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Archive for the ‘Scientific & Biotech Conferences: Press Coverage’ Category

Live Conference Coverage @Medcitynews Converge 2018 Philadelphia:Liquid Biopsy and Gene Testing vs Reimbursement Hurdles

Reporter: Stephen J. Williams, PhD

 

9:25- 10:15 Liquid Biopsy and Gene Testing vs. Reimbursement Hurdles

Genetic testing, whether broad-scale or single gene-testing, is being ordered by an increasing number of oncologists, but in many cases, patients are left to pay for these expensive tests themselves. How can this dynamic be shifted? What can be learned from the success stories?

Moderator: Shoshannah Roth, Assistant Director of Health Technology Assessment and Information Services , ECRI Institute @Ecri_Institute
Speakers:
Rob Dumanois, Manager – reimbursement strategy, Thermo Fisher Scientific
Eugean Jiwanmall, Senior Research Analyst for Medical Policy & Technology Evaluation , Independence Blue Cross @IBX
Michael Nall, President and Chief Executive Officer, Biocept

 

Michael: Wide range of liquid biopsy services out there.  There are screening companies however they are young and need lots of data to develop pan diagnostic test.  Most of liquid biopsy is more for predictive analysis… especially therapeutic monitoring.  Sometimes solid biopsies are impossible , limited, or not always reliable due to metastasis or tough to biopsy tissues like lung.

Eugean:  Circulating tumor cells and ctDNA is the only FDA approved liquid biopsies.  However you choose then to evaluate the liquid biopsy, PCR NGS, FISH etc, helps determines what the reimbursement options are available.

Rob:  Adoption of reimbursement for liquid biopsy is moving faster in Europe than the US.  It is possible in US that there may be changes to the payment in one to two years though.

Michael:  China is adopting liquid biopsy rapidly.  Patients are demanding this in China.

Reimbursement

Eugean:  For IBX to make better decisions we need more clinical trials to correlate with treatment outcome.  Most of the major cancer networks, like NCCN, ASCO, CAP, just have recommendations and not approved guidelines at this point.  From his perspective with lung cancer NCCN just makes a suggestion with EGFR mutations however only the companion diagnostic is approved by FDA.

Michael:  Fine needle biopsies are usually needed by the pathologist anyway before they go to liquid biopsy as need to know the underlying mutations in the original tumor, it just is how it is done in most cancer centers.

Eugean:  Whatever the established way of doing things, you have to outperform the clinical results of the old method for adoption of a newer method.

Reimbursement issues have driven a need for more research into clinical validity and utility of predictive and therapeutic markers with regard to liquid biopsies.  However although many academic centers try to partner with Biocept Biocept has a limit of funds and must concentrate only on a few trials.  The different payers use different evidence based methods to evaluate liquid biopsy markers.  ECRI also has a database for LB markers using an evidence based criteria.  IBX does sees consistency among payers as far as decision and policy.

NGS in liquid biopsy

Rob: There is a path to coverage, especially through the FDA.  If you have a FDA cleared NGS test, it will be covered.  These are long and difficult paths to reimbursement for NGS but it is feasible. Medicare line of IBX covers this testing, however on the commercial side they can’t cover this.  @IBX: for colon only kras or nras has clinical utility and only a handful of other cancer related genes for other cancers.  For a companion diagnostic built into that Dx do the other markers in the panel cost too much?

Please follow on Twitter using the following #hash tags and @pharma_BI

#MCConverge

#cancertreatment

#healthIT

#innovation

#precisionmedicine

#healthcaremodels

#personalizedmedicine

#healthcaredata

And at the following handles:

@pharma_BI

@medcitynews

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Live Conference Coverage @MedCity news Converge 2018 Philadelphia: Early Diagnosis Through Predictive Biomarkers, NonInvasive Testing, 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)

5:00 – 5:45 PM Early Diagnosis Through Predictive Biomarkers, NonInvasive Testing

Reporter: Stephen J. Williams, Ph.D.

 

Diagnosing cancer early is often the difference between survival and death. Hear from experts regarding the new and emerging technologies that form the next generation of cancer diagnostics.

Moderator: Heather Rose, Director of Licensing, Thomas Jefferson University
Speakers:
Bonnie Anderson, Chairman and CEO, Veracyte @BonnieAndDx
Kevin Hrusovsky, Founder and Chairman, Powering Precision Health @KevinHrusovsky

Bonnie Anderson and Veracyte produces genomic tests for thyroid and other cancer diagnosis.  Kevin Hrusovksy and Precision Health uses peer reviewed evidence based medicine to affect precision medicine decision.

Bonnie: aim to get a truth of diagnosis.  Getting tumor tissue is paramount as well as properly preserved tissue.  They use deep RNA sequencing  and machine learning  in their clinically approved tests.

Kevin: Serial biospace entrepreneur.  Two diseases, cancer and neurologic, have been diseases which have been hardest to get reproducible and validated biomarkers of early disease.  He concentrates on protein biomarkers.

Heather:  FDA has recently approved drugs for early disease intervention.  However the use of biomarkers can go beyond patient stratification in clinical trials.

Kevin: 15 approved drugs for MS but the markers are scans looking for brain atrophy which is too late of an endpoint.  So we need biomarkers of early disease progression.  We can use those early biomarkers of disease progression so pharma can target those early biomarkers and or use those early biomarkers of disease progression  for endpoint

Bonnie: exciting time in the early diagnostics field. She prefers transcriptomics to DNA based methods such as WES or WGS (whole exome or whole genome sequencing).  It was critical to show data on the cost savings imparted by their transcriptomic based thryoid cancer diagnostic test for payers to consider this test eligible for reimbursement.

Kevin: There has been 20 million  CAT scans for  cancer but it is estimated 90% of these scans led to misdiagnosis. Biomarker  development  has revolutionized diagnostics in this disease area.  They have developed a breakthrough panel of ten protein biomarkers in serum which he estimates may replace 5 million mammograms.

All panelists agreed on the importance of regulatory compliance and the focus of new research should be on early detection.  In addition they believe that Dr. Gotlieb’s appointment to the FDA is a positive for the biomarker development field, as Dr. Gotlieb understands the potential and importance of early detection and prevention of disease.  Kevin also felt Dr. Gotlieb understands the importance of incorporating biomarkers as endpoints in clinical trials.  Over 750 phase 1,2, and 3 clinical trials use biomarker endpoints but the pharma companies still need to prove the biomarkers clinical relevance to the FDA.They also agreed it would be helpful to involve advocacy groups in putting more pressure on the healthcare providers and policy makers on this importance of diagnostics as a preventative measure.

In addition, the discovery and use of biomarkers as disease endpoints has led to a resurgence of Alzheimer’s disease drug development by companies which have previously given up on these type of neurodegenerative diseases.

Kevin feels proteomics offers great advantages over DNA-based diagnostics, especially in cancer such as ovarian cancer, where a high degree of specificity for a diagnostic test is required to ascertain if a woman should undergo prophylactic oophorectomy.  He suggests that a new blood-based protein biomarker panel is being developed for early detection of some forms of ovarian cancer.

Please follow on Twitter using the following #hash tags and @pharma_BI

#MCConverge

#cancertreatment

#healthIT

#innovation

#precisionmedicine

#healthcaremodels

#personalizedmedicine

#healthcaredata

And at the following handles:

@pharma_BI

@medcitynews

 

Please see related articles on Live Coverage of Previous Meetings on this Open Access Journal

LIVE – Real Time – 16th Annual Cancer Research Symposium, Koch Institute, Friday, June 16, 9AM – 5PM, Kresge Auditorium, MIT

Real Time Coverage and eProceedings of Presentations on 11/16 – 11/17, 2016, The 12th Annual Personalized Medicine Conference, HARVARD MEDICAL SCHOOL, Joseph B. Martin Conference Center, 77 Avenue Louis Pasteur, Boston

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

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

https://pharmaceuticalintelligence.com/press-coverage/

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Thriving at the Survival Calls during Careers in the Digital Age – An AGE like no Other, also known as, DIGITAL, 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)

Thriving at the Survival Calls during Careers in the Digital Age – An AGE like no Other, also known as, DIGITAL

Author and Curator: Aviva Lev-Ari, PhD, RN

 

The source for the inspiration to write this curation is described in

Survival Calls during Careers in the Digital Age

https://pharmaceuticalintelligence.com/2018/06/13/survival-calls-during-careers-in-the-digital-age/

 

In this curation, I present the following concepts in three parts:

  1. Part 1: Authenticity of Careers in the Digital Age: In Focus, the BioTechnology Sector
  2. Part 2: Top 10 books to help you survive the Digital Age

  3. Part 3: A case study on Thriving at the Survival Calls during Careers in the Digital Age: Aviva Lev-Ari, UCB, PhD’83; HUJI, MA’76 

 

Part 1: Authenticity of Careers in the Digital Age: 

In Focus, the BioTechnology Sector

 

Lisa LaMotta, Senior Editor, BioPharma Dive wrote in Conference edition | June 11, 2018

Unlike that little cancer conference in Chicago last week, the BIO International convention is not about data, but about the people who make up the biopharma industry.

The meeting brings together scientists, board members, business development heads and salespeople, from the smallest virtual biotechs to the largest of pharmas. It allows executives at fledgling biotechs to sit at the same tables as major decision-makers in the industry — even if it does look a little bit like speed dating.

But it’s not just a partnering meeting.

This year’s BIO also sought to shine a light on pressing issues facing the industry. Among those tackled included elevating the discussion on gender diversity and how to bring more women to the board level; raising awareness around suicide and the need for more mental health treatments; giving a voice to patient advocacy groups; and highlighting the need for access to treatments in developing nations.

Four days of meetings and panel discussions are unlikely to move the needle for many of these challenges, but debate can be the first step toward progress.

I attended the meetings on June 4,5,6, 2018 and covered in Real Time the sessions I attended. On the link below, Tweets, Re-Tweets and Likes mirrors the feelings and the opinions of the attendees as expressed in real time using the Twitter.com platform. This BioTechnology events manifested the AUTHENTICITY of Careers in the Digital Age – An AGE like no Other, also known as, DIGITAL.

The entire event is covered on twitter.com by the following hash tag and two handles:

 

I covered the events on two tracks via two Twitter handles, each handle has its own followers:

The official LPBI Group Twitter.com account

The Aviva Lev-Ari, PhD, RN Twitter.com account

Track A:

  • Original Tweets by @Pharma_BI and by @AVIVA1950 for #BIO2018 @IAmBiotech @BIOConvention – BIO 2018, Boston, June 4-7, 2018, BCEC

Curator: Aviva Lev-Ari, PhD, RN

https://pharmaceuticalintelligence.com/2018/06/11/original-tweets-by-pharma_bi-and-by-aviva1950-from-bio2018-iambiotech-bioconvention-bio-2018-boston-june-4-7-2018-bcec/

 

  • Reactions to Original Tweets by @Pharma_BI and by @AVIVA1950 from #BIO2018

Curator: Aviva Lev-Ari, PhD, RN

https://pharmaceuticalintelligence.com/2018/06/12/reactions-to-original-tweets-by-pharma_bi-and-by-aviva1950-from-bio2018/

Track B:

  • Re-Tweets and Likes by @Pharma_BI and by @AVIVA1950 from #BIO2018 @IAmBiotech @BIOConvention – BIO 2018, Boston, June 4-7, 2018, BCEC

Curator: Aviva Lev-Ari, PhD, RN

https://pharmaceuticalintelligence.com/2018/06/11/re-tweets-and-likes-by-pharma_bi-aviva1950-from-bio2018-iambiotech-bioconvention-bio-2018-boston-june-4-7-2018-bcec/

Part 2: Top 10 books to help you survive the digital age

From Philip K Dick’s obtuse robots to Mark O’Connell’s guide to transhumanism, novelist Julian Gough picks essential reading for a helter skelter world

Here are 10 of the books that did help me [novelist Julian Gough]: they might also help you understand, and survive, our complicated, stressful, digital age.

  1. Marshall McLuhan Unbound by Marshall McLuhan (2005)
    The visionary Canadian media analyst predicted the internet, and coined the phrase the Global Village, in the early 1960s. His dense, complex, intriguing books explore how changes in technology change us. This book presents his most important essays as 20 slim pamphlets in a handsome, profoundly physical, defiantly non-digital slipcase.
  2. Ubik by Philip K Dick (1969)
    Pure pulp SF pleasure; a deep book disguised as a dumb one. Dick shows us, not a dystopia, but a believably shabby, amusingly human future. The everyman hero, Joe Chip, wakes up and argues with his robot toaster, which refuses to toast until he sticks a coin in the slot. Joe can’t do this, because he’s broke. He then has a stand-up row with his robot front door, which won’t open, because he owes it money too … Technology changes: being human, and broke, doesn’t. Warning: Dick wrote Ubik at speed, on speed. But embedded in the pulpy prose are diamonds of imagery that will stay with you for ever.
  3. The Singularity Is Near by Ray Kurzweil (2005)
    This book is what Silicon Valley has instead of a bible. It’s a visionary work that predicts a technological transformation of the world in our lifetime. Kurzweil argues that computer intelligence will soon outperform human thought. We will then encode our minds, upload them, and become one with our technology, achieving the Singularity. At which point, the curve of technological progress starts to go straight up. Ultimately – omnipotent, no longer mortal, no longer flesh – we transform all the matter in the universe into consciousness; into us.
  4. To Be a Machine by Mark O’Connell (2017)
    This response to Kurzweil won this year’s Wellcome prize. It’s a short, punchy tour of transhumanism: the attempt to meld our minds with machines, to transcend biology and escape death. He meets some of the main players, and many on the fringes, and listens to them, quizzically. It is a deliberately, defiantly human book, operating in that very modern zone between sarcasm and irony, where humans thrive and computers crash.
  5. A Visit from the Goon Squad by Jennifer Egan (2011)
    This intricately structured, incredibly clever novel moves from the 60s right through to a future maybe 15 years from now. It steps so lightly into that future you hardly notice the transition. It has sex and drugs and rock’n’roll, solar farms, social media scams and a stunningly moving chapter written as a PowerPoint presentation. It’s a masterpiece. Life will be like this.
  6. What Technology Wants by Kevin Kelly (2010)
    Kelly argues that we scruffy biological humans are no longer driving technological progress. Instead, the technium, “the greater, global, massively interconnected system of technology vibrating around us”, is now driving its own progress, faster and faster, and we are just caught up in its slipstream. As we accelerate down the technological waterslide, there is no stopping now … Kelly’s vision of the future is scary, but it’s fun, and there is still a place for us in it.
  7. The Meme Machine by Susan Blackmore (1999)
    Blackmore expands powerfully and convincingly on Richard Dawkins’s original concept of the meme. She makes a forceful case that technology, religion, fashion, art and even our personalities are made of memes – ideas that replicate, mutate and thus evolve over time. We are their replicators (if you buy my novel, you’ve replicated its memes); but memes drive our behaviour just as we drive theirs. It’s a fascinating book that will flip your world upside down.
  8. Neuromancer by William Gibson (1984)
    In the early 1980s, Gibson watched kids leaning into the screens as they played arcade games. They wanted to be inside the machines, he realised, and they preferred the games to reality. In this novel, Gibson invented the term cyberspace; sparked the cyberpunk movement (to his chagrin); and vividly imagined the jittery, multi-screened, anxious, technological reality that his book would help call into being.
  9. You Are Not a Gadget: A Manifesto by Jaron Lanier (2010)
    Lanier, an intense, brilliant, dreadlocked artist, musician and computer scientist, helped to develop virtual reality. His influential essay Digital Maoism described early the downsides of online collective action. And he is deeply aware that design choices made by (mainly white, young, male) software engineers can shape human behaviour globally. He argues, urgently, that we need to question those choices, now, because once they are locked in, all of humanity must move along those tracks, and we may not like where they take us. Events since 2010 have proved him right. His manifesto is a passionate argument in favour of the individual voice, the individual gesture.
  10. All About Love: New Visions by bell hooks (2000)
    Not, perhaps, an immediately obvious influence on a near-future techno-thriller in which military drones chase a woman and her son through Las Vegas. But hooks’s magnificent exploration and celebration of love, first published 18 years ago, will be far more useful to us, in our alienated digital future, than the 10,000 books of technobabble published this year. All About Love is an intensely practical roadmap, from where we are now to where we could be. When Naomi and Colt find themselves on the run through a militarised American wilderness of spirit, when GPS fails them, bell hooks is their secret guide.

SOURCE

https://www.theguardian.com/books/2018/may/30/top-10-books-to-help-you-survive-the-digital-age?utm_source=esp&utm_medium=Email&utm_campaign=Bookmarks+-+Collections+2017&utm_term=277690&subid=25658468&CMP=bookmarks_collection

Part 3: A case study on Thriving at the Survival Calls during Careers in the Digital Age:  Aviva Lev-Ari, UCB, PhD’83; HUJI, MA’76

 

On June 10, 2018

 

Following, is a case study about an alumna of HUJI and UC, Berkeley as an inspirational role model. An alumna’s profile in context of dynamic careers in the digital age. It has great timeliness and relevance to graduate students, PhD level at UC Berkeley and beyond, to all other top tier universities in the US and Europe. As presented in the following curations:

Professional Self Re-Invention: From Academia to Industry – Opportunities for PhDs in the Business Sector of the Economy

https://pharmaceuticalintelligence.com/2018/05/22/professional-self-re-invention-from-academia-to-industry-opportunities-for-phds-in-the-business-sector-of-the-economy/

 

Pioneering implementations of analytics to business decision making: contributions to domain knowledge conceptualization, research design, methodology development, data modeling and statistical data analysis: Aviva Lev-Ari, UCB, PhD’83; HUJI, MA’76 

https://pharmaceuticalintelligence.com/2018/05/28/pioneering-implementations-of-analytics-to-business-decision-making-contributions-to-domain-knowledge-conceptualization-research-design-methodology-development-data-modeling-and-statistical-data-a/

 

This alumna is Editor-in-Chief of a Journal that has other 173 articles on Scientist: Career Considerations 

https://pharmaceuticalintelligence.com/category/scientist-career-considerations/

 

In a 5/22/2018 article, Ways to Pursue Science Careers in Business After a PhD by Ankita Gurao,

https://bitesizebio.com/38498/ways-to-pursue-the-business-of-science-after-a-ph-d/?utm_source=facebook&utm_medium=social&utm_campaign=SocialWarfare

Unemployment figures of PhDs by field of science are included, Ankita Gurao identifies the following four alternative careers for PhDs in the non-academic world:

  1. Science Writer/Journalist/Communicator
  2. Science Management
  3. Science Administration
  4. Science Entrepreneurship

My career, as presented in Reflections on a Four-phase Career: Aviva Lev-Ari, PhD, RN, March 2018

https://pharmaceuticalintelligence.com/2018/03/06/reflections-on-a-four-phase-career-aviva-lev-ari-phd-rn-march-2018/

has the following phases:

  • Phase 1: Research, 1973 – 1983
  • Phase 2: Corporate Applied Research in the US, 1985 – 2005
  • Phase 3: Career Reinvention in Health Care, 2005 – 2012
  • Phase 4: Electronic Scientific Publishing, 4/2012 to present

These four phases are easily mapped to the four alternative careers for PhDs in the non-academic world. One can draw parallel lines between the four career opportunities A,B,C,D, above, and each one of the four phases in my own career.

Namely, I have identified A,B,C,D as early as 1985, and pursued each of them in several institutional settings, as follows:

A. Science Writer/Journalist/Communicator – see link above for Phase 4: Electronic Scientific Publishing, 4/2012 to present 

B. Science Management – see link above for Phase 2: Corporate Applied Research in the US, 1985 – 2005 and Phase 3: Career Reinvention in Health Care, 2005 – 2012 

C. Science Administration – see link above for Phase 2: Corporate Applied Research in the US, 1985 – 2005and Phase 4: Electronic Scientific Publishing, 4/2012 to present 

D. Science Entrepreneurship – see link above for Phase 4: Electronic Scientific Publishing, 4/2012 to present  

Impressions of My Days at Berkeley in Recollections: Part 1 and 2, below.

  • Recollections: Part 1 – My days at Berkeley, 9/1978 – 12/1983 –About my doctoral advisor, Allan Pred, other professors and other peers

https://pharmaceuticalintelligence.com/2018/03/15/recollections-my-days-at-berkeley-9-1978-12-1983-about-my-doctoral-advisor-allan-pred-other-professors-and-other-peer/

  • Recollections: Part 2 – “While Rolling” is preceded by “While Enrolling” Autobiographical Alumna Recollections of Berkeley – Aviva Lev-Ari, PhD’83

https://pharmaceuticalintelligence.com/2018/05/24/recollections-part-2-while-rolling-is-preceded-by-while-enrolling-autobiographical-alumna-recollections-of-berkeley-aviva-lev-ari-phd83/

The topic of Careers in the Digital Age is closely related to my profile, see chiefly: Four-phase Career, Reflections, Recollections Parts 1 & 2 and information from other biographical sources, below.

Other sources for my biography

 

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

https://worldmedicalinnovation.org/

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

3.1.5

3.1.5   2018 Annual World Medical Innovation Forum Artificial Intelligence April 23–25, 2018 Boston, Massachusetts  | Westin Copley Place https://worldmedicalinnovation.org/, 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

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

On 5/2015

4/2018

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
7:00 am – 8:00 am
Nuance Foyer
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
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
1:20 pm – 1:45 pm
NVIDIA Ballroom
Opening Remarks
  • Governor of the Commonwealth of Massachusetts
  • Chief Academic Officer, PHS; Laurie Carrol Guthart Professor of Medicine, Academic Dean for Partners, HMS; 2018 Forum Co-Chair
  • 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
  • Chief Data Science Officer, PHS; Vice Chairman, Radiology, MGH; Associate Professor, Radiology, HMS
  • Chief Academic Officer, PHS; Laurie Carrol Guthart Professor of Medicine, Academic Dean for Partners, HMS; 2018 Forum Co-Chair
  • Vice Chair for Scientific Innovation, Department of Medicine, BWH; Chief Executive, One Brave Idea, BWH; Associate Professor of Medicine, HMS; 2017 Forum Co-Chair
  • Chief Clinical Officer, PHS; Professor of Medicine, HMS; 2018 Forum Co-Chair
  • Chief, Cardiology Division, MGH; Professor of Medicine, HMS; 2017 Forum Co-Chair
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.

  • Chief Data Officer, Broad Institute; Cardiologist, BWH; Venture Partner, Google Ventures
  • CEO, Exscientia
  • Director, Center for Genomic Medicine, MGH; Ofer and Shelly Nemirovsky MGH Research Scholar; Associate Professor of Medicine, HMS
  • EVP and CSO, R&D, Bristol-Myers Squibb
  • CEO, BERG
  • SVP, Strategy, Commercialization & Innovation, Amgen
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?

  • SVP and CMO, MGH
  • CEO, Health Catalyst
  • Director, Analytics & Machine Learning, Epic
  • President, Digital, Persistent Systems
  • CEO, Picnic Health
  • CEO, Wolters Kluwer Health
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.

  • Partner, Google Ventures; Instructor in Medicine, BWH
  • CMO, CSO & SVP Oncology, Flatiron Health
  • VP, Research IT, Eli Lilly and Company
  • CEO, GNS Healthcare
  • CEO, BenevolentAI
  • Senior Advisor, R&D, Bayer
  • Executive Director, Clinical Trials Office, PHS; Associate Professor of Medicine, HMS
5:00 pm – 6:00 pm
Nuance Foyer

Tuesday, April 24, 2018

7:15 am – 7:50 am
Nuance Foyer
7:50 am – 8:00 am
NVIDIA Ballroom
Opening Remarks
  • 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
  • SVP and CMO, Humana
  • CEO, Cyft, Inc.
  • Vice Chairman, Investment Banking and Managing Director, Lazard Freres
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.

  • Partner, Atlas Venture
  • President, Novartis Institutes for Biomedical Research
  • CSO, Relay Therapeutics
  • SVP, Global Head of Data Sciences, Johnson & Johnson
  • CSO, Datavant
  • Global Head of Digital and Personalized Health Care Partnering, Roche
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
  • President, Brigham Health; Professor of Medicine, HMS
  • Executive Director, Ariadne Labs; Samuel O. Thier Professor of Surgery, HMS; Surgeon, BWH
10:10 am – 10:25 am
Nuance Foyer
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 CCDS
  • ‎Director of Healthcare Research, Microsoft Research
  • VP and Global CTO, Sales, Dell EMC
  • SVP and CMO, Qualcomm Life
  • VP, Healthcare, Google Cloud
  • Chief Research Information Officer, PHS; Associate Professor of Neurology, HMS
  • CTO, Cognitive Collaboration Group, Cisco
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
  • Chief Data Science Officer, PHS; Vice Chairman, Radiology, MGH; Associate Professor, Radiology, HMS
  • CEO, NVIDIA
12:00 pm – 1:00 pm
GE Ballroom
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
  • Former Chairman and CEO, Nuance Communications
1:00 pm – 1:10 pm
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
  • Executive Director, Worldwide R&D, Pfizer
  • Director, Bioinformatics Program, Cancer Center and Department of Pathology, MGH; Director, Institute Member, Broad Institute; Associate Professor of Pathology, HMS
  • Director, Computational Pathology and Director, Technology Development, Center for Integrated Diagnostics, MGH; Assistant Professor, Pathology, HMS
  • CEO, Freenome
  • SVP, Product Development, Illumina, Inc.
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
  • Managing Director, Santé Ventures
  • VP, Venture, Innovation, PHS
  • Partner, Polaris Partners
  • Partner, Andreessen Horowitz
  • Managing Director, Northern Light Venture Capital
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
  • Chief Innovation Officer, GE Healthcare
  • CEO, Philips
  • CEO, Vertex
  • CEO, Siemens Healthineers
3:40 pm – 3:50 pm
NVIDIA Ballroom
Announcement of IDG Awardees
  • Chair, Department of Radiology, BWH; Philip H. Cook Professor of Radiology, HMS
  • 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
  • CEO, Arterys
  • Chief Regulatory Officer, Sanofi
  • VP and GM, Healthcare Digital Solutions, GE Healthcare
  • Associate Director for Digital Health, FDA
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
  • Executive Director, IT, Personalized Medicine, PHS
  • Partner, Optum Ventures
  • CEO, Change Healthcare
  • CEO, Qventus
  • Co-Founder, Director, PokitDok
5:30 pm – 6:30 pm
GE Foyer

Wednesday, April 25, 2018

7:00 am – 7:30 am
Nuance Foyer
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
  • CEO, Bay Labs
  • SVP, Chief Medical and Scientific Officer, Medtronic
  • Founder and CEO, Butterfly Network
  • Associate Chief, Cardiology Division, MGH; Professor of Medicine, HMS
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
  • Administrator, Centers for Medicare and Medicaid Services
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
  • CEO, BCBS of North Carolina
  • CEO, OptumInsight & Enterprise Growth Officer, Optum
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
  • CEO, Novartis
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
  • CEO, PathAI
  • VP, Medical Imaging Technology, Siemens Healthineers
  • Co-Founder and Chairman, Zebra Medical Vision
  • CEO, GE Healthcare Imaging
  • Chief, Breast Imaging Division, MGH; Professor of Radiology, HMS
10:40 am – 10:50 am
Nuance Foyer
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
  • SVP, Cognitive Solutions and Research, IBM
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
  • SVP, New Business Development, Healthcare Division, Nuance
  • Chief Health Strategy Officer, US Health & Life Sciences, Microsoft
  • CEO, Robin AI
  • Chief Medical Information Officer, MGPO
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).

  • Director of Research Strategy and Operations, MGH & BWH CCDS; Associate Professor, Radiology, HMS
  • Chief Data Science Officer, PHS; Vice Chairman, Radiology, MGH; Associate Professor, Radiology, HMS
1:10 pm – 1:15 pm
NVIDIA Ballroom
Last Look
  • Chief Data Science Officer, PHS; Vice Chairman, Radiology, MGH; Associate Professor, Radiology, HMS
  • Chief Academic Officer, PHS; Laurie Carrol Guthart Professor of Medicine, Academic Dean for Partners, HMS; 2018 Forum Co-Chair
  • Chief Clinical Officer, PHS; Professor of Medicine, HMS; 2018 Forum Co-Chair

*Panels and speakers are subject to change.

Highlighted Presenters

Jensen Huang

CEO, NVIDIA

Vasant Narasimhan MD

CEO, Novartis

Paul Ricci

Former Chairman and CEO, Nuance Communications

Atul Gawande MD

Executive Director, Ariadne Labs; Samuel O. Thier Professor of Surgery, HMS; Surgeon, BWH

Seema Verma

Administrator, Centers for Medicare and Medicaid Services

Sue Siegel

CIO and CEO, Business Innovations, GE

Frans van Houten

CEO, Philips

Bernd Montag PhD

CEO, Siemens Healthineers

Terri Bresenham

Chief Innovation Officer, GE Healthcare

John Kelly PhD

SVP, Cognitive Solutions and Research, IBM

Karim Karti

CEO, GE Healthcare Imaging

Jonathan Rothberg PhD

Founder and CEO, Butterfly Network

Jay Bradner MD

President, Novartis Institutes for Biomedical Research

Colin Hill

CEO, GNS Healthcare

Amy Abernethy MD, PhD

CMO, CSO & SVP Oncology, Flatiron Health

Thomas Lynch MD

EVP and CSO, R&D, Bristol-Myers Squibb

Diana Nole

CEO, Wolters Kluwer Health

Roy Beveridge MD

SVP and CMO, Humana

Fabien Beckers PhD

CEO, Arterys

Peter Orszag PhD

Vice Chairman, Investment Banking and Managing Director, Lazard Freres

Georgia Papathomas PhD

SVP, Global Head of Data Sciences, Johnson & Johnson

Punit Soni

CEO, Robin AI

Dan Burton

CEO, Health Catalyst

Jean-François Formela MD

Partner, Atlas Venture

Patrick Conway MD

CEO, BCBS of North Carolina

Jackie Hunter PhD

CEO, BenevolentAI

Greg Moore MD, PhD

VP, Healthcare, Google Cloud

Noga Leviner

CEO, Picnic Health

Leonard D’Avolio PhD

CEO, Cyft, Inc.

Vijay Pande PhD

Partner, Andreessen Horowitz

Iain Buchan MD

‎Director of Healthcare Research, Microsoft Research

Mark Murcko PhD

CSO, Relay Therapeutics

Andrew Hopkins

CEO, Exscientia

Gabriel Otte

CEO, Freenome

Joseph Scheeren PharmD

Senior Advisor, R&D, Bayer

Susan Tousi

SVP, Product Development, Illumina, Inc.

Lisa Maki

Co-Founder, Director, PokitDok

Timothy Tuttle PhD

CTO, Cognitive Collaboration Group, Cisco

Seth Hain

Director, Analytics & Machine Learning, Epic

Featured Speakers

Note: speakers are subject to change.

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Tweets by @pharma_BI and @AVIVA1950 for #PMConf  at The 13th Annual Personalized Medicine Conference, From Concept to the Clinic, November 14–16, 2017, Joseph B. Martin Conference Center, Harvard Medical School, 77 Avenue Louis Pasteur Boston, MA 02115

Curator: Aviva Lev-Ari, PhD, RN

 

@pharma_BI

@AVIVA1950

 

All TWEETS from LPBI’s Twitter.com handles at #PMConf 

@pharma_BI

@AVIVA1950

  1. Aviva Lev-Ari Retweeted Gary An

    nice comment

    Aviva Lev-Ari added,

  2. Narrative plan unsupported by facts

  3. Robert C. Green, M.D., M.P.H., Director, Genomes2People Research Program, Professor of Medicine (Genetics), Brigham and Women’s Hospital, Broad Institute and Harvard Medical School pharmacogenomics can harm if odds are so low adherence will be lower

  4. Michael Snyder, Ph.D., Stanford W. Ascherman Professor, Chair, Department of Genetics, Director, Center of GenomiPersonalized Medicine, Stanford University School of Medicine Personal sequencing for multiple etiologies rich people are sequenced

  5. Tom Miller, M.S., Founder, Managing Partner, GreyBird Ventures LLC duty to call up therapies that will not work, balance addressed by PM – diagnostics in PM clinical utility from patient selection for the therapy the patient will respond to

  6. Sandro Galea, M.D., School of Public Health, Boston University US expense on Health care the highest in the World comes on the expense of housings, mental health, education – curative vs preventive care MDs are insentiviced to keep patients sick

  7. Robert C. Green, M.D., Broad Institute and HMS Platinum vs gold standard 59 genes will identify 80,000 will get the disease and 47,000 will never get the disease, is the technology the reason for investment vs Family history?

  8. Bryce Olson, Global Marketing Director, Health and Life Sciences Group, Intel Corporation Genome sequencing found his Pi3K Pathway – PIK3CA p.E54 – Anti Inhibitor for Pi3K = Precision Medicine

  9. Sean Khozin, M.D., M.P.H., Associate Director (Acting), Oncology Center of Excellence, FDA 21st Century – metastatic solid tumors – 900 patients: accommodated plan Lab developed Tests: new approach Efficiency, transparency

  10. innovation INFORMS at NIH Center of Excellence – data collection and analysis of multiple data types Biometric sensors collecting data on cancer patients collaboration with Academia, single arm vs randomized decentralized devices are collecting data

  11. FDA considers N of One, small samples, EGFR drug was approved in 2 1/2 years since Phase 1 of NDA New trial designs: reduce bias and alternative end points narrow criteria for participation, more personalized and more patient-centered innovation

  12. Sean Khozin, M.D., M.P.H., Associate Director (Acting), Oncology Center of Excellence, FDA Advances of technology of biomarkers, disease indication Accelerated approval by FDA a collaborative of speeding the process companion diagnosis assays

  13. Unmet need, commitment is there, innovation and connectivity drive access, collaboration not competition – helps Precision medicine in emerging nations. Access to PM anywhere in the world suggested Kristin Pothier, MS, Global Head, Life Sciences EY

  14. Stephen L. Eck, M.D., Ph.D., President, CEO, Aravive Biologics; Board Chairman, PMC Laxo – A molecular target to be found by diagnostics TEST — as a basis to develop a drug Pricing and value – dimensions of Value to society How PM is done today?

  15. Marc S. Williams, MD Geisinger Clinical Genomics vs Physician specialist (i.e.,hypercholestoralemia), both in same place – paper and EMR Outcomes – tracking patients over decades – systems in place to capture the data Virtual Cycle Clinical data

  16. Timothy Cannon, M.D., Inova Molecular Tumor Board, 5 hospital in VA, Precision Genomics Cancer Therapy Poor understanding of molecular results by MDs, Refractory Patients no Forum to discuss other options 220 patients presented beyond InovaOncologi

  17. Scott A. Beck, Mayo Clinic, MN, AZ PM, Genomics sequencing, BioEthics, IT, Translational Perspective in Epi-genomics, Discovery to Translation Applicattions Pharmacy- Formulary – EMR – Champions from Disease areas to practice environment Testing

  18. payment dominates delivery of care, future PM from Genomics cost to patients Transform acceptability of PM suggested Ronald A. Paulus, M.D., M.B.A., President, CEO, Mission Health, NC, ex-Geisinger, CIO

  19. Genomics based PM to be turned into Wellness Strategy – the path not yet knows said Jeffrey R. Balser, M.D., Ph.D., Dean, Vanderbilt University School of Medicine; President, CEO, Vanderbilt University Medical Center, Nashville, TN

  20. Millianlian Diabetics NOT on Medicare, Analytics: iPhone telling patient dishes to order since SYSTEM KNOWS BLOOD SUGER 24×7 – target care by Analytics Genomics paid by NIH PM Analytics is built at Vanderbilt University MC, Jeffrey R. Balser, CEO

  21. Survival of patient with mutation and targeted drug LIVE LONGER David B. Roth, M.D., Ph.D., Simon Flexner Professor Chair, Pathology and Laboratory Medicine, Perelman School of Medicine at University of Pennsylvania

  22. Lotte Steuten, Ph.D., School of Pharmacy at University of Washington, Seattle aggregate big data , models as evidence, has value to clinical, the model under development NGS Profile of Patient vs current standard of care.

  23. David B. Roth, M.D., Ph.D., UPenn Director, Penn Center for Precision Medicine 5000 patients underwent genome sequencing Interpretation is the issue that is hard Health IT are still in silos: Pharmacy data, financial data, EMR

  24. Michael Pellini, M.D., M.B.A., Chairman, Board of Directors, Foundation Medicine; Board Member, Personalized Medicine Coalition, we know there is value in PM we need to work together on the challenges — to prove the value in PM

  25. Andrea Stern Ferris, M.B.A., President, Chairman of the Board, LUNGevity Foundation – PATIENT to be included in the conversation patient after successful treatment have hope work pay taxes pay to health plans continue family life

  26. Molecular Era, NEJM, 2017, 377, 1813-1823, BRAF in Melanoma – 80% do not need additional therapy vs 20% benefitted in the Non-Molecular Era, data by Dane J. Dickson, CureOne (formerly MED-C); Oregon Health and Science University

  27. CURES – CAR-T are they cures??? A teen-ager’s Value-based Price: $475,000 x years lived suggests  Steven D. Pearson, M.D., M.Sc., Founder, President, Institute for Clinical and Economic Review (ICER)

  28. Of 134 drugs in development – 42 have the potential to become Personalized medicine therapies, said Stephen J. Ubl, President, CEO, PhRMA

  29. Transplantation vs enhancement – resistance to senescence and pathogens to be achieved by gene editing suggests George M. Church, Ph.D., Professor of Genetics

  30. Regulatory oversight on engineering embrios is coming, metric of success in recruitment of patients said Arthur L. Caplan, Ph.D., Drs. William F. and Virginia Connolly Mitty Chair, Director, Division of Medical Ethics, New York Univ

  31. CRISPR does not handle all mutation many require a different editing tool said George M. Church, Ph.D., Professor of Genetics, Health Sciences and Technology, Harvard-MIT Division of Health Sciences and Technology

  32. understand well enough  the gentic application where CRISPR will assist medicine: Retinal degeneration, two aspects one worked in Japan said Katrine Bosley, CEO, Editas Medicine

  33. Aviva Lev-Ari Retweeted Aviva Lev-Ari

    Amazing Power in hands of informed patients

    Aviva Lev-Ari added,

  34. Patients input and sophistication increased – IRB is not aware of the engagement of Patients and their challenging feedback say Deborah Schrag, M.D., M.P.H, Dana Farber

  35. Physicians needs interfaces, dashboard information delivered to MDs, data sits unused, new tools are needed for the data display by relevance to the MDs – clinicians needs decision support in their office

  36. Standards: Toxicity criteria – library of 882 symptoms, Patient reported outcomes by Patients, Resist criteria applied to imaging data criteria for brain tumors said Deborah Schrag, M.D., M.P.H., Chief Medical Oncology, Dana-Farber

  37. drafting document on Verify data integrity in clinical trials, detect discrepancies compromise the integrity of the data – audits by FDA said Sean Khozin, M.D., M.P.H., Associate Director (Acting), Oncology Center of Excellence, FDA

  38. pre-existing autoimmune disease – not indicated for them Immunotherapy even though patients wish to try said Deborah Schrag, M.D., M.P.H., Chief, Division of Population Sciences, Medical Oncology, Dana-Farber Cancer Institute

  39. Drug approved for one indication, provide new data for supplemental indications said Sean Khozin, M.D., M.P.H., Associate Director (Acting), Oncology Center of Excellence, FDA

  40. Eric G. Klein, Pharm.D, Eli Lilly Aggregate burden of disease, existence of co-morbidities Genomics: WHY is explained – precise tools data vs intelligence – interoperability Past clinical trial, replicate studies retrospective data

  41. linkages vs computational techniques we do not have consistent data, data structured Vital sign or WBC count – we have data standardization is evolving said Deborah Schrag, M.D., M.P.H., Chief, Dana-Farber Cancer Institute

  42. use data sets prospective vs retrospective studies asked Amy Abernethy, M.D., Ph.D., Chief Medical Officer, Chief Scientific Officer, Flatiron Health; Board Member, Personalized Medicine Coalition

  43. Clinical sense vs research context, FDA is more comfortable with other than oncology products beyond drugs, namely diagnostics, diagnostics company seeking partnership with many drug areas Thermo FIscher and Novartis partnership

  44. Cost of CT Scan vs an NGS Test – Genomic testing is much cheaper yet volume is still low said Jacob S. Van Naarden, Chief Business Officer, Loxo Oncology

  45. NGS – time results come back what the mutation mean? NOW results come in few days, data analysis assist the said Joydeep Goswami, Ph.D., M.B.A., M.S., President, Clinical Next-Generation Sequencing, Oncology, Thermo Fisher Scientifi

  46. 3D BioPrinting of Drugs and the innovation storm of agents — are both benefits, value based pricing, elasticities, is that price sufficient to support R&D, dynamic environment said Joshua Ofman, SVP, Global Value, Access, Amgen

  47. Awardee of Leadership in PM, Illumina, HC system not yet ready for Precision Medicine

  48. Amgen and Harvard Pilgrims interpretation of Values related to partnerships: Novartis

  49. at Illimina – Consumer Advocacy added to Technology breakthroughs in genome sequencing said Jay T. Flatley, M.S., Executive Chairman, Illumina

  50. National Genomic Service – Sequencing becoming STANDARD of Care, phynotypes, $10 million to be spent NIH said Jay T. Flatley, M.S., Executive Chairman, Illumina

  51. 13th Annual Leadership in Personalized Medicine Award AWARDEE | Jay T. Flatley, M.S., Executive Chairman, Illumina

  52. 13th Annual Leadership in PM Award to Jay T Flatlet, Illumina

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LIVE Day Two – 13th Annual Personalized Medicine Conference, From Concept to the Clinic, November 14–16, 2017, Joseph B. Martin Conference Center, Harvard Medical School, 77 Avenue Louis Pasteur Boston, MA 02115

 

JOSEPH B. MARTIN CONFERENCE CENTER

HARVARD MEDICAL SCHOOL, BOSTON, MA 02115

http://www.personalizedmedicinecoalition.org/Userfiles/PMC-Corporate/file/13th_Annual_PM_Conference37.pdf

Leaders in Pharmaceutical Business Intelligence (LPBI) Group, Boston

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will cover in REAL TIME the 13th Annual Personalized Medicine, From Concept to the Clinic, November 14–16, 2017, Joseph B. Martin Conference Center, Harvard Medical School, 77 Avenue Louis Pasteur Boston, MA 02115

In attendance, covering LIVE using Social Media

Aviva Lev-Ari, PhD, RN

Editor-in-Chief

http://pharmaceuticalintelligence.com

@pharma_BI

@AVIVA1950

#PMConf

Agenda · Part II  NOVEMBER 16, 2017 · CONFERENCE PROGRAM | AGENDA

7:00 am Registration and Breakfast

8:00 am Opening Remarks

SPEAKER | Stephen L. Eck, M.D., Ph.D., President, CEO, Aravive Biologics; Board Chairman, Personalized Medicine Coalition

  • 2005 at Pfizer new initiative on Personalized Medicine
  • Left to go to Lilly – not to give a drug to  Patients with KRAS mutation – beginning of PM
  • Laxo – A molecular target to be found by diagnostics TEST  — as a basis to develop a drug
  • Pricing and value – dimensions of Value to society
  • How PM is done today

8:10 am Clinical Adoption of Personalized Medicine: A Two-Part Discussion Pioneering health care providers have begun to explore the business models, operational processes, IT infrastructure and educational programs that are needed to catalyze the paradigm shift toward personalized medicine. This two-part session on clinical adoption will examine the strategic and day-to-day challenges clinical organizations face as they seek to integrate personalized medicine in clinical settings — and the solutions they employ to address those challenges.

SESSION CHAIR | Marcia A. Kean, M.B.A., Chairman, Strategic Initiatives, Feinstein Kean Healthcare

Discussion Part 1

8:15 am The Case for Personalized Medicine in the Clinic: The View From the Corner Office Inspiring an organizational commitment to a new way of practicing medicine requires visionary leadership. This fireside chat will highlight the viewpoints and approaches of leaders who are spearheading efforts to adopt personalized medicine at clinical institutions, with an eye on the value proposition for changing existing norms and practices.

MODERATOR | Howard L. McLeod, Pharm.D., Medical Director, The DeBartolo Family Personalized Medicine Institute, Chair, Department of Individualized Cancer Management, Senior Member, Division of Population Sciences, Moffitt Cancer Center; Board Member, Personalized Medicine Coalition

Jeffrey R. Balser, M.D., Ph.D., Dean, Vanderbilt University School of Medicine; President, CEO, Vanderbilt University Medical Center, Nashville, TN

  • Vanderbilt University Medical Center [$500 Million in Grants] is a HealthCare System, split from Vanderbilt University School of Medicine [1200 Medical Residents], now they are like Partners
  • BioMedical Informatics very strong at Vanderbilt University School of Medicine
  • Jeffrey R. Balser, M.D., Ph.D. was first student of Dan, A pioneer in Personalized Medicine
  • PM and Non-Oncology: PLAVIX – DSS when MD order drugs DSS trigger No PLAVIX to this patient, made second decision in real time by MDs
  • Nashville – four flagship hospitals, largest HMO not for profit in the country
  • PM at Vanderbilt University Medical Center – 25 drugs – given ONLY after Genomic sequencing
  • Millianlian Diabetics NOT on Medicare, Analytics: iPhone telling patient what dishes to order since SYSTEM KNOWS BLOOD SUGER 24×7 – target care by Analytics
  • Genomics paid by NIH
  • PM Analytics is built at Vanderbilt University Medical Center said Jeffrey R. Balser, M.D., Ph.D., Dean, Vanderbilt University School of Medicine; President, CEO, Vanderbilt University Medical Center
  • what is the economics benefit of Genomic sequencing: DSS on Drugs – Peterson is documenting drug class by economic benefit – bundle to show value
  • Genomics based PM is on drugs — polimorthism – this drug will not work
  • Disease counseling is harder than drug = wellness strategy is the Fututre
  • Genomics based PM to be turned into Wellness Strategy – the path not yet knows said Jeffrey R. Balser, M.D., Ph.D., Dean, Vanderbilt University School of Medicine; President, CEO, Vanderbilt University Medical Center, Nashville, TN
  • Research Investment is R&D, decisions made to guide all research and investment in PM initiative – not generating money. Pilot studies leads to grants. One study is on Economic benefit of PM

Ronald A. Paulus, M.D., M.B.A., President, CEO, Mission Health, NC, ex-Geisinger, CIO

  • 8 most western counties in NC
  • small group of Genetists:
  1. PM and Oncology and – Cancer therapy from a Genomics stand point
  2. PM and Non-Oncology – Drug-Drug interactions
  3. Clinicians needs actionable information
  4. Primary care practices to adopt PM – HOW, where, why? what will be out of pocket expense to the individual
  5. subsidization is a must
  6. payment dominates delivery of care, future PM from Genomics cost to patients
  7. Transform acceptability of PM suggested Ronald A. Paulus, M.D., M.B.A., President, CEO, Mission Health, NC, ex-Geisinger, CIO

Discussion Part 2

9:00 am Practicing Personalized Medicine: Lessons From the Front Lines To successfully integrate personalized medicine into a health system, administrators and clinicians must also design and implement new processes related to program infrastructure and informatics; help educate physicians and patients about the field; and inspire cultural change within the institution. During this panel discussion, a group of early adopters will share lessons learned from implementing pilot programs across the United States.

MODERATOR | Daryl Pritchard, Ph.D., Senior Vice President, Science Policy, Personalized Medicine Coalition

Bonnie J. Addario, Founder, Chair, Bonnie J. Addario Lung Cancer Foundation; Board Member, Personalized Medicine Coalition; Lung Cancer Survivor

Scott A. Beck, M.B.A., Administrator, Center for Individualized Medicine, Mayo Clinic, MN, AZ

  • PM, Genomics sequencing, BioEthics, IT, Translational Perspective in Epi-genomics,
  • Discovery to Translation Applicattions
  • Pharmacy- Formulary – EMR – Champions from Disease areas to practice environment
  • Testing offering, approve value
  • 25 Projects: PharmacoGenomics Testing to patients, change drug before repeat endoscopy

Timothy Cannon, M.D., Clinical Director, Inova Schar Cancer Institute Molecular Tumor Board

  • 5 hospital in VA,
  • Precision Genomics Cancer Therapy
  • Poor understanding of molecular results by MDs, Refractory Patients – no Forum to discuss other options
  • Molecular Tumor Board for Inova Health System: 220 patients presented beyond Inova
  • Oncologists had concerned that patients are aware of drug that MD can’t deliver to client

Peter Hulick, M.D., M.M.Sc., Medical Director, Center for Personalized Medicine, NorthShore University HealthSystem

  • 4 hospitals – 950 MDs
  • PCP to get engaged
  • Neurology
  • Genetic Assessment tool DSS offers PCP option for electronic ordering of the Genetic Testing, Results appear in Patients’ charts
  • Proactive testing
  • 20,000 patients in the system to be tested for pharmaco-genomics testing

Marc S. Williams, M.D., F.A.A.P., F.A.C.M.G., F.A.C.M.I., Director, Genomic Medicine Institute, Geisinger – Central PA

  • 30% of providers are Geisinger the rest are not
  • Genomics: PM — Microbiome bank – broad user consent: recontact and return results
  • Genomics Medicine Institute – 2014 Partnership with Regeneron – genomics sequencing and profiling — all result to be used by Geisinger
  • 170,000 patient consented – 90% responded, 8,000 sequences available
  • 80 gene with potential actionability – interpretation by Scientists
  • Pathologic calls return results –
  • Clinical Genomics vs Physician specialist (i.e.,hypercholestoralemia), both in same place – paper and EMR
  • Outcomes – tracking patients over decades – systems in place to capture the data
  • Virtual Cycle Clinical data – dashboards were created to deliver results per week.
  • 1/2 people do not need criteria
  • Geisinger will disseminate internationally

10:15 am Networking Break (sponsored by Moffitt Cancer Center)

10:45 am Harvard Business School Case Study — Intermountain Healthcare: Pursuing Precision Medicine Intermountain has a long history of being at the forefront of health care quality improvement and the development of treatment protocols. In 2013, Intermountain Precision Genomics (IPG) was started with Dr. Lincoln Nadauld as its Executive Director. IPG focused on stage 4 cancer patients and performed three distinct functions: genomic sequencing, interpretation of sequencing results with recommendations for precision therapies, and drug acquisition and reimbursement. A paper published in February 2017 reported that in addition to having a higher quality of life, patients who received the targeted therapies had progression-free survival rates of almost twice as long as other patients. The purpose of our case discussion will be to assess these efforts, to consider their broader applicability and to review IPG’s plans for the future.

PRESENTER | Richard Hamermesh, D.B.A., Co-Faculty Chair, Harvard Business School Kraft Precision Medicine Accelerator

12:00 pm Overview of the International Landscape for Personalized Medicine

PRESENTER | Kristin Pothier, M.S., Global Head, Life Sciences, Parthenon-EY

  • Precision Medicine in the Globe – stackholder ecosystem
  • India
  • Latin America
  • USA
  • Africa
  • EU
  • APAC
  • Middle East

Regional Spotlight:

China – strength emerging 1.4 Billion people, 4.2 million annual incidence of Cancer – systemic challenges will limit access

Brazil – 440,000 cancer incidents a year, 207 Million Corporate, Hospital, Government, Academic research, collaboration vs competition, collaboration will win

Dubai – 28.5 Million population

Qatar

UAE – Initiative to sequence the entire population, 6,000 done

Saudi Arabia

Middle East – 0.4 oncologist for 100,000

Summary – Unmet need, commitment is there, innovation and connectivity drive access, collaboration not competition – helps Precision medicine in emerging nations. Access to PM anywhere in the world suggested Kristin Pothier, M.S., Global Head, Life Sciences, Parthenon-EY

12:30 pm Bag Lunch

1:30 pm Personalized Medicine at FDA: An Inside Look at the Agency’s Priorities for the Field

INTRODUCTION | Cynthia A. Bens, Vice President, Public Policy, Personalized Medicine Coalition

KEYNOTE | Sean Khozin, M.D., M.P.H., Associate Director (Acting), Oncology Center of Excellence, FDA

  • Advances of technology of biomarkers, disease indication
  • Accelerated approval by FDA a collaborative of speeding the process
  • companion diagnosis assays and drug or biologics
  • FDA considers N of One, small samples, EGFR drug was approved in 2 1/2 years since Phase 1 of NDA
  • New trial designs: reduce bias and alternative end points
  • narrow criteria for participation, more personalized and more patient-centered
  • innovation INFORMS at NIH Center of Excellence – data collection and analysis of multiple data types
  • Biometric sensors collecting data on cancer patients
  • collaboration with Academia, single arm vs randomized, decentralized
  • devices are collecting data in clinical trials
  • 21st Century – metastatic solid tumors – 900 patients: accommodated plan
  • Lab developed Tests: new approach
  • Efficiency, transparency

2:00 pm The Patient Perspective on Personalized Medicine

INTRODUCTION | Susan McClure, Founder, Publisher, Genome magazine; Board Member, Personalized Medicine Coalition

  • Precision medicine and relevant information for Patients
  • Genomic sequencing is the Opening Gate to PM

KEYNOTE | Bryce Olson, Global Marketing Director, Health and Life Sciences Group, Intel Corporation

  • genome sequencing found his Pi3K Pathway – PIK3CA p.E54 – Anti Inhibitor for Pi3K = Precision Medicine

2:30 pm Patient 2.0: Exploring the Future of Personalized Medicine Many observers speculate that the coming wave of gene editing, gene therapy, direct-to-consumer genetic tests and the personalized use of wearables will change the psychology, sociology, economy and efficacy of health care. Informed by the previous panel discussions, this conversation will examine the future of personalized medicine and the merits of these emerging trends.

MODERATOR | Robert C. Green, M.D., M.P.H., Director, Genomes2People Research Program, Professor of Medicine (Genetics), Brigham and Women’s Hospital, Broad Institute and Harvard Medical School

  • Neurologist first , Geneticist thereafter
  • Platinum vs gold standard
  • 59 genes will identify 80,000 will get the disease and 47,000 will never get the disease
  • is the technology the reason for investment vs Family history
  • pharmacogenomics can harm, if odds are so low than adherence will be lower

Sandro Galea, M.D., M.P.H., Dr.P.H., Dean, Robert A. Knox Professor, School of Public Health, Boston University

  • Skeptical of societal aspects: race, 50% of the country health getting better vs 50% getting worse but enthusiast on technology
  • US expense on Health care the highest in the World comes on the expense of housings, mental health, education – curative vs preventive care
  • MDs are insentiviced to keep patients sick
  • Folic Acid
  • Nudge behavior
  • invest in long livivng

Tom Miller, M.S., Founder, Managing Partner, GreyBird Ventures LLC

  • duty to call up therapies that will not work, balance addressed by PM – diagnostics in PM
  • clinical utility from patient selection for the therapy the patient will respond to
  • fantasy: Medical decision making to be made to avoid un neccesary care

Michael Snyder, Ph.D., Stanford W. Ascherman Professor, Chair, Department of Genetics, Director, Center of Genomics and Personalized Medicine, Stanford University School of Medicine

  • Personal sequencing for multiple etiologies
  • rich people come to get sequenced
  • libraries
  • Providers to be incentivized if patients are health

3:30 pm Closing Remarks

SPEAKER | Edward Abrahams, Ph.D., President, Personalized Medicine Coalition

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LIVE Day One – 13th Annual Personalized Medicine Conference, From Concept to the Clinic, November 14–16, 2017, Joseph B. Martin Conference Center, Harvard Medical School, 77 Avenue Louis Pasteur Boston, MA 02115

 

JOSEPH B. MARTIN CONFERENCE CENTER

HARVARD MEDICAL SCHOOL, BOSTON, MA 02115

http://www.personalizedmedicinecoalition.org/Userfiles/PMC-Corporate/file/13th_Annual_PM_Conference37.pdf

Leaders in Pharmaceutical Business Intelligence (LPBI) Group, Boston

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will cover in REAL TIME the 13th Annual Personalized Medicine, From Concept to the Clinic, November 14–16, 2017, Joseph B. Martin Conference Center, Harvard Medical School, 77 Avenue Louis Pasteur Boston, MA 02115

In attendance, covering LIVE using Social Media

Aviva Lev-Ari, PhD, RN

Editor-in-Chief

http://pharmaceuticalintelligence.com

@pharma_BI

@AVIVA1950

#PMConf

Agenda · Part I  NOVEMBER 15, 2017 · CONFERENCE PROGRAM | AGENDA

7:00 am Registration and Breakfast

8:00 am Opening Remarks SPEAKER | Edward Abrahams, Ph.D., President, Personalized Medicine Coalition

  • 13th Annual PM Conference at HMS
  • Paradigm shift from One medicine FITS ALL – 13 years ago was a promise in 2017 it is a REALITY
  • Liquid biopsies, read and write gene therapy
  • Value, Pricing, Access
  • Evidence for reimbursement and FDA directions
  • Introduction od PM to the Clinic
  • Case study on Value and Healthcare System
  • Future of PM Stanford, BU, Investor
  • Translation to Chinese, 50 guests from 20 countries and 21 from CA

 

8:10 am The State of Personalized Medicine

INTRODUCTION |

Steven D. Averbuch, M.D., Head, Precision Medicine Research & Development, Bristol-Myers Squibb; Board Member, Personalized Medicine Coalition

  • Known Tom for few decades, collecting tissue on lung cancer.
  • EGFR – discovered at HMS

KEYNOTE |

Thomas J. Lynch, Jr., M.D., Executive Vice President, Chief Scientific Officer, Research & Development, Bristol-Myers Squibb

  • Apply right drug to right patient
  • Gefitinig (AstraZeneca) vs Carboplatin/Paclitaxel – lung cancer – advanced NSCLC
  • Gene mutation – EGFR negative vs Positive – cost of sequencing inverse to Moore’s Law
  • Genome Sequenced at <$1,000
  • Lung Adenocarcinoma: 2016: PIK3CA, KRAS, BRAF
  • 2015NEJM – Design drugs: Resistance mutation vs. negative – no mutation EGFR
  • Immune -Biology of Cancer is Complex – Tumor, Effector Cells, Immune regulatory & APGs
  • NEXT opportunities: Novel I-O mechanisms, patient selection is key
  • Biomarkers: PDL-1, MSI – H Tumor mutation Burden (TMB) LAG-3
  • Future: Gene signature
  • Pembrolizumab Free survivsls – 50%
  • BMS – FoundationOne – calibration used by BMS: Mutational Burden: FoundationOne assey: Exploratory analysis: High TMB (Nivoluman vs Chemo, Nivo id bettervs LowTMB
  • Combination Drug Therapy: Nivo +Ipi
  • Assessment of TMB: coding regions of 21K genes: WES vs FoundationOne (F1)
  • TMB in Blood (bTMB) in 2L + NSCLC (POPLAR and OAK)
  • bTMB <16 vs bTMB >16
  • PM – molecular profiling of Hundreds of Cancers and PM of drug treatment driven by molecular profiles
  • F1 is promising

8:40 am 13th Annual Leadership in Personalized Medicine Award

AWARDEE | Jay T. Flatley, M.S., Executive Chairman, Illumina

  • Precision Medicine – still inpact is limited
  • Regulatory and Reimbursement are BARRIERS in the HealthCare system,
  • Kidney Cancer treated off-label – great
  • less 10% of tumors have been sequenced, sufficient tissue needed, physician voted not to sequence deeming it un-actionable
  • Cystic Fibrosis – only sequencing lead to FDA approval, POST marketing required significant resources
  • Translational researchers validated 200 genes
  • 400 genes at FoundationOne
  • DIagnostics companies – reimbursement process is TOO LONG
  • Regulatory – emerging diagnostics: Product in use in clinical trials
  • Risk models to be shared with Diagnostics companies – reimbursement at end of period when results are available
  • Blockchain technology is promising for handling data
  • Rare diseases in Cancer  – One milion genomes sequenced
  • National Genomic Service – Sequencing becoming STANDARD of Care, phynotypes, $10 million to be spent NIH said Jay T. Flatley, M.S., Executive Chairman, Illumina
  • at Illimina – Consumer Advocacy added to Technology breakthroughs in genome sequencing said Jay T. Flatley, M.S., Executive Chairman, Illumina

9:10 am Networking Break

9:35 am Progress in Partnerships: A Two-Part Discussion Aligning the constructs of the health system with the principles of personalized medicine will require stakeholders to scale the most promising cross-sector partnership models. This series of conversations will examine the potential of several of the most promising models that have emerged thus far.

Discussion

Part 1 9:35 am A Model for Risk-Sharing Agreements Between Payers and the Pharmaceutical Industry Many payers are reluctant to assume that covering personalized medicines will help mitigate costs associated with major medical events that require hospitalization. During this fireside chat, however, representatives from Amgen and Harvard Pilgrim Health Care will discuss the logic and implications of their groundbreaking agreement to share the financial risks of covering a targeted medicine based on that premise. Under the terms of the agreement, Amgen agreed to cover treatment costs for patients who have a heart attack or stroke while taking its personalized therapy for familial hypercholesterolemia.

MODERATOR | Meg Tirrell, M.S.J., Reporter, CNBC

Joshua Ofman, M.D., M.S.H.S., Senior Vice President, Global Value, Access and Policy, Amgen

  • Hyperlipidemia – Partnering, Amgen with Harvard Pilgrim Health Care
  • Arrangements: Patients who need the medication will get access to the medication
  • effective stuards: Co-Pay not too high, replacement of medication by generics
  • Medicare has requirements
  • Migraine medications are coming out from Amgen – novel payment
  • Combination drug therapy – Payment system not ready for it yet
  • 3D BioPrinting of Drugs and the innovation storm of agents — are both benefits, value based pricing, elasticities, is that price sufficient to support R&D, dynamic not linear environment said Joshua Ofman, M.D., M.S.H.S., Senior Vice President, Global Value, Access and Policy, Amgen

Michael Sherman, M.D., M.B.A., M.S., Chief Medical Officer, Senior Vice President, Harvard Pilgrim Health Care; Board Member, Personalized Medicine Coalition

  • complications,  cost, outcome work vs does not work
  • Gene therapies coming from Novartis and Partnership with Harvard Pilgrims
  • Value proposition for one drug and one cancer – to assure access Pharma and Payers Partnership
  • Drug and Outcome, high cost drug coming, very expensive, life saver for who needs them

Discussion

  • Pharma’s revenue stream is international, it is in the US that payers require Value

 

Part 2 10:05 am Models for the Development of Personalized Medicine Diagnostics Pharmaceutical and diagnostics companies have responded to a host of complex scientific, regulatory and reimbursement challenges partly by developing innovative partnership models around companion diagnostics. This panel discussion will feature representatives from the pharmaceutical and diagnostics industries, who will discuss the challenges partnerships have helped industry overcome as well as the obstacles that continue to inhibit the development of the diagnostic tools upon which personalized medicine depends. Agenda ·

 

MODERATOR | Alexander Vadas, Ph.D., Managing Director, L.E.K. Consulting

Joydeep Goswami, Ph.D., M.B.A., M.S., President, Clinical Next-Generation Sequencing, Oncology, Thermo Fisher Scientific

  • monitor disease , biopsy changes in 6 month and repeat is needed
  • NGS – results come back in a month what the mutation mean? NOW results come in few days, data analysis  assist the MDs for action in treatment said Joydeep Goswami, Ph.D., M.B.A., M.S., President, Clinical Next-Generation Sequencing, Oncology, Thermo Fisher Scientific
  • How to accelerate the need for safety and the avalangue of innovations
  • Clinical sense vs research context, FDA is more comfortable with other than oncology products beyond drugs, namely diagnostics

Jacob S. Van Naarden, Chief Business Officer, Loxo Oncology

  • Increase in need of drugs in NGS World, Tissue agnostics, ALL the drugs and all the tumors
  • reduction in cost with technology, can’t be too expensive,
  • LOXO drug development  – each testing addresses a focused medical issue  – cancer alterations  for ALL extremely aggressive cancer
  • DNA and RNA based events detected by tools
  • cost of test need to be low, Reference Labs need to collaborate to standarize technology and explain to the Payers
  • Cost of CT Scan vs an NGS Test – Genomic testing is much cheaper said Jacob S. Van Naarden, Chief Business Officer, Loxo Oncology
  • Educational

10:35 am Real-World Personalized Medicine: Examining the Role of Real-World Evidence in Personalizing Health Care FDA has offered a definition of real-world evidence, but the community continues to debate what is needed to fully integrate it into decision-making. This panel will explore what real-world evidence is, how it is being used and what regulatory requirements are needed to realize its potential.

MODERATOR | Amy Abernethy, M.D., Ph.D., Chief Medical Officer, Chief Scientific Officer, Flatiron Health; Board Member, Personalized Medicine Coalition

  • Collection of evidence to accelerate from lab to the Clinic
  • use data sets prospective vs retrospective studies asked Amy Abernethy, M.D., Ph.D., Chief Medical Officer, Chief Scientific Officer, Flatiron Health; Board Member, Personalized Medicine Coalition

Sean Khozin, M.D., M.P.H., Associate Director (Acting), Oncology Center of Excellence, FDA

  • 3/2017 established to have an integrative approach by FDA – real world dat ais important to FDA
  • Drug approved for one indication, provide new data for supplemental indications said Sean Khozin, M.D., M.P.H., Associate Director (Acting), Oncology Center of Excellence, FDA
  • co-morbidities cause EXCLUSION from clinical trials, i.e., HIV patients, experience of patients excluded to learn how differently they can be treated
  • drafting a document on Verify data integrity in clinical trials, detect discrepancies compromise the integrity of the data – audits by FDA said Sean Khozin, M.D., M.P.H., Associate Director (Acting), Oncology Center of Excellence, FDA
  • Validation of devices- FDA Innovation Initiative,

Eric G. Klein, Pharm.D., Senior Director, Oncology, Global Patient Outcomes and Real-World Evidence, Eli Lilly and Company

  • Aggregate burden of disease, existence of co-morbidities
  • Why it was occurring – Genomics: WHY is explained – precise tools
  • data vs intelligence – interoperability
  • Past clinical trial – replicate studies with retrospective data
  • finding the responding patients – pragmatic trial, not randomized, collect end point – very expensive and requires statisticians
  • end pint definition changed

Eleanor M. Perfetto, Ph.D., M.S., Senior Vice President, Strategic Initiatives, National Health Council

  • How patients  wish to see usage of their experience – how side effect information can be used.
  • New indication
  • reimbursement
  • improved used of existing drug higher rating vs new indications
  • clinical trial design gets input from patients, Patient can announce, dropping participation if a change is not made

Deborah Schrag, M.D., M.P.H., Chief, Division of Population Sciences, Medical Oncology, Dana-Farber Cancer Institute

  • Major gene mutation and Drugs
  • Drug exposure correlate with evidence, Worldwide,
  • linkages vs computational techniques we do not have consistent data, data structured or not, respond to medication: symptoms, prospects vs Vital sign or WBC count – we have data standardization is evolving said Deborah Schrag, M.D., M.P.H., Chief, Division of Population Sciences, Medical Oncology, Dana-Farber Cancer Institute
  • clinical decision support what is structured is data upon admission, monitoring the drugs given in this period, turning to patients willing to offer feedback and cooperate
  • pre-existing autoimmune disease – not indicated for them Immunotherapy even though patients wish to try said Deborah Schrag, M.D., M.P.H., Chief, Division of Population Sciences, Medical Oncology, Dana-Farber Cancer Institute
  • Standards: Toxicity criteria – library of 882 symptoms, Patient reported outcomes by Patients, Resist  criteria applied to imaging data criteria for brain tumors said Deborah Schrag, M.D., M.P.H., Chief, Division of Population Sciences, Medical Oncology, Dana-Farber Cancer Institute
  • Physicians needs interfaces, dashboard information delivered to MDs, data sits unused, new tools are needed for the data display by relevance to the MDs
  • Patients input and sophistication increased – IRB is not aware of the engagement of Patients and their challenging feedback say Deborah Schrag, M.D., M.P.H, Dana Farber

11:50 am Luncheon

1:00 pm The Designer Genome: Exploring the Implications of Gene Editing and Gene Therapy for the Future of Medicine and Humanity Many scientists believe the clustered regularly interspaced short palindromic repeats (CRISPR) genetic engineering tool and recent developments in gene therapy will dramatically alter the trajectory of medicine, but the specific implications of these developments for health systems around the world remain unclear. During this session, a panel of experts will discuss the status of these new technologies and how the medical community and regulatory agencies may have to adapt to keep up with forthcoming developments.

MODERATOR | Kevin Davies, Ph.D., Co-Author, DNA: The Story of the Genetic Revolution (with Jim Watson and Andrew Berry); Executive Editor, The CRISPR Journal

Katrine Bosley, CEO, Editas Medicine

  • spectrum of ease to correct a mutation, some mutation are easier than others for editing,
  • understand well enough  the gentic application where CRISPR will assist medicine: Retinal degeneration, two aspects one worked in Japan said Katrine Bosley, CEO, Editas Medicine

Arthur L. Caplan, Ph.D., Drs. William F. and Virginia Connolly Mitty Chair, Director, Division of Medical Ethics, New York University Langone Medical Center

  • Bioethics, super babies, engineering embrios,
  • Regulatory oversight on engineering embrios is coming, metric of success in recruitment of patients said Arthur L. Caplan, Ph.D., Drs. William F. and Virginia Connolly Mitty Chair, Director, Division of Medical Ethics, New York University Langone Medical Center
  • cell repair is cheaper that transplantation,
  • clone of super person next door
  • Bioterrorism accomplished by gene engineering !!

George M. Church, Ph.D., Professor of Genetics, Health Sciences and Technology, Harvard-MIT Division of Health Sciences and Technology; Director, Harvard Medical School NHGRI-Center of Excellence in Genomic Science; Director, Harvard Medical School Personal Genome Project; Founding Member, Wyss Institute for Biologically Inspired Engineering at Harvard University

  • Delivery, more precise,
  • Longevity and aging – one blockbuster is needed
  • Engineered mutation, machine learning
  • CRISPR does not handle all mutation many require a different editing tool said George M. Church, Ph.D., Professor of Genetics, Health Sciences and Technology, Harvard-MIT Division of Health Sciences and Technology; Director, Harvard Medical School NHGRI-Center of Excellence in Genomic Science; Director, Harvard Medical School Personal Genome Project; Founding Member, Wyss Institute for Biologically Inspired Engineering at Harvard University
  • over regulation – Do not touch germ line – is not desired
  • Transplantation vs enhancement – resistance to senescence and pathogens to be achieved by gene editing suggests George M. Church, Ph.D., Professor of Genetics
  • Bringing back genes – elephants with fur

Jeffrey D. Marrazzo, M.B.A., M.P.A., CEO, Spark Therapeutics

  • Retina degeneration causes blindness, deliver drug to back of the retine, inject genetic material and achieved remarkable results, drug approval of genetic therapy in the US for a genetic disorder in Retina causing blindness
  • 21st Century schema of Payment and benefits

 

2:15 pm Pricing Personalized Medicines The increasing pressure on industry stakeholders to alter their drug pricing practices has particular significance for personalized medicines, which must recoup research and development costs from smaller patient populations. This conversation will explore the pharmaceutical industry’s strategies for facilitating sustainable access to these innovative therapies.

MODERATOR | Meg Tirrell, M.S.J., Reporter, CNBC

Stephen J. Ubl, President, CEO, PhRMA

  • minimum 10% invested in R&D at each Pharma
  • Of 134 drugs in development – 42 have the potential to become Personalized medicine therapies, said Stephen J. Ubl, President, CEO, PhRMA
  • Icer methodology – average patient aggregate data, value pricing is a better model: RA targeted to subset of patients
  • Price gauging is a problem – bring solutions to the table, Patients asks for incentives
  • amortizing costs like mortgage
  • Outcome-based arrangements: If money-based guaranteed it negate Medicaid negotiation power. If transportation is covered – it leads to locking product in use

2:45 pm Networking Break (sponsored by GreyBird Ventures)

3:15 pm Precision Valuation: A Discussion of How Value Assessment Frameworks Can Account for Personalized Medicine Payers control access to personalized medicine, and some have begun to take an interest in findings from value assessment frameworks that are challenged to account for developments in the field. In addition to exploring their potential impact on individualized care, this session will examine how value assessment frameworks can and should consider personalized medicine as part of their processes for evaluating therapeutic options.

MODERATOR | Jennifer Snow, M.P.H., Director, Health Policy, Xcenda, AmerisourceBergen

  • Quality Era moved to Value Era

 

Dane J. Dickson, M.D., CEO, Founder, CureOne (formerly MED-C); Director, Precision Medicine Policy and Registries, Knight Cancer Institute at Oregon Health and Science University

Molecular Era

  • NEJM, 2017, 377, 1813-1823
  • BRAF in Melanoma – 80% do not need additional therapy vs 20% benefitted in the Non-Molecular Era

data by Dane J. Dickson, M.D., CEO, Founder, CureOne (formerly MED-C); Director, Precision Medicine Policy and Registries, Knight Cancer Institute at Oregon Health and Science University

 

Robert Dubois, M.D., Ph.D., Executive Vice President, Chief Science Officer, National Pharmaceutical Council

  • Value Assessment and PM: ACC, ASCO, ICER< Memorial Sloan,
  • The patient: survival, QOL, Adverse events, Out of pocket cost, extra survival by disease, treatment burden,
  • PAYERS: One size does not fit all – AVERAGE is meaningless
  • MDs vs Patients – are different in preference

Andrea Stern Ferris, M.B.A., President, Chairman of the Board, LUNGevity Foundation

  • PATIENT to be included in the conversation

Steven D. Pearson, M.D., M.Sc., Founder, President, Institute for Clinical and Economic Review (ICER)

  • Precision Medicine vs Value Assessment
  • Novartis CAR-T Kymriah:  relapsed B-cell precursor ALL under 25 – 5 yr survival – 10%
  • Changes associated with Gene therapies: single arm trials, surrogate outcomes, less certainty safety and benefits
  • Gene therapy – >> innovations Kymriah – $475,000 price
  • Long term value for money vs Short term affordability

PRICE-based on Value – discount from prices after rebate to meet ICER value-based Price range

  • More targeted = higher value more favorable cost-effectiveness
  • Rare/ultra-rare populations: broader value range:
  1. Use EARLIER
  2. will it work for patients without genetic marker?
  • Years of Life weighted by an INDEX of quality of life (1=perfect health;  0=dead)
  • willingness to pay: WHO and ACC: 1-3x
  • individual x2 salary
  • Opportunity cost x1 per capita GDP in UK
  • Future of value assessment and precision medicine
  • CURES – CAR-T are they cures???
  • A teen-ager’s Value-based Price: $475,000 x years lived suggestsSteven D. Pearson, M.D., M.Sc., Founder, President, Institute for Clinical and Economic Review (ICER)

4:30 pm The Utility Proposition: An Analysis of Case Studies in the Economic Value of Personalized Medicine Although personalized medicine’s proponents contend that the field can deliver economic value by helping doctors avoid prescribing costly but ineffective therapies, the field lacks literature testing that hypothesis. This session will highlight recent studies on the clinical and economic value of personalized medicine, shedding light on what we know about personalized medicine’s clinical and economic utility — and what we don’t.

MODERATOR | Michael Pellini, M.D., M.B.A., Chairman, Board of Directors, Foundation Medicine; Board Member, Personalized Medicine Coalition

  • we know there is value in Personalized Medicine
  • we need to work together to acknowledge the challenges — to prove the value in PM

Lincoln Nadauld, M.D., Ph.D., Executive Director, Precision Medicine, Precision Genomics, Intermountain Healthcare

  • Interpretation by Medical Oncologists beyond: KRAS, BRAF
  • Measuring the value and presenting that to the payers and inside the organizations
  • 2013 –

David B. Roth, M.D., Ph.D., Simon Flexner Professor Chair, Pathology and Laboratory Medicine, Perelman School of Medicine at University of Pennsylvania; Director, Penn Center for Precision Medicine

  • 5000 patients underwent genome sequencing
  • Interpretation is the issue that is hard
  • Health IT are still in silos: Pharmacy data, financial data, EMR are not integrated yet
  • Survival of patient with mutation and targeted drug LIVE LONGER

Lotte Steuten, Ph.D., M.Sc., Associate Faculty Member, Hutchinson Institute for Cancer Outcomes Research (HICOR), Fred Hutchinson Cancer Research Center; Affiliate Associate Professor, Pharmaceutical Outcomes Research and Policy Program, School of Pharmacy at University of Washington, Seattle

  • aggregate big data , models as evidence, has value to clinical, the model under development NGS Profile of Patient vs current standard of care. Model Payer advisor committee, Oncologist Advisory Committee great benefit to PM on the cost side data is for targeting treatment using the promise of PM

5:45 pm Elements Café Cocktail Reception

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17th Annual EmTech @ Media Lab, MIT – November 7 – 8, 2017, Cambridge, MA – This Year’s Themes, Speakers and Agenda

Article ID #243: LIVE Day Two and Day One – 17th Annual EmTech @ Media Lab, MIT – November 7 – 8, 2017, Cambridge, MA – This Year’s Themes, Speakers and Agenda. Published on 9/8/2017

WordCloud Image Produced by Adam Tubman

MIT Media Lab
Building E14
75 Amherst Street 
(Corner of Ames and Amherst)

Themes:

  • Business Impact
  • Connectivity
  • Intelligent Machines
  • Rewriting Life
  • Sustainable Energy
  • Meet the Innovators Under 35

Leaders in Pharmaceutical Business Intelligence (LPBI) Group, Boston

pharma_bi-background0238

will cover in REAL TIME

The 17th annual EmTech MIT – A Place of Inspiration, November 7 – 8, 2017, Cambridge, MA

 

MIT Technology Review’s EmTech conference

 

In attendance, covering LIVE using Social Media

Aviva Lev-Ari, PhD, RN

Editor-in-Chief

http://pharmaceuticalintelligence.com

@pharma_BI

@AVIVA1950

#emtechmit

@techreview

 

https://events.technologyreview.com/emtech/17/?utm_medium=email&utm_source=press_list&utm_campaign=emtech2017&utm_term=conference&utm_content=press_credentials&discount=MEDIAM172B#section-about

 

AGENDA FOR TUESDAY, NOVEMBER 7, 2017

  • 8:00
    Registration & Breakfast
9:00
Opening Remarks – Elizabeth Bramson-Boudreau, MIT TR
  • In Media Lab – MIT and MIT Technology Review was established in 1899
  • EmTech 1999 – 100 years to MIT Technology Review
  • Innovations and pushing the boundaries
  • AI – potential and limitations
  • Climate change requires new technologies
  • Brain Technologies: Biology Vision
  • Tomorrow: emerging technologies: Cybercrime, role of technology
  • Automation and future of work
  • Partners: GE, Lamburghini
  • Lemelson-MIT
  • MITTR – Whova on AppleStore
 
9:15
The State of AI – Andrew Ng, CS.AI, Stanford University – was 2008 Young Innovator,
Founder, Deeplearning.ai; Adjunct Professor, Stanford University
 
  • Trends in AI – AI is the new Electricity
  • Deep Learning & Neural Networks (NN):
  1. Input a picture –>> output: Is it You?
  2. loan application outcome: will you repay (%)
  3. picture from car – Output GPS address –>> Supervised Learning
  4.  doing act in <1 sec of thinking
  5. training SMALL, Medium size very large NN
  6. Algorithm innovations:

Supervised Learning algorithm types:

  • Transfer Learning
  • Unsupervised learning
  • Reinforcement learning – hunger for data: i.e., robotic applications

Importance of Data accumulation for launch a Product –  Users — data growth

  • Shopping Mall + website is not equal an Internet company
  • Internet company:
  1. push data to CEOs
  2. A–B Testing
  3. Short cycle time
  4. Decisions made by PM and ERP

AI era

traditional company + NN not equal AI company

  • Strategic data acquisition
  • Unified data warehouse
  • NEW JOB DESCRIPTIONS
  • Precision automation
  • ORGANIZATION CHART to interface in a matrix with AI Teams – hire Ai in the Business Units
  • Scarce talent of AI

Discussion

  • Children MUST learn to code
  • Human-Computer communication will be by writing code
9:45
Meet the Innovators Under 35
  • Future of work
  • warranted reliant digital connectivity
 
10:30
Break & Networking
 
11:00
AI’s Next Leap Forward

Tomasso Poggio, MIT, CSAIL, BCS

  • Deep learning  – next step
  • Bet on Center Brain Mind Machines (CBMM)
  • Josh Tennenbaum at MIT
  • Autonomous Driving – Amnon Shaashua, MobilEye
  • 20 years @ MI AI: Dailmer and MIT — detection of pedestrans
  • Powerful computers and algorithms – Reinforcement Learning Networks (Brain Science), models of Vision and Deep Learning Networks – WHEN they work?
  • Building Jarvis – a buttler application in AI built by Marc Zukenberg
  • NeuroScience – MobilEye, AlphaGo
  • CBMM – NSF $50 Million in AI funding  – Science of Intelligence and Engineering of Intelligence
  • MIT & Harvard plus several organization
  • Business Partners: MS Soft, Google bought MobilEye,
  • Center for Visual Gaze – 200 msec of visual processing
  • ERGO SUM: toward symbols, Cognitive core, visual system, Brain OS – running routines
  • Breakthroughs: Theory: under which conditions,
  1. Learning theory
  2. optimization Approximation Theory: Deep vs Shallow networks
  3. Intelligence is greatest problem to solve it is like LIFE, Tomasso Poggio, MIT, CSAIL, BCS
  4. machine can help human to think better, long time horizon is needed,

Kris Hammond, Prof. Northtwestern University

  • Data analytics and Ideas
  • words vs language – past, present, future – uniquely HUMAN, now machine language is Human Partner
  • language vs Ideas
  • machines knows a lot
  • facts, dat move to narrative
  • Language is understanding
  • FIN information: Decisions about allocations,
  • Turbidity data on the beach in Chicago: Which Beach is the cleanest vs the dirtiest
  • NARRATIVE ANALYTICS: data that machine can tell us what it has as a story and presented as intelligent language,

    Cognitive Science application to autonomous driving – Yibio Zhau, Tennenbaum Lab @MIT, ISEE.AI, Computer vision, Cognitive Science

  •  interpulate and extrapulate data needed for autonomous driving
  • reasoning beyond the system: Human intelligence , intentional reasoning, pattern recognition,
  • Ali baba – funding building of a Robot for autonomous driving – understanding by imagining – causes for behavior by others
  • ISEE – Next generation of AI — driving drivessless ly for thousands of miles
  • Car to car communication is a sensoring issue, negotiation need to be taught to machines

Young Scientists 35 years old or less

Austin Olson, Luminar – object detection 99% accuracy,

Angella Schoellig — Roborts, Prof. University of Toronto, robots in predictable environments

Lorenz Meier — Vertical Technologies – Drones and safety – DB of flights

12:30
Lunch & Networking
2:00
Adapting to the reality of climate change

Lee Krevat, Sempra –

owns Wind Farms- managing a Grid with renewable energy. Variable – Wind technology wind is variable – if wind blows too much switch to diesel. 100% renewable for one hour on Islands

 
Growth area:
  1. 20 cents diesel, wind is 10 cents help the enviroment

mainland, not yet used, price diesel vs wind

Solar wind generation – next biggest Technology in Energy

 
and
 

Alex Tepper,Avetars

Robotics, Drones, AI and the Future of Energy – A start up incubator sponsored and funded by GE
  • RAIL – Predict derailments
  • OIL & GAS – corrosion is the enemy — knowledge of corosion progression – using AI algorithms

Growth area: Aviation

John Holdren – Harvard University – Government  Role in ENERGY and Climate Change – Obama’s advisor Presidential CSO on Climate and energy

  • mitigation
  • adaptation
  • suffering – shortcomings of mitigation and adaptation
  • harm of business as usual
  • Efficiency standards during Obama Administration, assistance to other countries led to the Agreement in Paris 195 countirs — agreement to reduce emission. China and US declare cooperation on emission of gases into the environment.
  • PRESIDENT TRUMPS CALLED CLIMATE CHANGE A HOAX  – proposed to cut energy R&D
  • All executive orders by Obama – were reverted by Trump
  • Innovations: Electricity from Solar increase and wind as well and batteries
  • Carbon capture and storage – technological challenge
  • Biofuel processing, liquid bio fuel
  • Nuclear innovations to nuclear waste
  • 2100 – 5% on defense and 2% on the environment – model under estimate the contribution of innovations for the long run.
  • 1000 businesses in deployment of technologies

Evelyn wang, MIT – Material Science – Sustainable energy – nano

  • material properties: superior properties of LOW DENSITIES
  • Light manipulation
  • membrane
  • CO2 capture
  • Technologies: Nnao, Thermoelectronics, energy and water
  • Solar 6% and wind 21%, biomass 5%voltaic
  • SOlar eneconversion
  • PHOVOLTAIC: SCALBALE, SOLID STATE, INTERMITTENT, PARTIAL SOLAR SPECTRUMrgy
  • Nanophotonics: Solar energy conversion: photo
  • Nano absorber – area ratio; Emitter: silicon and silicon  – spectral approach
  • potential STPVs
  • Transportation using energy with emission
  • Power consumed by HVAC
  • Thermal Battery for Electric Vehicle: Adsorption Heating and Cooling
  • Desorption vs Adsoption: cooling vs Heating mode
  • High capacity adsobents – Zeolite  MOF enhancing capacity heat and mass transport
  • Tmal Battery Prototype: Hybrid, electric, stationary domestic HVAC.
  • Water harvesting from Air – metal organic Frameworks: Adsorption – harvest water without need of additional electricity
  • Opportunities for Advanced Materials

Prof. David Keith, Harvard University

  • technologies to stop global changing
  • research program
  • stratospheric aerosol cool planet – pollution masking global warming
  • solar geo-engineering, vs emission cut 3x BAU vs business as usual
  • Annual maximal Temperatures, extreme precipitation,
  • carbon emission worm up vs climate risk in Time
  •  use of technology for climate change mitigation: carbon removal
  • Solar engineering is the solution
 
3:30
Break & Networking
4:00
Meet the Innovators Under 35
 

Next Generation Brain Interfaces

Andrew Schwartz, University of Pittsburg

  • Causality is obscure
 
5:30
Lemelson-MIT Prize Honors & Reception
 
Lemelson-MIT Prize Honors Feng Zhang, MIT with the Prize for contributions to CRISPR Applications as a therapeutics method in genomics
 
 

AGENDA FOR WEDNESDAY, NOVEMBER 8, 2017

  • 8:00
    Registration & Breakfast
9:00 Elizabeth Branson
 
9AM – 9:30AM Robots and AI in Everyday Life

Daniela Rus, CSAIL, MIT – Robots: drones, 3D Printing

hosted by David Rotman, MIT TR

  • supply chain and transportation – city will benefit from a different business model
  • autonomous driving deployed in Singapore
  • all vehicles on wheels can be made autonomous
  • blind – camera on a belt assists in navigation
  • ML: Patterns and predictions
  • AI – reasoning
  • robots: motion
  • Machine read entire libraries
  • Radiology: Read by machines vs by Radiology: AI  + Human — 0.5% error
  • Rural area medicine
  • Machines – Better Lawyers: NLP – read precedents to cases, machines can’t write a briefing or defend a plaintif
  • Factory and Automation: Robots roles – enable mass OPTIMIZATION  not only mass production
  • Machines do not have common sense and do not have ability to reason
  • crunching data vs analysis
  • JOB Categories:Tasks vs Professions: Routine data processing and labor task — are ready for automation
  • NEW jobs: User experience designer, GPS enable taxi drivers to drive and drove pay scale down
  • GDP – decreased 1966 – 2016
  • KY school to train coal miners to do data processing to become CODERS
  • JFK – new machines brings man back to jos – new jobs
  • AI supports NEW jobs: CS/AI part of literacy
  • people and machines – in collaboration

discussion

  • Who to make the transition?
  • CODING is key – people must be active in keeping up and continue to train
  • make it easy to make machines, interactions Man-Machine easier,
  • YOU ARE WRONG SIGNAL IS recognized by EEG
  • AI and Future of Work Conference at MIT – anxiety related to job changing due to technology
  • Technology can’t solve all problems, Technology helps, Technology implications on Policy – technology as a unifier societal force not a dividers
  • Transportation as Utility
 

9:30 – 10:00 AI and the Future of Work

Iyad Rahwan, MIT Media Lab, Introduction by Elizabeth Woyke, TR

  • Physical Therapist — will not be replaced by computerisation
  • Probability of computerisation: Skilled cities are better at economics shocks
  • Adam Smith – simple operations
  • Differential Impact from Automation on Cities – the larger the city more resilient to automation
  • City size vs clusters of occupations — cluster grow with city size
  • Impact on Middle Class vs Lower and Upper: low paying jobs, middle and high
  • Skills in Occupations: mapping SkillScape correlations with Education
  • Skills in demand

discussion

  • Urbanization took place – 80% live in cities around the World
  • Outliers in CIties by size and Skills: Boulder, CO – small size very skilled labor, politics support start ups and high tech

10AM – 10:30AM

Meet the Innovators Under 35

  • Tracy Chou – ProjectInclude – diversity
  1. All about data
  • Olga Russakovsky – Princeton University – Computer vision
  • AI for education of under privileged high school
  1. IM-GENET – Data sets encode human biases
  2. AI is powered by Data
  3. AI learns societal  biases
  4. Researchers shape AI
  • 10:30

    Break & Networking

     
  • 11:00 – 11:30 What is Social Media Doing to Society?
 Yasmin Green, Jigsaw, Google
  • 300 million reach of Ads posted by Google in the Internet
  • Fake news
  • Network shape
  • Veracity and popularity personalized
Hosted by Martin Giles, TR
 
  • e 11:30 – 11:45 Meet the Innovators under 35
  • Phillipa Gill  – UMass CS – Project of Network measurement on censorship measurement platforms
  • Joshua Browder – DoNotPay

11:45 – 12:00 The Emerging Threat of Cybercriminal AI

Shuman Ghosemajumder, Shape Security

Hosted by Martin Gile

  • CyberCrime is evolving using AI – Imitation Game – Turing Test restricted Turing Tests
  • Computer vision, Solving CAPUTRE – Copletely Automated Turing  Tests
  • CAPTCHA by Google
  • Credential Stuffing Accounts Attacks – SONY was hacked and 93,000 Passwords stolen
  • Clip Farms at Google
  • BLACKFISH – identify Credential Stuffing Accounts Attacks, all invalid password are not valid to be used by cyber attackers again – that authentication is no longer valid
  • Multi Factors Authentications vs ease of use to Log In
  • Knowledge Basis – Probabilistic  SYmbols – BlackFISH – technological advantage – iPhone stores a math formulation of characteristics of the finger print not the image of the fingure
  •  12:00
    Lunch & Networking – Lamborghini -super sport car
     
1:30 – 2PM
Technology Spotlight: Mind-Controlled VR
Ramses Alcaide, Neurable
Hosted by Rachel Metz, TR
  • Killer Platforme ==>Killer Interaction ==>Killer application
  • Reactive ==> Proactive
  • Brain Computer Interaction (BCI) – maximum Privacy no voice involved like in SPeech
  • Voice, Motion Tracking, eye tracking
  • Human intentionality – a World without limitations
  • NASA is a client
  • consol technology for navigation, typing,
  • Problems: Add to glasses or as an Ear piece
  • the signal is ACTION POTENTIAL
  • latency differences between individuals
  • Non-invasive to invasive to capture signals
 
2:00 – 2:30 Capturing Our Imagination:: Evolution of Brain-Machine Interfaces
Mary Lou Jepsen, Openwater
Hosted by Antonio Ragalado, TR
  • Using functional MRI technology for a NEW device to scan emotions rather than medical diseases
  • HOLOGRAPHY of the Brain – liquid crystal display is like transistors on a chip
  • OPTICS – DISCONTINUITY of Moore’s law – high resolution like functional MRI
  • Holographic LCD – scattering material VOXEL detector – measure intensity of light, no resolution, consumer camera speed OK Inexpensive
  • Human body scattering
  • HAT and Bandage
 
2:30 – 3PM Future of Work – REWARD DISOBEDIENCE –
 
New Prize of $250,000  – Ethics and governance in AI at MIT Media lab
 
Reid Hoffman, Greylock Partners Founder LinkedIn
conversation with Joi Ito, MIT Media Lab
  • Tell the Truth
  • Media Lab — a Non-disciplinary place
  • Universities play a role in Social Justice
  • FEAR of AI:
  1. For profit will own it all
  2. stupid AI will govern
  3. displace work
  4. espionage
  5. catalytic institute that will make a contribution to OPENNESS vs technological dominance

Joi Ito, MIT Media Lab: AI problems –

  • MUST be democratized – Now it is in the hands of very FEW
  • RISK SCORES can’t be contested in court because they are IP of for profit companies
  • Joi Ito, MIT Media Lab at MIT do good to Society vs make the most of money which the majority are doing
  • AUTONOMICH vs autonomous agents, said Joi Ito, MIT Media Lab – Hoffman: Design goals more symbiotic: Scaling, more productive, Season 2 launched today
  • Design principle – LEARNING vs EDUCATION, Joi Ito, MIT Media Lab

Hoffman on AI Technologies

  • shaping it to avoid catastrophic negatives
  • provide a public good via participation
3:00
Break & Networking
 
3:30 – 4 Big Problems, Big Data Solutions
Deb Roy, MIT media Lab
 
  • Tweets and News, Washington Post – Tracking tweets from US on Politics related to the Elections
  • National memory on Guns, Immigrations
  • Debate brief from tweets and News rooms
  • topic classifier,  Campaign finance, SHARE OF COVERAGE IN NEWS, SHARED OF VOICE ON TWITTER
  • deep neural network training algorithms
  • Passion Gap: cut data on Twitter – Trump supporters exhibited x2 fold energy vs the Democratic candidate
  • How does Media flow: Sanders, Clinton, Trump – each is a Media Source
  • Truth, Trust, Attention  – Fact checking
  • If Trust the source then I believe it is True
  • Public Opinion: The Politics of Resentment in Rural WI – Katherine Cramer
  • Listening Networks: Human- Human Interaction: Media sharing network – change week by week – the MOST innovative methodology developed to date for Public Opinion – presentation by
    Deb Roy, MIT media Lab  – using deep Neural network training
     
  1. main stream
  2. conservative
  3. liberal activist
  • Health Indicators:
  • Shared attention
  • Shared Reality
  • Varied Perspective – surface under-heard voices
3:30 – 4
Meet the Innovators Under 35
 
1. Svenja Hinderer, Germany
  • Valve – development of Tissues, biochemical properties
  • signaling molecules
  • mechanical strength – physiological
  • Attrach stem cells – proper matrix formation
  • Functional implants
 
2. Viktor Adalsteinsson
  • Cancer Precision medicine – Liquid biopsy – tumor mutations
  • entire Cancer Genome – from blood biopsy
  • Scaling: Broad Institute 100 collaborators – 3,000 blood sample genomical analysis
 
 
2.Tallis Gomes, CEO Entrepreneur, Brazil
  • Easy Taxi
  • Fighting inequality
  • 15Billion – Beauty Market
 
 
3. Abidigani Diriye
  • IBM Research Africa – 300 million adults – lack of access to financial services
  • Univesities, Government  – start ups to scale ideas
 
 
Eyad Janneh
 
  • 5:00
    2017 Innovator Under 35 Awards & Reception
  1. Speakers
    • Viktor
      Adalsteinsson

      Group Leader, Broad Institute of MIT and Harvard

      2017 Innovator Under 35

    Gene
    Berdichevsky

    CEO, Sila Nano

    2017 Innovator Under 35

    • rechargeable battery
    • new class of materials charge and discharge in battery
    • store more energy
    • more better designed electronics: electrified flight, solar, car: Hybrid and electric
    • 21st Century belongs to electrification vs combustion in the 20th century,

      Gene
      Berdichevsky

      CEO, Sila Nano

    • Tracy
      Chou

      Founding Advisor, Project Include

      2017 Innovator Under 35

    • Adrienne
      Felt

      Software Engineer, Google

      2017 Innovator Under 35

    • Phillipa
      Gill

      Assistant Professor, University of Massachusetts, Amherst

      2017 Innovator Under 35

    • Tallis
      Gomes

      CEO, Singu

      2017 Innovator Under 35

    Kathy
    Gong

    CEO, WafaGames

    2017 Innovator Under 35

    • GAMING SWARD OF GLORY – EPIC NEW RTS EXPERIENCE – WAFA GAMES IN CHINA
    • Ian
      Goodfellow

      Staff Research Scientist, Google Brain, development occurred at OpenAI

      GAN’s – Generative Adversarial Network – from AI Optimization to Game Theory

      2017 Innovator Under 35

    • Yasmin
      Green

      Director of Research and Development, Jigsaw at Google

      Addressing Online Threats to Global Security

    • Kris
      Hammond

      Chief Scientist and Cofounder, Narrative Science

      AI’s Language Problem

    • Svenja
      Hinderer

      Scientist, Fraunhofer IGB

      2017 Innovator Under 35

    • Reid
      Hoffman

      Cofounder, LinkedIn; Partner, Greylock Partners

      The Future of Work

    • John
      Holdren

      Professor, Harvard University

      Climate Disruption: Technical Approaches to Mitigation and Adaptation

    • Joi
      Ito

      Director, MIT Media Lab

      The Future of Work

    • Mary Lou
      Jepsen

      Founder, Openwater

      Capturing Our Imagination: The Evolution of Brain-Machine Interfaces

    • David
      Keith

      Professor, Harvard University; Founder, Carbon Engineering

      The Growing Case for Geoengineering

    • Neha
      Narkhede

      Cofounder and CTO, Confluent

      2017 Innovator Under 35

    • Andrew
      Ng

      Founder, Deeplearning.ai; Adjunct Professor, Stanford University

      The State of AI

    • Tomaso
      Poggio

      Investigator, McGovern Institute; Eugene McDermott Professor, Brain and Cognitive Sciences, MIT

      Understanding Intelligence

    • Olga
      Russakovsky

      Assistant Professor, Princeton University

      2017 Innovator Under 35

    Michael
    Saliba

    Marie Curie Fellow, EPFL

    2017 Innovator Under 35

    • disruptive technology in the energy space
    • Gang
      Wang

      Chief Scientist, Alibaba

      2017 Innovator Under 35

    • Jianxiong
      Xiao

      Chief Executive Officer, AutoX, Inc.

      2017 Innovator Under 35

      CAMERA-first solution affordable self-driving

  2.  

Read Full Post »

Highlights LIVE Day 3: World Medical Innovation Forum – CARDIOVASCULAR • MAY 1-3, 2017  BOSTON, MA • UNITED STATES

Leaders in Pharmaceutical Business Intelligence (LPBI) Group will cover the event in

REAL TIME

Aviva Lev-Ari, PhD, RN will be streaming live from the floor of the Westin Hotel in Boston on May 1-3, 2017

@pharma_BI

@AVIVA1950

#WMIF17

Forthcoming SEVEN e-Books in 2017 AND Eight e-Books on Amazon.com

https://pharmaceuticalintelligence.com/2016/04/24/new-e-book-titles-forthcoming-on-amazon-com-in-2016-from-lpbi-groups-biomed-e-series-forthcoming-cover-pages/

Biggest Voices in Cardiovascular Care

2017 World Medical Innovation Forum: Cardiovascular, May 1-3, 2017, Partners HealthCare, Boston, at the Westin Hotel, Boston

https://worldmedicalinnovation.org/agenda/

Wednesday, May 3, 2017

 

7:00 am – 7:30 am
Lilly Foyer
7:30 am – 7:55 am
Boston Scientific Ballroom
1:1 Fireside Chat: Robert Califf, MD, Commissioner (former), Food and Drug Administration
  • Chairman, Department of Medicine, Physician-in-Chief, Brigham and Women’s Hospital
  • Hersey Professor of the Theory and Practice of Medicine, Soma Weiss, MD Distinguished Chair in Medicine, Harvard Medical School
  1. What is the state of play and the future of CVD
  2. Why Drugs are behind vs Devices
  3. Precision Medicine in CVD
  4. Nutraceuticals – more regulations??
  5. Insights that surprised you at FDA
  6. Redesign the FDA – Areas?
  7. Patient participacition post approval
Robert Califf, MD – Now at Duck
  • Commissioner (former), Food and Drug Administration
  1. CVD – drugs vs Devices
  2. Drugs are less exciting while devices are booming
  3. Effective therapies of generic drugs is remarkable
  4. Reimbursement system is messed up
  5. DIfferent drugs have equal effects and ROI is not there, Pharma are pursuing different areas
  6. Checkpoints drugs in Oncology has no analogy in CVD
  7. Enrollment in Clinical Trials: In oncology, patients flock to Trials – that is not the case with CVD Trials
  8. Precision Medicine is over inflated, it is demonstrated in Oncology, “in CVD, I wish to hear from you”
  9. System Biology and Drugs
  10. FDA – one drug is a success for several attempts, several is large
  11. FDA is not interested in the Mechanism, they are interested in identidying the population, demonstrate safety and efficacy no adverse events
  12. Investment in Devices looks better vs CVD Drugs, Biologics are different
  13. Food supplement for Prostate, some are harmful – Law forbid regulation of Nurtaceuticals not good for public health
  14. Academic centers: Duke and Partners are far advanced in HC landscape
  15. FDA works with CMS – demonstration of Value in Drugs – Pragmatic randomized Trials
  16. Total cost, better spent
  17. FDA is a Science-based Organization – tremendous people, amazing work – learned the regulation over time
  18. Political Corporation have same status like individual for First Amendment
  19. Regulate Cosmetics and Nurtaceuticals
  20. Ecosystem: Products, Patient Advocacy Groups and Regulators — better alignment
  21. Cooperation and interaction among agencies: NIH, FDA
  22. Speeding the process if Patients are involved earlier – Pragmatic study design
  23. CVD – reassurance the patient
7:55 am – 8:45 am
Boston Scientific Ballroom
Innovation in Translational Trials

CV/metabolic disorders comprise aggregates of many niche diseases that may be targeted with therapies against specific molecular alterations, yet the final potential markets are much larger. This model creates challenges for both drug development and patient care with implications for initial indication selection and design and execution of clinical trials – from first-in-human through post marketing studies.

 

  • Director, Translational Research Center, Massachusetts General Hospital
  • Professor of Medicine Harvard Medical School
  1. CVD Success stories NOT by Cardiologists
  2. Metabolic Drugs Clinical Trials: Outcome Trials – 4% each trial is $2Billion thousand of Patients
  3. Trial design
  4. Technologies
  5. Quality control in Clinical Trial in Russia, Gorgie – no metabolites in blood
  6. Biomarkers Predictor of responses
  • SVP, Global Head of Regenerative Medicine Unit, Head of Scientific Affairs, Japan, Takeda
  1. Stem Cells Skin cells or blood cells and converted to other cells
  2. development of Cell-based therapy for Cardiac myocytes: propiatory method to purify myocytes
  3. In Japan, Cardiac transplant in very small cases – Alternative for Heart Transplant for HF – development of gene therapy and stem cell converted to myocytes
  4. Govenrment initiative to develop regenerative medicine, procedure can be improved,
  5. approval for EF improval – conditional Approval given by Government on 100 patients
  6. Severe HF — cell therapy and procedure is consider
  7. Osaka University, cell transplantatio – in Acadedmic Center
  8. If efficacy and safety — continuous improvement – inject the cell be applied to more patient beyond CVD applications
  9. Post approval registry, call patient back every few month, HF continuos Monitoring
  • CMO, Verily
  1. Tools to make the Patient the center of the Trial and engaged
  2. Information arrives in Real Time with Analytics – value derived from Dashboard design
  3. Multidimensional Data
  4. Definition of Disease – not as a point once a year but continual
  5. Real Time monitoring, deep IT design, each Patient has own Portal, monitoring takes major resources, Large Informatics companies, screen ECG of huge populations
  6. FDA interested in NEW tools, data that comes from individual
  7. Biomarkers: Biosignals broader, connection Genomics and physiology – Neurlology
  8. CVD – BP druds and QT prolongation
  9. User-centric Design – Patient-center, data infrastructure for MDs
  • SVP, Global CMO, Novo Nordisk
  1. 2016 – three drug studies CVD and DM – Insulin: (1) Post market on Safety, (2) Preapproval assessement (3) Insulin study assess data without compromising the continuation of the study (CVRT)
  2. Engaging Patients and Investigators – Global Trials varies by Regions – Global Experts, Local Experts and RN as Coordinators — worked very well
  3. CVD Outcome Trials – engaging patients
  4. Intermediate Analysis: conduct and protect the Intermediate results no disclosure till Trial is completed
  5. Identify the right site id a challenge
  6. Multiple pathway related to CVD – Biomarkers difficult to find as insightful
  7. In Israel data integrity is the highest
  8. Innovative Medical Initiative – Novo, Lilly, Sanofi — DM data comparison
  • SVP & CSO, PAREXEL International – CRO
  1. Adaptive Trials vs Traditional Cardio (no windows) – intermediate evaluation
  2. Adaptive Trials: Flexibility 50% of Phase III Fails – Adaptive design offer more values
  3. OMICS revolution – innovative revolution
  4. Umbrella Design: different treatment for single indication
  5. Platform design – infrastructure design is inefficient vs Platform: Number of Drugs Several indications
  6. Interaction with FDA: They are open to Adaptive design wiht Power, survival rate window adaptive,
  7. Tufts data and PAREXEL: Adoption 30% of new design for Phase III: maintain blindness
  8. Data Surveillence during the Trial administration – look at data cycle time, monitor margins during the study Red flags identified before end of study
  9. Biomarkers in Early Translational Research – down stream processes to identify and validate
8:45 am – 9:15 am
Boston Scientific Ballroom
1:1 Fireside Chat: Michael Mahoney, CEO, Boston Scientific

Edward Lawrence, Board of Directors, Partners

Moderator: Meg Tirrell – Biotech, Pharma
  • Reporter, CNBC
Michael Mahoney ex-GE Medical HealthCare IT and J&J Diagnostics
  • CEO, Boston Scientific

Geography – Global vs 10 years ago US focus

Pipeline strategy – Diversified: Neurology, CVD, Endoscopy – innovation cycle very strong

  • Symatec – valve company – M&A – strengthen Strategy on TAVR
  • AF product
  • Deeper Stimulation for Parkinson
  • Mitral Valve Strategy: Venture bets with VC for repair and replacement
  • TAVR – volunteer recall back in Europe – P&A – fully deployed valve synergies with Symatec
  • Digital tool
  • GHX – B to B Healthcare Exchange – automate procurement, innovate the portfolio – supply chain cost reduction
  • 30 VC investment – microelectronics, AD Neuro-modulation, Obesity, Immunology
  • Sensors – prediction of HF – two devices: diagnostics-side to reduce hospital readmission – GO HOME with Alert system to avoid ER, diagnostics
  • Cnsolidation: growing very well: Drive Category leadership – Hospitals want to deal with three suppllier.
  • Partner of Choice for Partners
  • Acquisitions: Early stage and more mature
  • Challenges in Emerging Markets:
  1. Brazil – different that China or India
  2. China – more regulation for approval
  3. India – price very low – not to offer more expensive stents
  • Cyber security – Investment in this domain to secure data – not a market reaction to this issue
  • Reimbursement: Clinical path to get Approved – Upfront effort to align approval with Reimburement
  • FDA responsive to 2nd time improvement Clinical trial designed
  • Microelectronics new direction: Endoscopy GI Pulmonary,
  • SPINAL CORD STIMULATION: GU, GI (Crohn), Neuromodulation: Depression, Pain, Parkinson

 

9:15 am – 10:05 am
Boston Scientific Ballroom
New Targets in Coronary Artery Disease

Cardiovascular trials have a proud history of providing some of the most robust data in evidence-based medicine. However the growing size and complexity of these trials imperils their future. This panel will discuss the design and implementation of clinical studies globally, considering strategies for patient access, leveraging electronic health records and mobile device data, personalized medicine, regulatory implications, cost containment and management of relationships with global service providers.

  • Director, Center for Genomic Medicine, Massachusetts General Hospital
  • Associate Professor of Medicine, Harvard Medical School
  1. expose new pathways: Biology is most important, BP, High polygenic risk identification of patients for early treatment
  • VP Research, Cardiometabolic Disorders Therapeutic Area Head, Site Head Amgen San Francisco, Amgen
  1. 1,500,000 stroke
  2. CVD and atherosclerosis – is a complex disease
  3. at Amgen – Genetics will bring the breakthrough to atherosclerosis
  4. Cost is related to FAIL less – target selection is cardinal
  5. Phynotyping and genotyping for targeting the Patient that will benefit the most
Clive Meanwell, MD, PhD – Oncologist
  • CEO, The Medicines Company
  1. Orphan drugs for Genetic targets vs Opportunities of the prevalent diseases of the Heart
  2. Big Pharma are in CVD, do not discourage, CVD major cause of death
  3. Phase III needs different questions and more Phase IV needed
  4. Biomarkers:
  • Director, Center for Cardiovascular Disease Prevention, Brigham and Women’s Hospital
  • Eugene Braunwald Professor of Medicine, Harvard Medical School
  1. Residual Real Risk: Inflammatory response, triglycerides innovations in LDLc reduction – Class of PSCK9
  2. Know biology, follow biology
  3. Science is endangered in WashDC
  • EVP, CMO, HeartFlow
  1. Clinical burden remains: Which patient will benefit?
  2. Value for Patient
  3. No investment in Coronary disease – Devices investment in this space, setbacks in bioabsorbable stents
  4. goal is holistic for economic value of the outcome of the trials
  5. Imaging Efficiency: Plaque composition, Coronary CT, flow implication of stenosis
  • CMO, Kowa Pharmaceuticals
  1. Is triglycerides the right focus
  2. Macrophage activation to prevent pathways and prevent resistance
  3. chronic HIV- pathophysiology – immune activation
  4. Pragmatic Clinical Trial Design: Novel Targets, preclinical must be faster, collaboration of Academia and Industry
10:05 am – 10:25 am
Lilly Foyer
10:25 am – 10:55 am
Boston Scientific Ballroom
1:1 Fireside Chat: Gary Gibbons, MD, NHLBI
  • President, Brigham Health
  • Professor of Medicine, Harvard Medical School
  1. What innovative projects at NHLBI
  2. Young Investigators
  3. Large Cohort studies: Framingham Study, 1958 – CVD Risk for: Policy: Lowering BP and Cholesterol
  4. CVD hot areas
  5. Value-based Care
Gary Gibbons, MD – Public Service, appointed by NIH Director, not by the President
  • Director, NHLBI
  1. Enabling other the pursuit of Science for Public Good
  2. Ecosystem – the Government arm –
  3. ROI – funds Projects
  4. KI – New Program – funding PIs – investigators initiatives – Next generation of Scholars
  5. 50% of KI converts to ROI
  6. Reduction in CVD is an ROI in research in CVD Biology and Drug development and Devices
  7. 2018 NIH Funding – last two years increase in budget, cuts may or may not occur
  8. Opportunity to reinvent Longitudinal Cohort Studies with insertion of Genomics sequencing – 7,000 Whole Genome – target 100,000
  9. Concepts of Data Commons – Sharing ONE resource for distributed Analytics: Reusability, interoperability, API
  10. CVD – portfolio to include Minority Population disease prevalent
  11. Translation of Science, concept mechanism
  12. Epigenomics and Patho-biology DB and changes over time -a rare resource
  13. Science is to be done for the Public Good, commonwealth of the entire nation – Accessibility of Genome Data after the National goal of sequencing the Genome
  14. 20% investigators take up 50% of the grants and squeeze out the younger generation
  15. Pragmatic optimist in this position, scientists innovate for Patients

 

10:55 am – 11:45 am
Boston Scientific Ballroom
The Skinny on Fat: Therapeutic Opportunities

Explore the evolving role of adipose tissue as an active endocrine organ and discuss the possibilities to discover novel signaling pathways relevant to cardiovascular health and viable druggable targets.

  • SVP and US Medical Leader, Eli Lilly and Company
  1. Obesity and DM2 – direct (Heart Disease Arthritis) and indirect cost (quality of life and productivity)
  2. What is most exciting
  3. What is the challenges
  4. Best ideas
  5. NASH
  6. Microbiome
  7. Food Science
  • SVP and CSO, CVMET, Pfizer, Cambridge
  1. Cardiometabolic in same department with Neurodegenerative Disease – affected by metabolic state
  2. Behavior modification does not work – 1:1 care is too expensive
  3. therapeutics needed for obesity
  4. Which drugs will be translatable
  5. NASH – most die with Heart disease – if NASH treated no death??
  • Global VP, Cardiovascular, Renal and Metabolism AstraZeneca
  1. Renal condition CKD
  2. CVD
  3. comorbidity
  4. Drug perspective: White fat in not inert, signalling
  5. combination of drug
  6. compounds that have impact on CV system
  7. Three Barriers: (1) Science, (2) access to medicines (3) holistic approach: Nephrology needs to use DM drugs, Cardiologist other drugs than cardiac drugs
  8. NASH – it is a REAL disease, impact on Patient
Thomas Hughes, PhD – ex-Novartis
  • CEO, Zafgen
  1. Inhibiting enzyme in obisity for weight reduction
  2. Inflammation burden, lipid, thrombotic events
  3. NASH
  4. Fat and glucose metabolism – integrated physiologic view
  5. Cardiovascular Outcomes: lack of harm vs showing benefit caused by emerging therapies
  6. Food and obesity
  • Director, Obesity, Metabolism & Nutrition Institute, Massachusetts General Hospital
  • Associate Professor, Harvard Medical School
  1. MGH-GI, Bariatric Surgery, effect on comorbidity Vascular Pressure –>> Hypertrophy, conduction and Arryhythmia
  2. Obesity in 6 Countries not only in US, Urban and Rural
  3. CVD occurs in Asia in absence of Obesity
  4. Bariatric surgery is not a public solution – it affects the gut different that drugs do
  5. what get a person to obesity and waht maintain the obesity
  6. complications of obisity – abnormal target of stores
  7. move from the ideas of calories consumption vs Brain function
  8. Develop drug against the complications vs against the obesity itself: Science of Obesity not understood,
  9. Voluntary obesity vs life style – stigma against obesity, heterogenous disease
  10. Microbiome – effect size is small master regulator are interactive Pro-biotics needs to be invented

Bruce Spiegelman, PhD

  • Stanley J. Korsmeyer Professor of Cell Biology and Medicine, Dana Farber Cancer Institute, Harvard Medical School
  1. Molecular development of fat molecule and in exercise impart on energy expansion,
  2. Capture the molecules that participate in exercise to be given to bedridden patients
  3. Obesity is a disease of energy imbalance – Food Intake and Energy expenditure – BEIGE FAT cells that expend energy
  4. Molecular involvement: Exercise causes neurogenesis: ALS, Parkinson, AD
  5. Exercise affect, Heart, Brain and cognition
  6. Science had budget challenge, Biotech, Pharma: CVD Outcomes studies
  7. R&D has challenges to get traction
  8. Microbiome – natural context  provide modest benefit, some effects
11:45 am – 12:45 pm
Boston Scientific Ballroom
Disruptive Dozen: 12 Technologies that will reinvent Cardiovascular Care
  • Chief of Cardiovascular Medicine, Brigham and Women’s Hospital
  • Associate Professor of Medicine, Harvard Medical School
  • Chief, Cardiology Division, Massachusetts General Hospital
  • Professor of Medicine, Harvard Medical School

12. Aging and Heart Disease: Can we reverse the process?

11.Nanotechnologies for Cardiac Diagnosis and Treatment

10. Breaking the Code: Diagnosis and Therapeutic Potential of RNA

9. Expanding the Pool of Organs for Transplant

8. Finding Cancer therapies without Cardiotoxicity

7. Less is more: Minimalist Mitral Valve Repair

6. Understanding Why exercise works for Just about every thing

5. Power Play: The Future of Implantable Cardiac Devices

4. Adopting the Orphan of Heart Disease

3. Targeting Inflammation in cardiovascular Disease

2. Harnessing Big Data and Deep Learning for Clinical Decision Support

  1. Quantitative Molecular Imaging for Cardiovascular Phynotypes

 

1:00 pm
Lilly Foyer

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Highlights – LIVE Day 2: World Medical Innovation Forum – CARDIOVASCULAR • MAY 1-3, 2017  BOSTON, MA • UNITED STATES

 

Leaders in Pharmaceutical Business Intelligence (LPBI) Group will cover the event in

REAL TIME

Aviva Lev-Ari, PhD, RN will be streaming live from the floor of the Westin Hotel in Boston on May 1-3, 2017

@pharma_BI

@AVIVA1950

#WMIF17

Forthcoming SEVEN e-Books in 2017 AND Eight e-Books on Amazon.com

https://pharmaceuticalintelligence.com/2016/04/24/new-e-book-titles-forthcoming-on-amazon-com-in-2016-from-lpbi-groups-biomed-e-series-forthcoming-cover-pages/

Biggest Voices in Cardiovascular Care

2017 World Medical Innovation Forum: Cardiovascular, May 1-3, 2017, Partners HealthCare, Boston, at the Westin Hotel, Boston

https://worldmedicalinnovation.org/agenda/

Tuesday, May 2, 2017

7:00 am – 8:00 am
Lilly Foyer
7:00 am – 7:45 am
Pfizer Ballroom
FOCUS SESSION: Japan Today: Advancing Cardiometabolic Therapies

Discussion on unique aspects of cardiometabolic market in Japan, its projected trend over the next 5 years and explore transformative models of open innovation to accelerate development of new therapeutic options.

  • Yoshiro Miwa Associate Chair and Founding Director, Center for Interdisciplinary Cardiovascular Sciences, Brigham and Women’s Hospital
  • Head of Pharmaceuticals, Americas Region, Bayer
  • Director, Health & Welfare Department, JETRO New York
  • President, Japan Agency for Medical Research and Development
  • President, Head of Global Business Development, Mitsubishi Tanabe Pharma Holdings America, Inc.
  1. Complications of Toxin absorption and metabolic disease
  2. Collaboration with Academia: @ representatives are on two West Coast and 2 on the East Coast
  3. CVD and HTN related to aging is on the rise National Initiative to encourage change in Life Style
7:50 am – 8:00 am
Boston Scientific Ballroom
Opening Remarks
  • Chief Innovation Officer, Partners HealthCare
8:00 am – 8:50 am
Boston Scientific Ballroom
Pricing to Enable Affordability and Innovation

Balancing acceptable answers to high and escalating drug prices in the United States while making strides in medical innovation. Leaders in innovation, policy, care delivery, academia, and insurance discuss potential collaborative solutions.

 

Moderator: Peter Slavin, MD
  • President, Massachusetts General Hospital
  1. American Consumer of Healthcare pays more and it is not justifiable
  2. Pay for Value, pay for Outcomes
  • Physician-in-Chief, Department of Medicine, Massachusetts General Hospital
  • Jackson Professor of Clinical Medicine, Harvard Medical School
  1. Challenges understand PCP services and SPacialty medicine
  2. Adding fluids or taking it away is the majority of the decisions
  3. In cancer treatment 40% of prescriptions are not filled due to out of pocket cost increase
  4. In drugs Innovation are more expensive not less expensive
  5. Economists: Physicians are irrational
  6. Patient engagement, own health in their hands for compliance with treatment
  7. Assist MDs with the right data for their decision on what drugs to use
  8. Two key ways : Complications of Drugs, drive drug cost – Personalized medicine – improve outcomes on an Individual Patient basis
  9. How important is the question, affordable drugs is more important than anything in the delivery of care
  • CEO, Boehringer Ingelheim USA
  1. Many stakeholders are involved
  2. Pricing of Pharmaceutical in last 10 years, “List price” and the “Net Price” collected by Pharma has widen,
  3. high deductable plans are prevalent 40%-50% – out of pocket cost increased
  4. backlog of generic drugs – it takes 36 month to approve vs 12 month of non-generic
  5. Value-based pay, drug is only one enabler in MDs tool kit
  6. Out of pocket cost: Exposure is largest on the drug-side, that is preventive to avoid hospitalization
  7. Unfair pricing leading to not be active in certain markets, Price control outside the US, take position on Importation, not disrable to import drugs into the US, we do not wish drug shortage around the world, Canada is a Small market US is a huge market
  8. FDA on Oncology drug-device, potential exists for existing drugs
  9. Continue to do Clinical Trials in the US, claims orientations exacerbation, describe the benefit
  • EVP, Medical Devices, Abbott
  1. Who will pay and why?
  2. How we challenge development team to bring down cost of technology and plans showing cost savings in 12 month not few years down the road
  3. Selection of areas: ORTHO – hip replacement and Pain management
  4. Establish Global Pricing Models in USD, Premium, fair Price, desperative Prices is not good for the system
  • Director of Innovation, Cardiovascular Division, Senior Investigator, TIMI Study Group, Brigham and Women’s Hospital
  • Associate Professor of Medicine Harvard Medical School
  1. Cardiometabolic diseases  – drugs available to avoid events down the road
  2. new drugs at $20,000 cost per year vs Generic drugs – Economic responsibility in the Lipids area is long term
  3. MI many types bundling cost is more difficult that in Ortho
  4. Chronic disease, therapeutics, diagnostics, How to reduce cost? – Best utilization of drugs
  5. Durable response to drug, not enough data in hands of MDs
  6. Randomize Placibo and Randomize the drug, Placibo – requires better engagement
  7. After MI – 6 MEDS, compliance
  8. Clinical Trial very expensive, FDA requires PRAGMATIC TRIAL DESIGN, IDENTIFY DIFFERENT POPULATION FOR EXISTING DRUGS
  9. develop platform to test simple questions, in Cardiology
8:50 am – 9:40 am
Boston Scientific Ballroom
CLINICAL HIGHLIGHT: Emerging Devices for Complex Structural Heart Disease

Evolution of mitral disease management, current practice and impact of new technologies on both repair and replacement, implications of a heterogeneous patient population, triage, timing of intervention.

Moderator: Jason Mills
  • Managing Director, Head of US Healthcare Research, Canaccord Genuity
  1. What patient to target
  2. Heterogenous population – definitive data, how it is achieved
  • Divisional VP and General Manager, Structural Heart, Abbott
  1. Homogenous or heterogenous
  2. Standard of Care- restore normal function, patient outcomes more fragile as disease progresses
  3. Paradigm, measurable reduction of regurgitation
  4. Design of Clinical Trials: MR treatment around the World,
  5. MitralClip reduce MR reduction is not resolution
  6. 1000 publication on MitralClip – data gather indicate improvement in life quality
  7. TEE alone for use of MitralClip is nor enough, need to see to do the procedure
  • EVP, Global CMO, Boston Scientific
  1. State of the Art, Mitral regurgitation and degenerative Mitral valve: mechanism and elements responsible for regurgitation, repair of Annuals vs replacement of the valve.
  2. Options at different stage of the disease
  3. Functional Mitral Regurgitation: care pathways, compounding effects, two little too late
  4. AF can cause Valve dilatation and regurgitation
  5. Treatment, patient less symptomatic
  6. HTN cause of LV systolic disfunction – treated first – improve the Mitral regurgitation
  7. Mechanism under pinning in the decision process, CLinical Trials – Device may not work for all patients in the Study
  8. leaflet condition dealt in repair strategy vs device selection
  9. Having devices focus the clinical pathways for therapeutic options, TAILORING OF DEVICES TO SPECIFIC STRUCTURAL CONDITION OF THE HEART
  • Watkins Family Distinguished Chair in Cardiology, Brigham and Women’s Hospital
  • Professor of Medicine, Harvard Medical School
  1. Structural Heart disease: Hole in Heart,
  2. 5 1/2 years approved for TARV
  3. TAVR will exceed Open Heart Surgery next year
  4. Mitral valve growth is in  >75 y-o more cases than Aorta
  5. Aorta Valve – seen on Echogram stenosis seen
  6. Mitral Valve – concert of several elements, very complicated, Coordination among: Device, FDA, CMS, MDs, Hospitals
  7. DO  doctors wait to long to intervene: Moderate to severe: Foundational approach Ventricular dysfunction, late stage not continue to progress.
  8. MI
  9. drivers of cords,
  10. identify Patient – can be improved by PCPs, NPs, PAs, assess severity, Center for evaluate consensus on timing the intervention
  11. relay on the Cardiologist in the Community – context: Not all MR needs surgery
  12. Functional Mitral Regurgitation, poor LV function, the valve intervention will not improve longevity may improve quality of life for two years
  13. 20% survival after MI in LV dysfunction post MI then Mitral valve intervention will not improve longevity
  14. For older pation with Functional MR and moderate LV dysfunction – trial design on utility of the intervention.
  15. More patients will be included for treatment as recognition of the disease matures
  16. WHO should do that procedue : Interventional Cardiologist or Cardiac SUrgeons: HARD procedure NOT fixing Coronary artery
  17. Set up regional centers of Care links to maintain quality and PATIENT MUST DO BETTER
  18. 200 centers in the US do MitralClip procedure
  19. Procedure expensive BEYOND THE DEVICE cost

 

  • CVP, Advanced Technology, CSO, Edwards Lifesciences
  1. 60,000 procedures in the US vs. 2.4 million patients with the MR condition
  2. Percutanious is an opportunity not to damage the heart, challenge, how to attach  to the heart and how much regorgitation to get clinical benefit, optimal benefit to patient: Multiple products are in development
  3. Aortic stenosis: we learned which patient will benefit, clinical studies, cost effective, two companies validated the approach
  4. Mitral Valve is in early stage Trans catheter is the direction
  5. PATIENT ACCESS – who will benefit
  6. devices will Improve Patient conditions
  • SVP and President, Coronary & Structural Heart, Medtronic
  1. MR at medtronic: degenerative disease, repair the valve, average surgeon does 6 procedures a year,
  2. Toolbar approach, how to do it safely no complication repeatable to know the reduction level
  3. population exists to do the development early in the stage of MR
9:40 am – 10:10 am
Boston Scientific Ballroom
1:1 Fireside Chat: John Lechleiter, PhD, Chairman, Eli Lilly
Moderator: Susan Dentzer
  • CEO, Network for Excellence in Health Innovation
  • Chairman, Eli Lilly and Company
  1. Two approaches to Beta Ameloid – fail to meet Endpoint: Mild patient Solismad 24% improvement vs placibo
  2. Dementia not AD – mild to moderate patients, only.
  3. Move faster is desiable, turnaround time need be faster
  4. Would do over again, tap best minds in the World,
10:10 am – 10:25 am
Lilly Foyer
10:25 am – 11:15 am
Boston Scientific Ballroom
Personal Monitoring for Disease Management

Considering the evolving trends in viability and utilization and the opportunities wearables may present for real-world clinical decision making.

 

Moderator: Joe Kvedar, MD
  • VP, Connected Health, Partners HealthCare
  • Associate Professor of Dermatology, Harvard Medical School
  1. Evidence on monitoring Patients while @Home, pros and cons
  2. 2016, review evidence, recommendation for monitoring Patients while @Home
  3. Continuing care and continuing data collection
  4. Hospital administrator need a path to have more patients coming to the hospital
  5. Implement technology for quality care, access and lower cost
  • CIO, VP, Brigham and Women’s Hospital
  • Course Co-Director, Harvard Medical School
  1. CHF, HF, – recognize that Technology alone is not enough
  2. People and Technology intervention targeting
  3. Academic medical centers – monitoring Patients while @Home is a mechanism to deliver care
  • COO, Siemens Healthineers
  1. Outcome-based evidence – innovation exited 15 years ago
  2. at Present time the market is accepting
  3. Medical Systems do not have enough capacity – shortage of MDs
  4. Monitoring Patients while @Home is to free time of MDs in the Office
  • CEO, Zoll Medical
  1. Outcome-based research on a wearable cardio-devibrilator, Arrhythmic death protection
  2. Policy: talk about reimbursement
  3. Patient data collected, histories of ECG before cardiac arrest
  4. what diagnostics to be used with this data: do not drive, do not be alone at home
  • CSO, One Brave Idea, Brigham and Women’s Hospital
  • Associate Dean for Executive Education, Harvard Medical School
  1. Evidence and publishing results, MDs and Patient’s perspective on Autonomy vs monitoring Patients while @Home
  2. DIgital Health Comapny vs Academic Study on monitoring Patients while @Home – Wearable Patch surpass wearing a holter
  3. External wearable now acceptable and clinical evidence will convince all stakeholders
  4. Realization by physicians that monitoring Patients while @Home is a TIME SAVER in their practice will endore the technology at a rapid pace
  5. Published studies: Sharing genetic information with Academic Centers: Verily, AstraZeneca and AHA partnership
  6. Information in the Periphery but adopted in the center of Unifies healthcare eco system not in Silos anymore
11:15 am – 11:45 am
Boston Scientific Ballroom
1:1 Fireside Chat: Robert Bradway, CEO, Amgen
Moderator: Scott Sperling
  • Co-President, Thomas H. Lee Partners
  1. Amgen –>>> Biotech to Pharma
  • CEO, Amgen
  1. Six areas: CVD, Cancer, Inflammation,
  2. CVD opportunities: Science and commercial – Heart disease, tools of Human genetics for drug development in CVD: REPATA a molecule targeting PCSK9 – variant on gene associated with LDL Pathways – genetic clue
  3. Innovation in Human genetics new sequencing technologies allowed to see disease in Human populations, disease and pathways
  4. Aging associated with risks of CVD, How we pay for innovative therapies?
  5. Benefit from innovation – 800,000 in US have a stroke every year $60 Billion treatment for patient of CVD
  6. Value of innovation at a price that allows access and lowering cost of care
  7. Cardiologist prescribed the medication for himself it took 6 month for insurance to approve
  8. Utilization management – move to innovative technologies if current therapies do not work
  9. Pay for benefit and for outcome, no pay if med does not do what it was supposed to do – refund patients
  10. focus on right patient get access. if LDL is so high – the therapy is there – the payers, enable access
  11. Access challenge: Discount, Rebates, Co-pay assistance to access therapy as REPATA at $5 a day value is high,
  12. A single payer is the Government in other countries
  13. Future at Amgen: Potential for Innovation to improve Medicine, paying for innovation needs to be strainten
  14. Coming drug is Pharmcogenetics for atherosclerosis
12:00 pm
GE Ballroom
12:15 pm – 12:30 pm
GE Ballroom
Austen-Braunwald Award

Awarded to one BWH and one MGH First Look participant who embodies the innovative, entrepreneurial, and visionary spirit of cardiovascular legends W. Gerald Austen, MD and Eugene Braunwald, MD. Granted based on select criteria, including overall presentation quality, innovativeness, commercial potential, caliber of disruption, and market need.

  • Ben Olenchock, BWH
  • Steven Lubitz, MGH
12:30 pm – 1:00 pm
GE Ballroom
1:1 Fireside Chat: Frans van Houten, CEO, Philips
Moderator: Gregg Meyer, MD
  • CCO, Partners HealthCare
  1. Why Healthcare?
  2. How your approach to innovation enable to move fast?
  3. Develop technologies that are more affordable
  4. Data, Insight, How to get insight from data about a deterioration
  • CEO, Philips
  1. A 125 year company, shade lighting business to focus of Healthcare, global challenge a goal in Humanity for solution, services, products
  2. R&D diagnostics, Informatics to integrate data
  3. Africa and India – emerging markets with infant mortality high — develop a clinic as franchise for every price point
  4. shift from Products to Cloud-based solutions – Prevention, Diagnostics, @Home care: Neuro, Cancer, CVD
  5. Academic Institutions: Karlinska in Sweden – Stroke solution in partnership with Philips
  6. Affordability, maximum of the technology, partnership with Industry consultants, does not work everywhere, took in house the Services part and developed algorithms to assist MDs in interpretation of radiological data
  7. Patient monitoring 24×7 in ICUs,
  8. eICU – measure evolution to forcast 6 hours in advance a deterioration – highest performance, reduction 40% of death by insight from data
  9. Complex diseases created enormous data,
  10. Measuring progression of AM – AI algorithms for a digital platform
  11. Data integration, oncology patients: Genomics, Pathology, Clinical Data Scientist,
  12. R&D will be co-creation with clinical validation and publication for Market adoption
  13. Head of Radiology across several Hospitals – Better Outcomes Operations improvement due to technology
  14. Rural Africa market connected to a Hospital in a city — working on that teleconference
  15. UAE – crowdsource for nearest AED – locate incidence like UBER for CVD
  16. AI in Pathology – genomics and patient targeting – Lab in Cambridge, Big Data
1:00 pm – 1:10 pm
1:10 pm – 2:00 pm
Boston Scientific Ballroom
Global Clinical Trials: Next Generation Design and Scalability

Cardiovascular trials currently account for 10 percent of all clinical trial participants. Discussion on design and implementation of clinical studies globally, considering strategies for patient access, regulatory implications, cost containment and management of relationships with global service providers.

 

  • Chairman, TIMI Study Group, Lewis Dexter, MD Distinguished Chair in Cardiovascular Medicine, Brigham and Women’s Hospital
  1. Bar is very high, events went down, that necessitates very large studies 30,000 patients, 12 sites around the globe, acquisition of data
  2. Outcomes, where is Pharma in development of a compound
  3. Other indications that LIPIDS
  4. surrogate outcomes
  5. Diabetes: requirements mutual effect on CVD, benefit of DM drugs for CVD OutcomesGathering data on approved drugs, looking at different doses
  6. A model for dosing compounds per each patient
  7. Benefit or harm different in the US and in other sites
  8. genetics, how it inform in drug development, validation to pan out
  9. Real World evidence in 21 Affordable Act – randomize
  10. multivariable adjustment on how many variable affect the Power of the study
  • VP, Cardiovascular & Metabolic Disease Head, Global Medicines Development, AstraZeneca
  1. Patient population,
  2. new medicine vs existing registries
  3. Real World evidence include observational dat after the drug is on the market
  4. Randomization – identify population, register, randomize, collect
  • SVP, Global Clinical Research, Therapeutic Area Head, Cardiometabolic & Womens Health, MRL Lead, China R&D, Merck
  1. data from medical record
  2. investigational drugs more difficult
  • VP Cardiovascular Medicine, Covance
  1. Productive sites, approaches: Russia, Russia-Georgia, dishonest recruitment, combine resources to find sites
  2. 50% of blood analysis at sites that do not recruit at all
  3. Internal vs External validity: Early on in drug development, protocol deviation, drug MOA, variability off set by study power
  4. Patient reporting outcomes
  • Director, Division of Cardiovascular and Renal Products, Food and Drug Administration
  1. Surrogates: likely outcome endpoint for decision,
  2. CVD is difficult, graveyard of program that failed, inotropic drugs were stopped
  3. Global trial, most expensive to do in the US – in the US the care given need be comparable to the care in the US
  4. Requirement that the results will be relevant to type of care in the US
  5. Preserve randomization is key
  • VP, Cardiovascular Medicine,  Global Development, Amgen
  1. What is the hypothesis for testing, population match, understand the molecule for the modality
  2. Decode, benefits and risks – phynotype
  3. aggregation of data with investigational therapies,
  4. AI will become part of Clinical Trial
2:00 pm – 2:50 pm
Boston Scientific Ballroom
Precision Cardiovascular Medicine: What is Different This Time

Explore how precision medicine is changing the face of cardiovascular medicine specifically. The session will examine the impact of combined phenotypic and genotypic characterization on optimizing response to therapeutics, trial design, improving outcomes, and redefining reimbursement.

  • EVP, R&D, Amgen
  1. Outcomes for RAPATA – a pharmacogenomic drug
  2. Precision medicine in CVD – optimistic
  3. CVD – phynotype more determinative then genotyping vs Oncology, complex traits
  4. Bippharma moves away from big public health diseases, trials are expensive, FDA harch requirements
  5. Investors:to Biotech – works on Oncology and on Orphan drugs
  6. Methodology for targeting by using genetics are more precise
  7. In Phase III a drug where biology is very well understood
  • VP, Head Translational Medicine Merck
  1. CVD in Merck – rearrange resources in South SF on
  2. Arrhythmia: Mutation if down played causes Arrhythmia if Overexpressed causes Arrhythmia – caution in terapeutics tatgets – gene indication not to develop therapy
  3. Diastolic HF – make a drug, pick up one signaling cascade and show efficacy not in all pathways
  4. Populations that are resilient in diseases as HF
  • Assistant in Medicine, Massachusetts General Hospital
  • Assistant Professor, Harvard Medical School
  1. AF model in Translational medicine, metabolites
  2. moderately optimistic
  3. molecular phynotyping
  • Director, Cardiovascular Genetics Center, Brigham and Women’s Hospital
  • Thomas W. Smith Professor of Medicine and Genetics, Harvard Medical School
  1. Genetic in CVD – Cardiomyopathy and genetics
  2. target molecule for therapy of genetic
  3. gene mutation variants are different the genes are the same
  4. LDL receptor led to development of Statins
  5. PCSK9 was developed from genetic observation on familial
  6. protein profiles very important
  7. Genotype more informative than phynotypes
  8. Genetic tools to direct drug discovery

Kevin Hrusovsky, Quanterix

  • Biomarkers at the bedside
  • Protein of inflammation in DM – phynotype, genotype – stratify population of patients for targeting therapeutics
  • 6 inhibitions, role of protein, multiple cytokines involved
  • Head injury – diagnostics must be very quick
  • Insurance will require prevention emphasis
  • Early diagnosis is facilitated by genokmics

 

2:50 pm – 3:40 pm
Boston Scientific Ballroom
CV Investing in the Next Decade

View on investing landscape, opportunities in the CV/metabolic marketplace, the drugs, devices and diagnostics currently in pipelines and notable positive trends.

Moderator: Meg Tirrell
  • Reporter, CNBC
  1. M&A landscape
  • Managing Director, Healthcare, GE Ventures
  1. Advanced diagnostics
  2. value-based care
  3. no investment in drugs
  4. Insurance are into the Game of Data Analytics – fast adoption to become standard of care
  5. Reimbursement:  Tech investors and Healthcare investors with having in mind FDA approval process
  6. Mobile health cool: eye disease, DM, skin care ECG, few specialists in China, mobile tools
  7. Interoperability in Digital Health
  • Partner, Atlas Venture
  1. Only investment in drug discovery
  2. Segment genotypes – pure innovations as differentiators
  3. Patient Analytics, Physician-Patient SW development applications – scale broad audience – value add
  4. Focus on Medical Professions tool development for this sector
  5. Learning curve for novel productivity tools Cardiac MR – Imaging Analytics – Precision medicine not in drugs but in imaging
  6. M&A – activity 4 years time horizon, new biology new modality – risk is higher
  7. First in Class
  8. Translational Research and Drug discovery are two different beasts, doing drug development inside a basic research organization
  9. Coolest technology: CRISPR – one injection reduction in a genetic disease
  • Managing Director, US Medical Technology, Equity Research, Bank of America Merrill Lynch
  1. Medtech, CVD is exciting , i.e., Valve area, ICD, Stents, Stroke, AF,
  2. Medical devices – exciting
  3. No clear leader in Mitral Valve repair and Replacement by 2019 – approved products in Europe: Abbott, Medtronic (12), Edwards
  4. Value in the market exists for investors
  5. coolest technology: Stroke – stents in the barin
  • VP, Venture, Partners HealthCare
  1. 165million fund: Drugs, devices, diagnostics – ONLY from Partner COMMUNITY developed IP
  2. Orphan CVD driven by genomics
  3. Stratify the patients to show effects
  4. Exit for medical devices is longer than drugs with innovative business models
  5. Wearables are medical devices
  6. Data will be huge and valuable
  7. Skill set needed for Drug discovery and Academic science — DOES work well in one place
  8. Editas – Academic Center: Innovations everywhere
  • Managing General Partner, Frazier Healthcare Partners
  1. Drug development investment in early stage and in late stage
  2. Focus opportunities
  3. 3 to 5 years time horizon
  4. $50 – $60million investment range
  5. FDA – is central to HC investment
  6. FDA – changed regulation to enable antibiotics development
  7. FDA in Oncology – risk reward equation – FDA played great role in drug development
  8. Leukemia, non-Hodkin Limphoma
3:40 pm – 4:30 pm
Boston Scientific Ballroom
CLINICAL HIGHLIGHT: Optimizing Care for the 51%: New Market Opportunities

Introduction: Cathy Minehan, Chair, MGH Corporation

Address implications of gender as a key biological factor for personalized medicine. Stroke is likely to be the first cardiovascular event, tied to AF and secondarily to hypertension. Opportunities for medication utilization and optimization in context of, manifestation of disease and understanding the biology, complications, strategies to collect relevant clinical evidence, and treatment response.

 Nancy Brown,
  • CEO, AHA
  1. Biology or bias
  • Director, Center for Arrhythmia Prevention, Brigham and Women’s Hospital
  • Professor of Medicine, Harvard Medical School
  1. Focus on Women
  2. Diagnostics requires women – large trials and power studies by gender
  3. CRT,
  4. Optimizing care for Women
  5. EF, CHF, MI are prevalent in Women
  6. Migraine in Women – related to CVD
  • EVP & Head, Global Commercial Development, Mylan
  1. Information on differences between women and men – Cholesterol
  2. Woman present with different symptoms – more progress because care is delayed
  3. Stable angina and zero plaque cardiac rehab
  4. Female specific guidelines
  5. wholistic approach, girl scouts as a start
  • CV Therapeutic Area Lead, Global Business Development, Pfizer
  1. Number of women in trials? 25% – how to extrapulate from this data?
  2. How to design trials, powering, endpoints, clinical trials, FDA – mandates reporting of Women representation in studies
  3. Data Gap – retrospective study – 30% women, guidelines based on 70% Men data
  4. Awareness – who is the PCP to close the Gap
  5. OBGYN is often the PCP, the only Annual a Women goes to
  6. Precision medicine in Women, what is actionable what is not
  7. Harness Phynotypic leverage repository
  • Medical Director, Boston Scientific
  1. Women vs Minority Women – Improvement will occur if tools and strategies will represent all demographic
  2. Accurate measurements, Women participation in trials, Latinos, Minority Women – not as % in the population
  3. best practices and guidelines
  4. Awareness, nosea and fatigue as symptoms,
  • Co-Director, MGH Heart Center Corrigan Women’s Heart Health Program, Massachusetts General Hospital
  • Associate Professor, Harvard Medical School
  1. Heart attacks in Women and prevention, awareness among women
  2. Impact of Pregnancy: Preeclemxia, HTN, DM, hematologic disease, small gestation newborn, Minority Pregnant women – diet
  3. 30% less referred for Aortic stenosis or transplantation
  4. Care for Patient vs Episodic Care
  5. Stress in Women – metric to measure in PCP
  6. AI to be used in referral based on Medical data
  7. Migrane – several medications need to be studied on Women with the disease
4:30 pm – 5:20 pm
Boston Scientific Ballroom
Disruptive Therapeutic Platforms: New Tools, New Outcomes

Recent advances of biological drugs have broadened the scope of therapeutic targets for a variety of human diseases. This holds true for dozens of RNA-based therapeutics currently under clinical investigation for diseases including heart failure. These emerging drugs could be considered in context of genomic/germ line screening, family history and epigenetics.

Moderator: Tony Coles, MD
  • CEO, Yumanity Therapeutics
  1. one of three death in the World
  2. Limb Ischemia
  • CEO, Moderna
  1. mRNA, clinical stage, published Human data Immuno oncology, VGEF therapeutics after MI
  2. Recombinant VGEF, PK goes to the heart mascle if goes to serum is degraded by nucleatase
  3. Post MI in pigs, Phase I, Phase II
  4. Chronic response formulation short half life (6 days)
  5. Step by step, get the right protein
  6. Cardiology – mRNA drug for one patient
  • CEO, Editas Medicine
  1. CRISPR technology – translational medicine changes in DNA
  2. viral vector therapy delivery: Eye liver, blood — easier for delivery
  3. Immune response from delivery of CRISPR molecule: control over the time response of the molecule: Immunogenicity
  4. Using biology knowledge
  • Center for Cancer Immunology, Massachusetts General Hospital
  • Member of the Faculty of Medicine, Harvard Medical School
  1. Cancer Immune response plays a role
  2. CVD and the Immune System: Transfer from Oncology to CVD: Mutations on genes mutations are not silent to the immune systems — development of Vaccine
  3. Oncologists  in lung cancer saw immune response against their own tumors
  4. macrophage in the heart
  • CEO, Alnylam
  1. CVD Program – Phase III
  2. PCSK9 – as a target genetically defined mutation, Hyper-cholesteronemia – subcutaneous delivery – Lowering LDL by bi-annual injection or quarterly – non-complaint with Statin
  3. ADVANCED medicine for CVD
  • Founder, AnGes
  1. Gene therapy – pipeline of 8  –
  2. DNA Vaccine for HTN
  3. Muscular therapy – Ischemia
  4. CVD – Reduction comorbidity and mortality
5:20 pm – 6:00 pm
Novartis Foyer

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