor-Patient interaction Models
  • Patterns of medical documentation – ontologies of content
David Ting, MD
  • Chief Medical Information Officer, MGPO
  • Administration Burden causes burn-out of Clinicians
  • Data capture for retrieval
  • Project @MGH: multiple departments: capturing the sources of MDs burn-out: Journey of data
  • computer voice recognition – speak to computer have computer do work for you
  • 120 offices implemented LIVE scribes, 150 virtual scribes
  • Chart capture by #ML #AI – robotics solutions
  • ROI – increased productivity: see More patients, Acuity is up? intangible ROI – Job satisfaction of physicians
  • central scheduling and ordering
  • clinicians are trained in apprantainship model hard to change the workflow
12:10 pm – 1:10 pm
NVIDIA Ballroom
Disruptive Dozen: 12 AI Technologies That Will Reinvent Care

The culture of innovation throughout Partners HealthCare naturally fosters robust discussions about new “disruptive” technologies and which ones will have the biggest impact on health care. The Disruptive Dozen was created to identify and rank the technologies that Partners faculty feel will break through over the next decade to significantly improve health care. This year, the Disruptive Dozen focuses on relevant advances and opportunities in artificial intelligence (AI).

Moderator: Katherine Andriole, PhD
  • Director of Research Strategy and Operations, MGH & BWH CCDS; Associate Professor, Radiology, HMS
Moderator: Keith Dreyer, DO, PhD
  • Chief Data Science Officer, PHS; Vice Chairman, Radiology, MGH; Associate Professor, Radiology, HMS

TOP THREE DISTRUPTIVE #AI TECHNOLOGIES

#3 #DistruptiveDozen @OmarArnaout @HMS Can Personal Devices Improve Your Health?

#2 #DistruptiveDozen @HadiShafiee @BWH @HMS A Picture is Worth a Thousand Words

#1 #DistruptiveDozen @BrandonWestover @MGH @HMS #AI at the #Bedside

1:10 pm – 1:15 pm
NVIDIA Ballroom
Last Look
Keith Dreyer, DO, PhD
  • Chief Data Science Officer, PHS; Vice Chairman, Radiology, MGH; Associate Professor, Radiology, HMS
  • Interdisciplinary
  • Adoption is challenging
  • Journey will be long, continue to be positions with successes along the way
Anne Klibanski, MD
  • Chief Academic Officer, PHS; Laurie Carrol Guthart Professor of Medicine, Academic Dean for Partners, HMS; 2018 Forum Co-Chair
  • THANK YOU – SW writing SW – NAVIDIA, CEO
  • Contest Biobank Disease Challenge
  • Next year – Neuroscience & AI – major advances since the first Neuroscience
Gregg Meyer, MD
  • Chief Clinical Officer, PHS; Professor of Medicine, HMS; 2018 Forum Co-Chair
  • Many insights – SW writing SW – follow thorough innovations

*Panels and speakers are subject to change.

Read Full Post »

Synopsis Day 2: 2018 Annual World Medical Innovation Forum Artificial Intelligence April 23–25, 2018 Boston, Massachusetts  | Westin Copley Place

Posted in Artificial Intelligence - General, Conference Coverage with Social Media on April 24, 2018| Leave a Comment »

Synopsis Day 2: 2018 Annual World Medical Innovation Forum Artificial Intelligence April 23–25, 2018 Boston, Massachusetts  | Westin Copley Place

https://worldmedicalinnovation.org/

https://worldmedicalinnovation.org/https://www.youtube.com/channel/UCauKpbsS_hUqQaPp8EVGYOg

Announcement

Aviva Lev-Ari, PhD, RN,

Founder and Director of LPBI Group will be in attendance covering the event in REAL TIME

@pharma_BI

@AVIVA1950

 

All TWEETS from LPBI’s Twitter.com handles at

#WMIF18

@pharma_BI

@AVIVA1950

Tuesday, April 24, 2018

7:15 am – 7:50 am
Nuance Foyer
Continental Breakfast
7:50 am – 8:00 am
NVIDIA Ballroom
Opening Remarks
Chris Coburn
  • Chief Innovation Officer, PHS; President, Partners HealthCare International, PHS
8:00 am – 8:50 am
NVIDIA Ballroom
Will AI Bend the Cost and Access Curve

Historical barriers have driven increased medical costs and decreasing access since the 1960s. The “Iron Triangle of Healthcare” continues to represent a tenuous balance of quality, cost and accessibility – economists have lamented attempts to optimize one characteristic at the expense of the others. The accumulation of innovations in care delivery (e.g. shift to lower cost providers and settings), population management, value based reimbursement and hospital administration are having a measurable effect. Can AI based technologies accelerate the pace of innovation and finally bend the cost and access curves in the US?

Moderator: Timothy Ferris, MD
  • CEO, MGPO
Roy Beveridge, MD
  • SVP and CMO, Humana, Oncologist.
  • Payment methodology changes behavior.
  • AI will be helpful. Health where AI is very important – identify people who will become sick
  • 85% of Humana is value-based care, improve health of Population as a whole less Cost of care delivery. Diabetes as single diagnosis vs Diabetes and Behavioral Health, 2nd group care is 4 times more expensive [Food insecurity may be related to Transportation and medical in-adherence
  • Focus on Healthcare not on SickCare
  • Role of Insurer, was regulatory and conflict in Fee for Service. in a Value-based Value and Outcomes are aligned between Insurer and Provider
  • Providers ask the Payer for information to serve vey well the PATIENTS
  • MD believed the increased quality must increase quality with AI is powerful to move the payment system to increase quality and to LOWER the cost of care delivery
  • CMS data is been looked by many Agents for Analysis results will be interesting
  • MDs must be successful in two systems: Fee for Service AND Value-based – transition to 100% Value-based pricing
Leonard D’Avolio, PhD
  • CEO, Cyft, Inc. focus on Government sponsored Health Programs, only, using data to improve decision, True value-based pricing. Volume and Complexity vs Value and Outcome
  • Solutions are a service bought by Clients, they do not buy AI as a stand alone tool
  • AI is 10% 90% is understanding and design the analysis is a small part free Databases AI is a Hammer it can’t build the House on its own
  • Wrong incentive when the transition from Paper to digital records
Peter Orszag, PhD
  • Vice Chairman, Investment Banking and Managing Director, Lazard Freres
  • Role of AI and Cost of HealthCare: AI is necessary but is not sufficient, it needs systmes to improve results and reduce costs, 1/2028 – 14/2018, MediCare cost decline 1.8% related to Risk of Re-admission to Hospitals better estimated, INCENTIVES to Hospital to avoid re-admissions, lower re-admission is associated with higher mortality
  • Fee for Service vs Value-based cost – Substitution vs Complimentarity productivity enhancement
  • Massive variation of unwanted scans – move the entire Nation of the system side
  • AI will thrive in a Value-based Payment World, Provider system need to demand than new innovations using AI will be developed
  • In the near future the payment will be derived directly from the EMR
  • Quality of HC will be better than today because of DATA functions in systems operations and their control
8:50 am – 9:40 am
NVIDIA Ballroom
Drug Therapy Redefined Through Machine Learning

The drug development process is highly complex and has many drivers. The panel will discuss the strategic impact of AI on the entire process and the implications for healthcare overall. How will the combination of factors – research strategy, drug development, regulatory approvals, reimbursement and clinical effectiveness – be influenced by the implementation of AI. Panelists will discuss short and mid-term prospects and whether AI will ultimately lead to a restructuring of the pharma model to develop new therapies.

Moderator: Jean-François Formela, MD
  • Partner, Atlas Venture
  • who quality control of the Data set statistical powercan be assisted by AI
Jay Bradner, MD
  • President, Novartis Institutes for Biomedical Research
  • Advances by computer applications with downstream applications in Biotech
  • Molecule recognition, chemical classes – lead optimization in drug discovery
  • AI as catalyst to expeditiously in labs, length of experiment to shorten due to #AI
  • leverage data for drug discovery at the molecular level
  • Model autism gen in ZebraFish
  • Humbled by the challenge of the diseases: Challenges – data science and biomedical research, solution, qualtification elemental level
Mark Murcko, PhD
  • CSO, Relay Therapeutics
  • AI and Insights are connected, no magic without curation and new data and its curation
  • Structural biology using biophysical technique and simulation to understand motion, experimental data – interplay with the computational aspects
  • Toxicology transported and metabolized – Potasium Channel
Lee Lehman-Becker
  • Senior Director of Digital and Personalized Health Care Partnering, Roche
  • Retrospective studies Partnership with True experts and Technologies in #ML
  • Structuring data, Patients becoming aware of their data ownership
Georgia Papathomas, PhD
  • SVP, Global Head of Data Sciences, Johnson & Johnson
  • Insight driven company at J&J skills of the Data Scientists assessing Clinical Operations Data and  650 Million Patient clinical data used to assess biomarkets for onset of disease and progression of disease
  • AI tools gangers and opportunities in Big Pharma. Insight coming out
  • governance and structure and data accountability – WHO is qualified to do the analysis
  • Data Scientists: MD or Biologist with CS degrees with experience in Healthcare Tech and Science – governance of the data
  • Change management to come from Scientists who sees the hypothesis and Data scientist as partner of the Scientist
  • Seeking opportunities for collaboration: Clinical Trials area, communications with CRO, Share information wihtout compromising IP
Eric Perakslis, PhD
  • CSO, Datavant – Using Data to solve Medical Problems
  • FDA regulate 24 cents of the dollar in the US
  • DNA and Microbiome – data linking by AI is needed
  • Large problem – TB – studied by NGO
  • Rare diseases
  • CRO works on Parkinson or AD on clinical Trials that never works

 

9:40 am – 10:10 am
NVIDIA Ballroom
1:1 Fireside Chat: Atul Gawande, MD
Introduction by: John Fish
  • CEO, Suffolk; Chairman of Board Trustees, Brigham Health
  • Dr. Gawande made most important contributor to Medicine: Teacher, Researcher, Author, Surgeon, impact on Healthcare Reform
  • Visionary: making surgery safer, healthcare cover for all, advocator for lower cost of care delivery “Be Mortal” Caring about our future
Moderator: Elizabeth Nabel, MD
  • President, Brigham Health; Professor of Medicine, HMS
  • MGH and BWH opened TWO BRANDED hospitals in China – Academic medical centers as consultants
Atul Gawande, MD
  • Executive Director, Ariadne Labs; Samuel O. Thier Professor of Surgery, HMS; Surgeon, BWH
  • Innovations are not self executing, #AI as well
  • #AI applied in prediction of life risks Using #AI post surgery as monitor of recovery based on smartphone
  • #checklist on the wall in rural clinics vs #AI at Teaching Hospital:
  • FDA approved #AI: monitoring Anesthesia for endoscopy, retinopathy scan by PCP to be referred directly to Retina specialist not to Ophthalmologist
  • 1947 @MGH – Aneseptic solution – adoption took 20 years  and anesthesia adopted immediately
  • Innovation stream is voluminous – #AI needs a “CheckList for diffusion as a disruptive innovation in Medicine
  • Ready Environment: Capable and motivated – 60% of Hospital were not READY for rollup
  • Predictors of Readiness before an innovation can be taken ON
  • Upstream investment: Bill and Melinda Gates Foundation – identify challenges
  • Downstream investment: structuring systems
  • MGH – treats 2.3 % of Down syndrome in the US
  • Boston is the Silicon Valley for Medicine – Consorsium of Startups and Hospital Research enabling
  • Bullish on #AI implementations in Medicine, more money is needed
10:10 am – 10:25 am
Nuance Foyer
Morning Break
10:25 am – 11:15 am
NVIDIA Ballroom
Data Engineering in Healthcare: Liberating Value

The promise of machine learning and big data in in healthcare seems boundless – but healthcare data is massive and complex, and organizing and managing this data is the first step to an AI-empowered healthcare system.  Technology giants are investing in solutions to overcome these data engineering challenges, but with many visions of the future of healthcare data jockeying for dominance, what will the future of healthcare data really look like?  Can we finally liberate the value of data for patient care? And how will it happen?

Moderator: Mark Michalski, MD
  • Executive Director, MGH & BWH Center Clinical Data Science
  • Engineering the data is 90% and 10% Algorithm design
Iain Buchan, MD
  • ‎Director of Healthcare Research, Microsoft Research
  • Value circle on Patients
  • Value circle on Health system, the Hospital
  • Value circle on Health Care Workers
  • digital informed consent – is powerful
  • Problem Framing for utility of information
Patricia Florissi
  • VP and Global CTO, Sales, Dell EMC
  • Making Federated Analytics, intermediate results are shared, conserve bandwidth, storage and processing capacity follows Moore’s Law
  • Data governance issues
James Mault, MD
  • SVP and CMO, Qualcomm Life, Medical grade in IOT in real time from Hospital to Home
  • Connected care
  • #AI in OR monitoring – reduction of One day stay in each Hospital in the US is saving of $2Billion
  • Chart review: Medical Record, Billing since 2009 – EMR
  • Histeria on Health Privacy, convenience in storing credit card information
Greg Moore, MD, PhD
  • VP, Healthcare, Google Cloud
  • Improve HC Globally
  • make HC data interoperable and accessible using #AI, silos data in Genomics, EHR
  • Privacy & Security: In Europe $400 per patient vs $200 per bank customer – liability
  • Search for Medical information is not accessible yet
Shawn Murphy, MD, PhD
  • Chief Research Information Officer, PHS; Associate Professor of Neurology, HMS
  • Gather data at Partners and make it querriable, Massive data extraction, Open Source #ML and #AI to figure out what disease the Patient has – 200 hospitals are using the Open Source
  • datachallenge.,, ,partners.org
  • Data privacy
  • Sociology: MDs – #AI can help MDs
  • Mindfulness
Timothy Tuttle, PhD
  • CTO, Cognitive Collaboration Group, Cisco
  • Virtual version of SIRI for implementation in Hospitals
  • #AI – secure trusted data technology is available
  • application of neural nets to HC – reduction of error, language understanding heavy lifting needed
11:15 am – 11:45 am
NVIDIA Ballroom
1:1 Fireside Chat: Jensen Huang, CEO, NVIDIA
Introduction by: Scott Sperling
  • Co-President, Thomas H Lee Partners; Chairman of the Board of Directors, PHS
Moderator: Keith Dreyer, DO, PhD
  • Chief Data Science Officer, PHS; Vice Chairman, Radiology, MGH; Associate Professor, Radiology, HMS
Jensen Huang
  • CEO, NVIDIA
  • AI software WRITING software – teaching computers to perform task of writing software
  • Intelligent autonomous machine, augments – ROBOTICS
  • perception of the environment – like a car
  • reason about what it perceive – localization
  • develop a plan for action – change lanes, stay in lane
  • workflow – changed, skills of engineers has changed,  training data to write softward – how big your infrastructure is = your ability to generate code NOT THE NUMBER OF Programmers on the Team
  • build software that if the system fails, the backup and the backup of the back up will continue to run, backup system is the Pilot
  • 3,000 people working on the Car project
  • Source code is DATA
  • Super Human term – In Medicine data is abundant, disassociated and noisy
  • Data Science is at the intersection of domain: Be CS, Be MDwith specialty, Supercomputer
  • #AI the force of our time able to achieve super human results, extrapulate to the Future , automation of automation, Future be mindful
  • access to our computers to everyone
  • Democracy to prevail when technology is adding life and protect Democracy
  • Enhance and be augmented by #AI to make MDs SUPER MDs
12:00 pm – 1:00 pm
GE Ballroom
Lunch
12:30 pm – 1:00 pm
GE Ballroom
1:1 Fireside Chat: Paul Ricci, Former Chairman and CEO of Nuance Communications
Introduction by: Cathy Minehan
  • Managing Director, Arlington Advisory Partners; Chairman, Board of Trustees, MGH
Moderator: James Brink, MD
  • Chief, Department of Radiology, MGH; Juan M. Taveras Professor of Radiology, HMS
Paul Ricci
  • Former Chairman and CEO, Nuance Communications
1:00 pm – 1:10 pm
Transition to plenary sessions
1:10 pm – 2:00 pm
NVIDIA Ballroom
AI and Gene Sequencing

Gene sequencing technology has evolved considerably over the last 10 years, dramatically decreasing the cost to sequence a human genome. As the costs associated with the technical assay continue to decrease, data interpretation and reporting has become the new bottleneck. Can AI and ML based approaches be applied to better understand how genetic mutations play a role in diseases like cancer – where the high rate of mutation makes treatment challenging? And will continued democratization of genetic information help to accelerate the pace of innovation in the field?

Moderator: Heidi Rehm, PhD
  • Chief Laboratory Director, Laboratory for Molecular Medicine, PHS Personalized Medicine; Associate Professor of Pathology, BWH and HMS
  • Genomic Variation is still not understood
  • Commitment to sharing data
  • Three areas of Genomic Testing
  1. detection
  2. functional impact of variation to develop disease
  3. disease will be developed
Sandy Farmer, PhD
  • Executive Director, Worldwide R&D, Pfizer
  • Data, technology, innovations,
  • HIGHER ORDER SELECTED MY THE MACHINE
  • Transcriptome data – related to disease drugability translation
  • Data collection at Clinical Trial need be collected – different data need be collected
  • Automated image analysis – detect
  • how do we represent data and provide context that allow experiment with hypothesis
  • heterogeneity of dat ain samples – scientist need to find
Gad Getz, PhD
  • Director, Bioinformatics Program, Cancer Center and Department of Pathology, MGH; Director, Institute Member, Broad Institute; Associate Professor of Pathology, HMS
  • Whole genome was the beginning
  • Somatic mutation: Tumor vs normal Tissue
  • IMAGE MERGED WITH GENOMIC DAT FOR REFERRAL TO IMMUNETHERAPY
  • benchmark data sets, improve over time
Long Le, MD, PhD
  • Director, Computational Pathology and Director, Technology Development, Center for Integrated Diagnostics, MGH; Assistant Professor, Pathology, HMS
  • 2-3,000 variants on a patient – error are: Sequencing, PCR,
  • Interpreting the Variants
  • 6 Pathologists signed up – Predictability using filters 99%error validated matching sequencing
  • 50 patient data will make a run economical
  • Genomic-wide sequencing – molecular Pathology
  • Patient View need to pool several data sources
Gabriel Otte
  • CEO, Freenome – genomics in the blood
  • Early detection of Cancer #ML and #AI
  • #ML (pattern recognition in data): heuristic algorithms to train local genomics to identify cut off events point
  • #AI: what are the cancer signatures (KRAS) of relevance, generate novel hypothesis, signatores in the blood elevated PD1 rather than in the Tumor
  • Non canonical variation vs PCR then look at novel events
Susan Tousi
  • SVP, Product Development, Illumina, Inc.
  • #ML #AI – sequencing platform, improvement in data quality
  • Interpretation: Not all the promise of Genomics seen yet, improving “unknown significance”
  • data on Human to add Primate data into the model “Largely begnign” Largely Pathogenic”
  • 45% of the Non-Coding DNA – model to predict mutation and gene sequences- 10,000 bases – comparison of algorithms
  • Rich data sets in a federated data model, autism patients – genes not associated with the disease
  • Data need to have true sets
2:00 pm – 2:50 pm
NVIDIA Ballroom
Tangible Returns on the AI Value Proposition

Fueled by billions in venture investments, hundreds of new companies have emerged worldwide to develop and apply AI in health care. Beyond the US, China’s high AI priority has resulted in a vast array of technology driven start-ups. Global investors will discuss which area of machine learning will have the earliest meaningful impact? How do investors critically assess differentiation in such a crowded field? How are investment priorities set among the many divergent categories where AI will take hold?

Moderator: Meg Tirrell
  • Reporter, CNBC
Joe Cunningham, MD
  • Managing Director, Santé Ventures
  • Change the way MDs are trained – Decision Support development and used by MDs is a MUST
Roger Kitterman
  • VP, Venture, Innovation, PHS
  • Can a department in the PHS system adopt and only thereafter it would sell to other Health Care Systems
Amir Nashat, PhD
  • Partner, Polaris Partners
  • #EMR may be killed by #AI which bring voice recognition
  • New data architecture, Blockchain is a data architecture storage solution, Blockchain is a buzzy word, communal dat generated – who will own the data and it can be used to harm
Vijay Pande, PhD
  • Partner, Andreessen Horowitz
  • #AI machine can scale if they will capture the expertise of Medicine Specialties
  • Testing: Colon Cancer, ovarian Cancer, Breast cancer development of the process HOW to develop the Test
Lei Yang, PhD
  • Managing Director, Northern Light Venture Capital
  • #LinearOptimization and #NonLinearOptimization this combination is relevant to #EMR
2:50 pm – 3:40 pm
NVIDIA Ballroom
CEO Roundtable: The AI Opportunity as Foundational Change

Chief executives share perspectives on the impact of AI on their respective companies and industry segments. How prominently does AI figure into current investment strategies? And how are they measuring return on existing investments in AI? Panelist will be asked to take a position on whether AI is a truly transformational technology.

Moderator: Peter Slavin, MD
  • President, MGH
  • Three revolutions: Biological, Digital, Care Delivered and Paid for
  • What is the obstacle to diffuse #AI
Terri Bresenham
  • Chief Innovation Officer, GE Healthcare
  • #AI will enable quality care by ACCESS to Care
  • #AI will effect Cost of Care 0 by improvements: diagnostics, interventions, monitoring patients PRECISION and INTERCONNECTEDNESS  – what is the right way to disrupt operational business models, it is in additions with Genomics and Genetics
  • Changes of effect on Patient care Fast transition to Recovery from surgery – pay lower cost of care
  • Clinical level: Patients population using #AI on failure to respond to treatment in Clinical Trials
  • Partnership with Navidia – #AI became very impactful
  • #AI Technology shift will impact the largest number of people Consumer will become incharge on their health
  • Empowering not Overpower
Frans van Houten
  • CEO, Philips
  • Continuum of Care via silos of systems #AI will improve unlocking data and making data mode actionable
  • 500 data scientists work on Data Science toward Genomics, DIagnostics and Radiology, predict sepsis predict heart attacks by Analytics #AI embedded Intelligence at POC
  • #AI application:Sleep and Respiratory – CPAP machines – DATA and algorithms feed back to Patient and to MDs about the patient
  • #AI – utilization of assets – 40% savings if patient is positioned by using #AI
  • Good quality curated Data needed for #AI Algorithms – Europe – data privacy stringent vs China little data privacy therefore #AI advanced faster in Healthcare
  • US is ahead of Europe at the forefront

 

Jeffrey Leiden, MD, PhD
  • CEO, Vertex
  • #AI used on genomic sequences
  • #AI assists Pathologist in reading slides – Better care will be delivered
  • #AI to find modified genes – Cystic Fibrosis
  • #AI will be a LEADER Technology
Bernd Montag, PhD
  • CEO, Siemens Healthineers
  • 70% of decision made in Hospital are using Siemens delivered equipment
  • #AI preventive maintenance
  • #AI – is new way of doing business new DATA is generated on every aspect of an established business
  • Curated data: Lab, Imaging, patient History – #AI will be applied on multiple sources placed in one storage area
  • US is IT savvy
  • IOT Europe is gaining ground – Novel IT SW with #AI
  • 28 markets in Europe — create ONE market for HealthCare purposes
  • #AI will become a winner, it will take time, stars will emerge
3:40 pm – 3:50 pm
NVIDIA Ballroom
Announcement of IDG Awardees
Giles Boland, MD
  • Chair, Department of Radiology, BWH; Philip H. Cook Professor of Radiology, HMS
James Brink, MD
  • Chief, Department of Radiology, MGH; Juan M. Taveras Professor of Radiology, HMS
3:50 pm – 4:40 pm
NVIDIA Ballroom
Regulating AI in Healthcare, Requirements and Challenges

The increasing application of AI in health products puts pressure on the historical model of regulation – among them the agile development cycles and continuous learning environment that support AI / machine learning based algorithms. Panelists will discuss the regulatory approaches including the FDA’s recently announced Software Precertification pilot program.

Moderator: Michael Jaff, DO
  • President, NWH, PHS, Professor of Medicine, HMS
  • Regulatory channels for #AI
  • Five years prospective
Fabien Beckers, PhD
  • CEO, Arterys
  • #DeepLearning asa clinical tool in Hospitals
  • Clinical Solutions with #AI is no different than a clinical Device
  • Digital Software: Equalizing democratizing Healthcare
Hilary Malone, PhD
  • Chief Regulatory Officer, Sanofi
  • 1960 drugs, devices
  • #AI Benefits: Medical Utility – Regulatory designed for drugd in 1960s for drugs of 1960s
  • Thinking #AI for regulatory
  • #AI opportunities for trasforming the marketplace, we are in baby steps, Chinese FDA transformed itself to become a US FDA to speed decisions
  • MIT works on progressive innovations, continuous Clinical Trials – adaptation to broader populations, not all regulatory innovatios are in the West
  • New thinking on Drugs on Devices
  • Moving forward – Design space with Regulators
Todd McNitt
  • VP and GM, Healthcare Digital Solutions, GE Healthcare
  • #AI – The industry is in early application of #AI
  • Well curated data sets, Ability of ALgorithm for the Application
  • High value use cases: Validation of #AI algorithms, clinician involved in validation
  • post market surveys
  • Big Shift – in few years market surveillance – large number of #AI based application giving results and automation with continue
Bakul Patel
  • Associate Director for Digital Health, FDA – Group started at FDA in 2010, MobilX – need for continuous clarity in Digital Health, Two guidance per year. in 2018 -1500 questions posed to FDA by public developing applications in Digital Health, Vocabulary, UD , Globally: Brazil, EC, Japan, China, creating a Paradigm manufacture, R&D,
  • FDA System to scale to include #AI from existing expertise in Digital Health
  • FDA thinking how Safety, Efficacy will apply to #AI tools for drugs and medical devices
  • Connectivity of patient is built in the software – Version 1
  • Countries without regulation are growing Digital Health FASTER than countries with entranched Regulatory
  • World of #AI: Data is everything, trained by algorithms, clinical data used for training the algorithms
  • Communities of Common Data used and shared
  • Post market surveillance of #AI machinery: User interface: User performance, support evidence – start low level of Claim.
4:40 pm – 5:30 pm
NVIDIA Ballroom
AI in Hospital Environments: The Learning Provider

Health systems are actively evaluating strategies to drive efficiency throughout hospital operations. The deployment of AI based technologies to automate organizational tasks (e.g. medical coding / billing, prior authorizations) and optimize resource utilization (e.g. smart scheduling, no-show prediction) promises to help hospital systems adapt to changing macro-economic factors. This panel will discuss the role of AI in hospital operations and assess various approaches to reduce healthcare administration costs and increase efficiency.

Moderator: Adam Landman, MD
  • VP and CIO, Brigham Health
  • What is the Future Hospital with #AI looking like?
Samuel Aronson
  • Executive Director, IT, Personalized Medicine, PHS
  • Building application Open source, cheaper, share network across institutions
  • Algorithms driving IT applications
  • Algorithms make strands in monitoring and in detection – NOT ALL ALGORITHMS are #AI algorithms
  • Hospitals are moving to face the challenge
  • More open business models, innovate by using open data advocacy for open systems
A.G. Breitenstein
  • Partner, Optum Ventures
  • find patients early and monitor them at home #AI is very applicable for these goals
  • Get medical information to consumer BETTER search results than Dr. Google
  • Centralization of knowledgebase, virtualizable, convenience of patients is changing and is not identical to convenience of Practinioners’
  • Patient shows up with systems at Hospital can be backed up
Neil de Crescenzo
  • CEO, Change Healthcare
  • Connected ecosystem
  • DSS, Financial
  • $2Trillion data processed
  • Clinical DSS: Utilization Management 100,000 – $8Billion spending
  • Build platforms
  • pockets of implementations at different stages
Mudit Garg, MD
  • CEO, Qventus
  • #ML #AI
  • US and Canada, Hospital: Flow management of Patient Pharmacy operations
  • Anticipation of patient discharge
  • Balance needed inside and outside
  • CHanges to operation data : ALexa
Lisa Maki
  • Co-Founder, Director, PokitDok
  • #AI is the third revolution
  • ID of Patient as Front end to integrated billing system integrated with scheduling
  • Saving time to MDs
5:30 pm – 6:30 pm
GE Foyer
Attendee Networking Reception

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Synopsis Day 1: 2018 Annual World Medical Innovation Forum Artificial Intelligence April 23–25, 2018 Boston, Massachusetts  | Westin Copley Place

Posted in Artificial Intelligence - General, Conference Coverage with Social Media on April 23, 2018| Leave a Comment »

Synopsis Day 1: 2018 Annual World Medical Innovation Forum Artificial Intelligence April 23–25, 2018 Boston, Massachusetts  | Westin Copley Place

https://worldmedicalinnovation.org/

https://worldmedicalinnovation.org/https://www.youtube.com/channel/UCauKpbsS_hUqQaPp8EVGYOg

Announcement

Aviva Lev-Ari, PhD, RN,

Founder and Director of LPBI Group will be in attendance covering the event in REAL TIME

@pharma_BI

@AVIVA1950

 

All TWEETS from LPBI’s Twitter.com handles at

#WMIF18

@pharma_BI

@AVIVA1950

Monday, April 23, 2018

7:00 am – 8:00 am
GE Foyer
Breakfast
7:00 am – 8:00 am
Nuance Foyer
Registration
8:00 am – 11:30 am
NVIDIA Ballroom
First Look: The Next Wave of AI Breakthroughs in Health Care

Early career Harvard Medical School investigators kick-off the 2018 World Medical Innovation Forum with rapid fire presentations of their high potential new technologies. Nineteen rising stars from Brigham Health and Massachusetts General Hospital will give ten-minute presentations highlighting their discoveries and insights that will disrupt the field of artificial intelligence. This session is designed for investors, leaders, donors, entrepreneurs and investigators and others who share a passion for identifying emerging high-impact technologies. To view speakers and topics, click here.

Moderator: Trung Do
  • VP, Business Development, Innovation, PHS
Moderator: Clare Tempany, MD
  • Vice Chair of Research at the Department of Radiology, BWH; Ferenc Jolesz MD Professor of Radiology, HMS

6. Nathalie Agar, PhD

  • Cancer Surgery: first line for most patients with solid tumors, potentially curative
  • OR in 2018: Cancer Surgery: AMIGO – MRI, PET/CT, mass spectrometry (seconds response) molecular imaging in Oncology – tissue analysis in realtime during surgery: surgical margins – tumor vs non-tumor
  • Intraoperative paradigm: Biopsy, frozen (30 minutes), surgical resection, MRI (60minutes) – done once
  • Spectrum: targeted analysis: First Real Time intraoperative mass spectrometry
  • Multivariate data analysis – #ML: Reference Data for Classifier: Comprehensive spectra
  • Applications in Clinical Trials: Pathology combined with mass spectrometry
  • In Glioma: Marker validation Clinical Implimentation

7. Omar Arnaout, MD

  • CNOC – Computational Neuroscience Outcome Center at Harvard
  • IDH – Mutation in Brain tumor, Biomarkers status, clinical outcomes
  • Neurosurgery, ICU phynotyping data, biometrical data, pathology, MRI report classification

8. Jason Baron, MD

  • DSS for Lab Pathology – Lab Diagnosis – Result Reporting
  • Interrelationships, Multidimensionality data – Human does not extract all the interpretable insidhts in the data fromm labs
  • Computer Path AI Required: Irin deficiency – other lab data implies colon cancer causing iron defficiency
  • Ferritin must be interpreted in context: Predict Ferriting values by Algorithms  – MD missed the diagnosis
  • Detect anomalies
  • avaiding overlooked diagnoses
  • Eliminating redundant testing:
  • Computational Pathology: MIT – colleagues Time series analysis
  • immunologic dta
  • Platforms to implement algorithms and validate impact on cost of care
  • AI based and Rule-based experience , Clinical DSS

 

9. David Craft, PhD

  • The radiation planning problem Localization Optimization analysis for Tumor analysis and Radiation Plan development
  • What drug to give to what patient
  • Drug sensitivity prediction is HARD because of diversity of cancers
  • Value of prior knowledge in #ML of complex systems: Simulation assisted machine learning
  • System biology, Data Scientists, clinical scientists ML Specialists
  • Open source: data sharing – patient reports outcommes

10. Raul San Jose Estepar, PhD

  • Image HC Analytics: EHR, PACS, Billing – undiagnosed comorbidities and unidentified risk
  • COPD  – smoking is primary  – $32Billion COST of treatment
  • Chest Imaging – Lungs, Heart – Chest CT Scan – leverage information – exploit information in CT and CXR to define patient risk in HC systems (Hospitals)  Diasgnose COPD and predict hospitalization from CT and CXR

11. Andrey Fedorov, PhD – BWH

  • Apply AI to train data sets – Impression written by MDs are hard to be translated for AI algorim
  • Standardization of data – STANDARDS to store data
  • Contributions: Interoperability of data open source development: Generic data types: annotations, measurement, Reference implementation of the standard, Sample datasets
  • Clean data needed for AI Applications based on Standards
  • Scaling from small data sets to multiple clinical trials
  • Imaging Data needs Standards Open source

12. Greorg Gerber, MD, PhD

  • Microbiome therapeutics and diagnostics – $4Billion in 2024 – Market size
  • Pharmacology meets ecology
  • Meta genome: ML methods used for ecology interactions: Predict
  • MDSINE – Baysian (predict uncertainty) ML – Microbial Dynamical Systems INference Engine to make prediction for design of Therapeutics
  • C-diff infection – Developed a Diagnostics and a Therapeutics – Patented, License IP for Animal and Human studies – reich microbes and use the best therapeutics optimization
  • Food Allergy
  • Prediction from Time Series Analysis
  • Partnering: SW Platform to be used by Pharma, co-developed for Cloud

13. Daniel Hashimoto, MD

  • Inraoperative Adverse Events (IAE): inadvertent injury during an operation eatimated 440,000 IAEs annually, cost of admission 41% higher in patient with IAE
  • How to access quantitative data fro OR
  • Solution: Computer vision and probabilistic modeling utilizing neural networks and HMMs
  • Detects deviations from statistically expected operative course
  • 92% accuracy in detecting steps of laparascopic sleeve Cancer resection
  • Benefits: Patients, Surgeons, Hospitals
  • MGH-MIT Advantage: realtime analysis of massively streamed datasets
  • Recognition phases: Context-base vs Instrument-based
  • Deviation Detection to predict and PREVENT the complication before it occurs Predict Post OPs: Liver or colon resection
  • Maximize Surgeon success

 

14. Kasper Lage, PhD

  • Collaborative innovations
  • Sequence Genome at a staggering pace – AI application: Patterns in genetic data: Identify Pathways from Vast Literature keyword analysis, networks identified – AI algorithms development for Pathway Signature: Cancer, AD
  • Cancer pathways – Genomic Atlas using Harvard-MIT, Dana Farber Massive parallel assays analysis for mutations in genes. UnKnown cancer pathways guide prediction: protectable insights:
  • Outlook: Cell-type-specific social networks neurological, metabolic, CVD & Cancer

15. William Lane, MD, PhD

  • Blood Typing and Transfusion Complications –
  • Extended Serologic Typing: Patient cell Antibody Reagent
  • ABO A2, cis-AB, A9B)
  • RhD – Partial D, weak D
  • SNP Typing less expensive
  • K+
  • E+
  • S+ GAAAATGG
  • @MGH Whole Genome Sequencing (WGS) Blood Typing [BloodTyper] 300 WGS 99.9% concordant
  • Types: decrease Cost: WG ($$$) –>> Whole Exome ($$)–>>Antigen Genes ($)–>> Specific Antigen (<$)

 

16. Quanzheng Li, PhD

  • Information Overload in high Queuing Settings
  • PACS to the Cloud – AI-enabled Screening
  • AI Sytem for pre-screening and prioritization
  • Detection of Pneumothorax: intervention in one hour: symptoms atypical or masked
  • Algorithmic PET based neural network: 16 false emphysema due to image artifacts vs Pneumothorax diagnosis – to reduce False positive Chest Xray is used in China and India. at MGH CT is used
  • same methods can be used for Stroc/Aneurysm, bone fractures, tube resuction of metal artificats

17. Maulik Majmudar, MD

  • We do not leverage past experiences to inform future, quality gap, 17 years gap fro discovery to practivce
  • Aggregate patient data
  • SmartRx System architecture – Customizable, realtime semi-automated querying using NLP
  • Custom queries, Easyto-use Filters, query results – annotated and save query for future use
  • Auto-immune hemolytic anemia: Steroid, glucosteroids (prednisone)
  • Heart Failure
  • Quality of Care: Improve outcome by therapeutic appropriatenessAutomate prior authorization requirements, automate registries
  • Commercialization Plans

18. Thomas McCoy, MD

  • Computational Pharmacology in Psychiatry: One trial, agent, indication
  • Off-target burden: Drug Burden Score RISK: Bleeding, Medical Clinical Fall, Delirium [comfusion]
  • Drug burdens – Many drugs: Bleeding
  • First Partnership: Testing: Genetic Code used to per Patients Specific Score RISK: Bleeding, Medical Clinical Fall, Delirium
  • Population management, Decision Support, Learning Health Systems

19. Ziad Obermeyer, MD

  • ER – Test for Heart attack, Chest Pain, we test too much 100,000 of tests in ER
  • $765Billion is waste
  • Analysis of Medicare Data
  • ML prediction who will benefit from which test in ER – test that will pay off Average cost in ER $120K per life-year
  • Screening smokers for lung cancer vs Cancer immunotherapy $160K
  • When no tests – high risk patients NOT tested
  • Algorithm see ST elevation vs Doctors who did not see

20. Michael Rosehthal, MD, PhD

  • BMI: Visceral fat & CVD, Higher Muscle mass Better cancer outcome and ICU Survival
  • Neural network applied to select the SLICE of Pancreatic pf cancer patient
  • Select the segmentation
  • Body composition of FAT – automated analysis from CT scanner to the Report: Low cost, high volume broad impact,
  • Potential Applications: CVS – Method to analize risk vs stress test
  • Cancer risk screening
  • Improve drug dosing for high-cost treatment
  • Guidance for dietary and fitness interventions
  • All deliverable using CT scans already performed
  • Product development and deployment
  • Develoe PACS interface tools
  • Accelerate research to prove clinical applications

21. Hadi Shafiee, PhD

  • In-Vitro fertilization – effective is very low less 30%
  • Solution: Automated, AI-empowered, low-cost optical system
  • Free access
  • charge Pay per cycle
  • Results: Implantation rate, pregnancy outcome blastocyst prediction

22. Erica Shenoy, MD, PhD

  • Infectious disease: Diagnosis vs Prevention of Infections by isolation
  • C-diff hospital acquired – $30K treat one case, $5Billion /year
  • C-diff Exposure – Increase risk: Traditional RIsk: Prediction vs ML Approcah
  • Prediction for Prevention Hospital specific models: Daily predictions: five days before diagnosis patient was identified, patient to be prevented to transmit the disease

23. Brandon Westover, MD, PhD

  • Sleep Staging: Algorithm concensus on apnea detection – Algorithm is better than human
  • Brain Age Algorithm
  • Overnight EEG ->> Brain Age = Brain Health: Patients without Disease vs Diabetes & CVD Patient – with disease 4 years “older” looking
  • AI algorithms:

24. Sabine Wilhelm, PhD

  • Mental Health Treatment: Barriers and Solutions
  • MGH developed a smartphone cognitive behavior Y=treatment (CBT) application for body with Telefonica Alpha for Disformic Disorder
  • Core  component of CBT – to develop adaptive behavior with Clinician access for suicide prevention during depression
  • Applications Average body image disturbance scores at pre, mid and post treatment: BDD – severe body image disterbence 35 is the highest in 12 weeks the score is 20
11:30 am – 11:45 am
Break and Move to Discovery Café Workshops
11:45 am – 1:00 pm
3rd Floor and 7th Floor
Discovery Café Workshops

Lunch with Top Leadership from across Partners HealthCare and Industry.

Seven intensive workshops addressing cutting-edge artificial intelligence topics. To view topics and speakers, click here

1:00 pm – 1:20 pm
Break
1:20 pm – 1:45 pm
NVIDIA Ballroom
Opening Remarks
The Honorable Charlie Baker
  • Governor of the Commonwealth of Massachusetts
  • Rockstars organized the Conference
  • Great Schools, increasing interest inn STEM by high school students,
  • Turns and changes, complexities in Health Care and new therapies get bigger these changes where stacks are that high, #AI can help in research, discovery, How physicians use the tools, #AI is hard to predict HOW? it will be different, yet #AI is another tool helping serve purposes of Patients care and comfort
Anne Klibanski, MD
  • Chief Academic Officer, PHS; Laurie Carrol Guthart Professor of Medicine, Academic Dean for Partners, HMS; 2018 Forum Co-Chair
David Torchiana, MD
  • CEO, PHS
1:45 pm – 2:25 pm
NVIDIA Ballroom
Reflecting on the Impact of AI at the Bed and the Bench: Chairs Roundtable

Senior clinical leaders, current and past Forum Chairs, will share perspectives on the range of impact of AI on clinical practice. Discussion will highlight the rapid evolution of AI as a practical clinical tool and short and mid-term prospects for adoption in cancer, cardiovascular and neurological care.

Moderator: Sue Siegel
  • CIO and CEO, Business Innovations, GE
Keith Dreyer, DO, PhD
  • Chief Data Science Officer, PHS; Vice Chairman, Radiology, MGH; Associate Professor, Radiology, HMS
  • Data is not organized enough
  • AI needs be embedded to be adopted
  • FDA may not be ready for AI changing the data
Anne Klibanski, MD
  • Chief Academic Officer, PHS; Laurie Carrol Guthart Professor of Medicine, Academic Dean for Partners, HMS; 2018 Forum Co-Chair
  • ML is used interchangeably with AI – they are not the same!! Population genotypes require integration with other segments and disciplines
  • Country is technologically advanced, people are not getting healthier, great tech for monitoring, patient do not adhere, technology help yet not take you to Finish Line
  • Training new physicians: Different Cohort will emerge – Medical Education will change – redesign the structure and the content
  • Physicians will need to learn Statistics to accept or deny data results
Calum MacRae, MD, PhD
  • Vice Chair for Scientific Innovation, Department of Medicine, BWH; Chief Executive, One Brave Idea, BWH; Associate Professor of Medicine, HMS; 2017 Forum Co-Chair
  • Early solution are here, infrastructure needed for mature solutions
  • Vested interests may slow #AI, re-engineering the HC systems will be first applications
Gregg Meyer, MD
  • Chief Clinical Officer, PHS; Professor of Medicine, HMS; 2018 Forum Co-Chair
Anthony Rosenzweig, MD
  • Chief, Cardiology Division, MGH; Professor of Medicine, HMS; 2017 Forum Co-Chair
  • Potential of Neuro Networks may insert disparities by limitations of its training by humans
2:25 pm – 3:15 pm
NVIDIA Ballroom
Can AI Based Drug Development Feed A Hungry Pipeline?

Given the scarcity of late-stage assets, prolonged timelines and enormous costs of bringing drugs to market, AI-based approaches to target discovery, drug design and drug repurposing hold significant promise to positively disrupt the existing R&D paradigm.

Moderator: Anthony Philippakis, MD, PhD
  • Chief Data Officer, Broad Institute; Cardiologist, BWH; Venture Partner, Google Ventures
  • Tech and BioTech vs Big Pharma — WHO will lead the way
Andrew Hopkins
  • CEO, Exscientia
  • Clinical Hypothesis developed on increase HDL as a result of combination of #ML,
  • Repurpose drug is using #AI
  • #AI is getting better – FEW molecules with one year turn around Challenge of #AI – Reengineer Processes of Drug Discovery
  • China and #AI as a National Strategy
  • 50% investment in developing new algorithms
Sekar Kathiresan, MD
  • Director, Center for Genomic Medicine, MGH; Ofer and Shelly Nemirovsky MGH Research Scholar; Associate Professor of Medicine, HMS
  • In CVD – New targets are under discovery using #AI
  • Genotype and Phyno type correlations – give insights in research, same role will #AI play
  • Germ Line – 5 pathways in CVD a BLEND
  • Data available  90% on analysis
Thomas Lynch, MD
  • EVP and CSO, R&D, Bristol-Myers Squibb
  • #AI will help initiate Biomarker discovery, like Genomics idintified new pathways, AI will held in discovery
  • #AI tools enabling to use BigData
  • Lack of productivity in development of drug, #AI can accelerate drug development from discovery, Pharma is ready to accelerate this process
Niven Narain
  • CEO, BERG
  • We need a common language in #AI not to confuse all players using AI in Medicine
  • How long a treatment lat may make the MOSY difference in disease stage
  • Drug need come faster, lower toxicity, Patients must be engaged
  • 70% investment to be in dat acquisition 30% in data analysis
Mike Nohaile, PhD
  • SVP, Strategy, Commercialization & Innovation, Amgen
  • Human help #DeepLearning #NLP – applications to Medicine is coming not yet there
  • Fusion of Pharma experience is needed for the Novice #AI companies re-inventing drug discovery targeting
3:15 pm – 4:05 pm
NVIDIA Ballroom
Smart EHRs: AI for All

The first wave of EHR adoption has focused primarily on digitizing the patient record – with a more recent focus on building interactive clinical decision support capabilities. Development and implementation of CDS applications currently  requires  clinical staff to observe trends in data, develop protocols to act on these trends and work with technical staff to codify the logic into executable form. As NLP and computer vision capabilities become more advanced, algorithms will identify and propose actions reflecting patterns in the data. The panel will discuss existing challenges and whether AI technology will ultimately support an unsupervised learning approach in the EHR to identify trends and possible responses at both the patient and population level?

Moderator: O’Neil Britton, MD
  • SVP and CMO, MGH
  • INCREMENTALISM – Medicine will love that

 

Dan Burton
  • CEO, Health Catalyst
  • Dta platform, integrate EMR, Financial, aggreagate data
  • Build Analytics applications
  • Expertise as Analytics Services

 

Seth Hain
  • Director, Analytics & Machine Learning, Epic
  • Synthesis of Data
  • Voice detection for Clinicians
  • Google Analytics is using AI
Sudhir Kulkarni
  • President, Digital, Persistent Systems
  • Building a platform using #AI as a unifying factor for the platform
  • The purpose of #AI is to make life of MDs, NPs easier
  • EHR is system of record not Engagement System – life of user is not easy
  • Augmented Intelligence rather than Artificial Intelligence
Noga Leviner
  • CEO, Picnic Health
  • Data collection will increasing AI will play major role – will AI help will become an anachronistic term
  • “Patients will be horrified if they would to know all the data about them recorded”
Diana Nole
  • CEO, Wolters Kluwer Health
  • Data with Long term vision
  • Interoperability Standards are needed
4:05 pm – 4:55 pm
NVIDIA Ballroom
AI and the Cost of Trials: The Impact of Real World and Real Time Evidence

AI based approaches to conduct faster and more efficient clinical trials are beginning to emerge. Current approaches include applying predictive tools to perform more targeted patient recruitment and more accurate eligibility assessment. Panelists will discuss timelines for AI technology to have a measurable effect on trial cost and time to conduct the trial. Bottlenecks to applying this technology at scale and whether there will be a measurable effect on the cost of bringing drugs to market over the next decade will also be examined.

Moderator: Krishna Yeshwant, MD
  • Partner, Google Ventures; Instructor in Medicine, BWH
Amy Abernethy, MD, PhD
  • CMO, CSO & SVP Oncology, Flatiron Health
  • Linking Patient Data with Genomics data is in Oncology available not in other indications
  • Recruit a  Treatment arm for a clinical trial, the control arm is selected from already collected data for other studies
  • Regulatory agency
Ramesh Durvasula, PhD
  • VP, Research IT, Eli Lilly and Company
  • State Health Systems have multiple Data sets
  • Repurpose Data is very important – Not done
  • To train data you need data – for training dat there is not enough data
  • AXIOM is GSK leading a common model building dat from multiple Pharmas
  • Model more like in Experiments
Colin Hill
  • CEO, GNS Healthcare
  • 645 patients at Dana Farber, new Biomarker was discovered
Jackie Hunter, PhD
  • CEO, BenevolentAI
  • #ML is used in cleaning Data
  • Payors have leverage over reimbursement
Joseph Scheeren, PharmD
  • Senior Advisor, R&D, Bayer
  • Data is available for studies
  • FDA has 77 Milion patient data for Safety relted studies
  • PMDA is Japan’s FDA – have 100% data standardized for clinical Trials.
  • Validation of Data from wearable sensors and Fitbit
  • Regulators do not understand how data is transferred over most advanced computer chips
Stephen Wiviott, MD
  • Executive Director, Clinical Trials Office, PHS; Associate Professor of Medicine, HMS
  • Randomization of the Clinical CVD Trial 17,000 World cost $1.2 Billion take 7 years to complete
  • How AI can help? Site selection and training the staff it may be able to find patients. How do we know that
  • Virtual Trials: will that happened what will be the cost
  • EMR can be used for Clinical Trials, randomization is the gold standard and done in silicon will not replace Randomization
5:00 pm – 6:00 pm
Nuance Foyer
Opening Reception

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