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2019 Bio-IT World Announces Inaugural Innovative Practices Awards Winners

Bio-IT World | Bio-IT World has announced the winners of the 2019 Innovative Practices Awards. The winners were announced live at the Bio-IT World Conference & Expo. Entries from Abbvie, Novo Nordisk, and Sentieon were honored.

April 18, 2019 | BOSTON—Bio-IT World has announced the winners of the 2019 Innovative Practices Awards. The winners were announced live at the Bio-IT World Conference & Expo. Entries from Abbvie, Novo Nordisk, and Sentieon were honored.

Since 2003, Bio-IT World has hosted an elite awards program, highlighting outstanding examples of how technology innovations and strategic initiatives can be powerful forces for change in the life sciences, from basic biomedical research to drug development and beyond. This year we rechristened the awards the Innovative Practices Awards, recognizing partnerships and projects pushing our industry forward.

“These awards celebrate the dedication and innovation in the life sciences, and the winners chosen highlight the inspiring work being done in our industry,” said Allison Proffitt, Editorial Director of Bio-IT World. “The Bio-IT World Community is increasingly open, and the partnerships and projects showcased in this year’s award program prove our dedication to collaborative excellence.”

This year, a panel of expert judges joined the Bio-IT World editors in reviewing detailed submissions from pharmaceutical companies, academic centers, government agencies, and technology providers.

The awards ceremony was held at the Seaport World Trade Center in Boston, where the winning teams received their prizes from Proffitt and Philips Kuhl, president of conference organizer Cambridge Healthtech Institute.

2019 Bio-IT World Innovative Practices Awards

Winning Entries:

Abbvie nominated by Discngine

3decision – next generation structural knowledge management solution

Although wildly used, rational structure-based drug design (SBDD) techniques are far from being applied to their fullest potential. The major hurdles lie in the inconsistent data persistence and the complexity of analyzing structural data. Moreover, the structural data is often analyzed by domain experts only and their knowledge and experience are not well shared and exposed to other communities. Abbvie has addressed these pitfalls by co-developing a web-based structural knowledge management solution called 3decision. It allows Abbvie to transform a massive amount of data coming from in-house and public 3D structures and sequences, into applicable knowledge for drug discovery projects. The collaborative aspects within SBDD projects are in focus and the user interface allows all types of users to easily generate, test and connect their ideas with each other. The development of 3decision allowed Abbvie to dramatically increases the ROI of SBDD work and protein structure production.

Novo Nordisk nominated by Linguamatics

Integrating NLP to generate actionable insights from real world data

Novo Nordisk wanted to extract more value from the real-world data (RWD) being collected about the use of its products, so that commercial teams could better understand what patients and healthcare professionals were saying, and take appropriate action. Novo Nordisk used Linguamatics I2E to analyze three key RWD sources and extract well-structured data. The resulting information was then presented to the business users via Tableau-based self-serve dashboards, for exploration and insight generation. In addition, Novo Nordisk migrated I2E and Tableau to its AWS cloud-based global big data and analytics platform. This now provides business users and product teams with enhanced access to real world data around Novo Nordisk products for better derivation of actionable insights. With the new system, Novo Nordisk have reduced manual work by FTEs, reduced vendor spend, automated the process of generating insights, and significantly broadened access to these insights across a global team.

Sentieon

Sentieon DNAseq and TNseq software tools for NGS data processing-BWA/GATK drop-in- replacements

To aid the genomics industry without adding “yet another variant caller,” Sentieon identified BWA/GATK as high-quality tools because of the rigor of their mathematical models and resulting accuracy. Sentieon has improved on this foundation using redesigned computational algorithms with high efficiency, better usability, and 100% consistency. Sentieon’s software package realizes the same math as in BWA-MEM, GATK, MuTect, MuTect2 based pipelines, while using 3-10x fewer core hours, lower memory requirements, and achieving 100% consistency by removing downsampling and thread dependency. Sentieon software automatically scales to efficiently use all available CPU cores. Further, improved computational algorithms enable Sentieon software to joint-call large cohorts of tens of thousands of genomes without intermediate steps. As a result of these improvements, the Sentieon tools have been used to win PrecisionFDA Consistency Challenge and Truth Challenge awards and are currently used by customers around the world.

Honorable Mention:

Regeneron Pharmaceuticals and the RGC UK Biobank Consortium nominated by DNAnexus

The RGC UK Biobank Consortium Data Delivery and Cohort Browser

The UK Biobank (UKB) has collected and developed a biospecimen and data resource on over 500,000 individuals. The resource is of strategic importance to pharmaceutical companies, as it serves to understand how different factors influence disease. In collaboration with a consortium of pharma companies, The Regeneron Genetics Center has undertaken the exome sequencing and analysis of all 500,000 samples, using the DNAnexus Platform to host the dataset and run Regeneron’s software pipeline. To increase the value to the RGC UKB consortium, Regeneron and DNAnexus partnered to construct a combined database of the UKB genomic and phenotypic data to explore through an innovative “geno/pheno cohort browser” user interface. The cohort browser was designed to democratize data access, giving diverse teams the ability to browse through 3,000 phenotypic fields and 15,000,000 genomic variants across 100,000 samples and build cohorts.

SOURCE

https://www.bio-itworldexpo.com/programs

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Top 3 Ranked by Betweenness Centrality in Top 10 Influencers   Twitter Analytics by NodeXL for #WMIF19 by @PHSInnovation  at World Medical Innovation Forum ARTIFICIAL INTELLIGENCE, Boston, MA USA, Monday, April 8-10, 2019

 

www.worldmedicalinnovation.org

 

‘s Hashtags  – Twitter Analytics published for http://bit.ly/WMIF19 

  • [Top 10 by Mentions – @pharma_BI = 4 with 181 mentions]  
  • [Top 10 by Tweets @AVIVA1950 = 2 with 229 Tweets (N = 152 Direct messages)]
 Pinned Tweet

⚡️As World Forum comes to a close, here are TOP via ‘s Hashtags 🙏 to organizers for a stellar event & to all on for a robust conversation! 👏

 

Third Place in Top 10 Influencers 

  

 Tweets, N=152

 

SOURCE

https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=193125

 

#WMIF19_2019-04-09_09-37-27.xlsx

View an interactive version of this graph (experimental)

From:

Connected Action NodeXL-Reports

Uploaded on:

April 09, 2019

Short Description:

 

#WMIF19 via NodeXL http://bit.ly/2KB6cPN

@phsinnovation
@evankirstel
@aviva1950
@partnersnews
@beyondverbal
@dme_jun
@seemacms
@bwhihub
@massgovernor
@doylet

Top hashtags:
#wmif19
#ai
#healthcare
#artificialintelligence
#boston
#innovation
#wmif
#aiinpharma

Description:

 

Description

The graph represents a network of 731 Twitter users whose recent tweets contained “#WMIF19”, or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Tuesday, 09 April 2019 at 16:40 UTC.

The tweets in the network were tweeted over the 9-day, 18-hour, 32-minute period from Saturday, 30 March 2019 at 22:04 UTC to Tuesday, 09 April 2019 at 16:37 UTC.

Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.

There is an edge for each “replies-to” relationship in a tweet, an edge for each “mentions” relationship in a tweet, and a self-loop edge for each tweet that is not a “replies-to” or “mentions”.

The graph is directed.

The graph’s vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.

The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.

 

Highlighted in RED rankings for

@AVIVA1950

@pharma_BI

http://pharmaceuticalintelligence.com 

 

Top Influencers: Top 10 Vertices, Ranked by Betweenness Centrality

 

@phsinnovation
Smart Tweet

 

@evankirstel
Smart Tweet

 

@aviva1950
Smart Tweet

 

@partnersnews
Smart Tweet

 

@beyondverbal
Smart Tweet

 

@dme_jun
Smart Tweet

 

@seemacms
Smart Tweet

 

@bwhihub
Smart Tweet

 

@massgovernor
Smart Tweet

 

@doylet

 

Top URLs in Tweet in G3:

 

[3] https://www.fitzroyhealth.com/wmif
[2] https://worldmedicalinnovation.org/agenda/

[2] https://twitter.com/aviva1950/status/1115292614402695169 

[1] https://www.fda.gov/downloads/MedicalDevices/DigitalHealth/SoftwareasaMedicalDevice/UCM635052.pdf
[1] https://www.youtube.com/watch?v=AGhC864Wh-0

[1] https://www.youtube.com/watch?v=_wIO2EAM1xw

[1] https://twitter.com/happysylvie/status/1115639128455041025
[1] https://twitter.com/BayerUS/status/1114211171517784064
[1] https://twitter.com/BayerUS/status/1115245439173967872
[1] https://twitter.com/BayerPharma/status/1115259254003458049

 

Top Domains in Tweet in G2:

 

[26] twitter.com
[10] bwhclinicalandresearchnews.org
[6] worldmedicalinnovation.org
[5] linkedin.com
[2] lnkd.in
[1] connectwithpartners.org
[1] healthdatamanagement.com
[1] pharmaceuticalintelligence.com 
[1] youtube.com
[1] npr.org

 

Top Words in Tweet in G2:

 

[415] #wmif19
[236] phsinnovation
[163] #ai
[124] ai
[93] data
[91] dr
[82] care
[81] aviva1950 
[80] pharma_bi 
[78] healthcare

 

Top Mentioned in Entire Graph:

 

@phsinnovation
Follow Smart Tweet

 

@partnersnews
Follow Smart Tweet

 

@aviva1950
Follow Smart Tweet

 

@seemacms
Follow Smart Tweet

 

@pharma_bi
Follow Smart Tweet

 

@nvidia
Follow Smart Tweet

 

@brighamwomens
Follow Smart Tweet

 

@gehealthcare
Follow Smart Tweet

 

@massgovernor
Follow Smart Tweet

 

@evankirstel
Follow Smart Tweet

 

 

 

Top Mentioned in G1:

 

@phsinnovation
Follow Smart Tweet

 

@partnersnews
Follow Smart Tweet

 

@gehealthcare
Follow Smart Tweet

 

@nvidia
Follow Smart Tweet

 

@aviva1950
Follow Smart Tweet

 

@seemacms
Follow Smart Tweet

 

@kieranmurphyceo
Follow Smart Tweet

 

@constancelehman
Follow Smart Tweet

 

@terribresenham
Follow Smart Tweet

 

@bayer
Follow Smart Tweet

 

Top Mentioned in G2:

 

@phsinnovation
Follow Smart Tweet

 

@aviva1950
Follow Smart Tweet

 

@brighamwomens
Follow Smart Tweet

 

@partnersnews
Follow Smart Tweet

 

@pharma_bi
Follow Smart Tweet

 

@massgovernor
Follow Smart Tweet

 

@massgeneralnews
Follow Smart Tweet

 

@bwhihub
Follow Smart Tweet

 

@chencao
Follow Smart Tweet

 

Top Mentioned in G5:

 

@evankirstel
Follow Smart Tweet

 

@phsinnovation
Follow Smart Tweet

 

@irmaraste
Follow Smart Tweet

 

@evirahealth
Follow Smart Tweet

 

@philips
Follow Smart Tweet

 

@aviva1950
Follow Smart Tweet

 

@pharma_bi
Follow Smart Tweet

 

@health_xl
Follow Smart Tweet

 

@nvidia
Follow Smart Tweet

 

@edvaldez8888
Follow Smart Tweet

 

 

Top Domains in Tweet in G2:

 

[26] twitter.com
[10] bwhclinicalandresearchnews.org
[6] worldmedicalinnovation.org
[5] linkedin.com
[2] lnkd.in
[1] connectwithpartners.org
[1] healthdatamanagement.com
[1] pharmaceuticalintelligence.com 
[1] youtube.com
[1] npr.org

 

Top Words in Tweet in G2:

[415] #wmif19
[236] phsinnovation
[163] #ai
[124] ai
[93] data
[91] dr
[82] care
[81] aviva1950 
[80] pharma_bi 
[78] healthcare

 

Top Word Pairs in Tweet in Entire Graph:

 

[131] phsinnovation,#wmif19
[129] medical,innovation
[105] world,medical
[102] pharma_bi,aviva1950 
[101] innovation,forum
[59] #wmif19,phsinnovation
[55] looking,forward
[52] first,look
[51] jensen,huang
[47] #wmif19,evankristel

 

Top Word Pairs in Tweet in G1:

 

[36] phsinnovation,#wmif19
[23] innovation,forum
[22] world,medical
[22] medical,innovation
[20] #wmif19,phsinnovation
[20] nvidia,ceo
[19] jensen,huang
[18] pharma_bi,aviva1950 
[18] #wmif,#wmif19
[17] looking,forward

 

Top Word Pairs in Tweet in G2:

 

[77] pharma_bi,aviva1950 
[72] phsinnovation,#wmif19
[50] medical,innovation
[38] #wmif19,evankristel
[38] evankristel,pharma_bi 
[31] first,look
[30] today,s
[25] world,medical
[25] innovation,forum
[24] aviva1950,phsinnovation 

 

 

Top Replied-To in Entire Graph:

 

@phsinnovation
Follow Smart Tweet

 

@pharma_bi
Follow Smart Tweet

 

@constancelehman
Follow Smart Tweet

 

@massgovernor
Follow Smart Tweet

 

@seemacms
Follow Smart Tweet

 

Top Replied-To in G2:

 

@phsinnovation
Follow Smart Tweet

 

@pharma_bi
Follow Smart Tweet

 

@massgovernor
Follow Smart Tweet

 

@brighamwomens
Follow Smart Tweet

 

@masseyeandear
Follow Smart Tweet
@landmaad
Follow Smart Tweet

 

@peterrchai
Follow Smart Tweet

 

@gilpress
Follow Smart Tweet

 

@nancyatheart
Follow Smart Tweet

 

@brighamresearch
Follow Smart Tweet

 

Download the Graph Data as a NodeXL Workbook

Download the Graph Data as GraphML

Download the NodeXL Options Used to Create the Graph

 

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Tweets, ReTweets and Likes by @AVIVA1950 and by @pharma_BI using @PHSInnovation and #WMIF19 during Day One, Two and Three of World Medical Innovation Forum ARTIFICIAL INTELLIGENCE, Boston, MA USA, Monday, April 8-10, 2019

Real Time Twitter User, Daily e-Proceedings Producer at the event and Curator: Aviva Lev-Ari, PhD, RN

 

www.worldmedicalinnovation.org

 

Third Place in Top 10 Influencers

Twitter Analytics by NodeXL

 

Tweets, N=152

 

Top 3 Ranked by Betweenness Centrality in Top 10 Influencers   Twitter Analytics by NodeXL for #WMIF19 by @PHSInnovation  at World Medical Innovation Forum ARTIFICIAL INTELLIGENCE, Boston, MA USA, Monday, April 8-10, 2019

https://pharmaceuticalintelligence.com/2019/04/11/top-3-ranked-by-betweenness-centrality-in-top-10-influencers-wmif19-phsinnovation-evankirstel-aviva1950-tweeter-analytics-by-nodexl-http-bit-ly-2kb6cpn-for-wmif19-by-phs/

 

  1. e-Proceedings LIVE Day Three – World Medical Innovation Forum ARTIFICIAL INTELLIGENCE, Boston, MA USA, Monday, April 10, 2019 via

  2. ⁩ ⁦ #1 Alexandra Golby – Reimagining Medical Imaging imaging companies will become very numerous with innovations not enough radiologists

  3. Amazing Disruptive Dozen Technologies ⁩ ⁦ Third Annette Kim streamlining Diagnosis Second Thomas McCoy prediction of Suicide risk FIRST Alexandra Golby Neurosurgery Imaging AI based system real time dynamic data intraop

  4. ⁩ ⁦ Dozen Disruption technology #2 Thomas McCoy – Better Prediction of risk analysis the premise is better that Best of Practice in

  5. ⁩ ⁦ #3 Annette Kim – Streamlining Diagnosis great role to play in digital pathology at

  6. ⁩ ⁦ Disruptive Dozen: 12 Technologies that will reinvent AI in the Next 12 Months input from 60 interviews around Partners judging criteria innovations, technologies close to make to market

  7. ⁩ ⁦ Dr. Isaac Galatzer-Levy – NYU & AiCure All CNS diseases are heterogeneous ML requires collaboration AiCure – Medication adherence monitoring from Voice of patients

  8. ⁩ ⁦ Husseini Manji, MD Global Therapeutic Head, Neuroscience Janssen R&D Conditions of Brain & Mind – declining cognitive Democratization of discovery Algorithms — FDA approved algorithm needs several versions in the future

  9. ⁩ ⁦ Alfred Sandrock, MD, PhDEVP and CMO, Biogen MS – follow patients, patient reporting in 10 centers , vision cognitions -Obtain measurement even on normal people for early detection – FDA introduced Stage 1,2,3 Biomarker based

  10. Chief Neurology @MGH leads an amazing panel on prediction of human performance & neurological diseases ⁩ ⁦ best for complex tracking disease early detection passive assessment 10yrs AD

  11. ⁩ ⁦ Deepak Chopra, MD – Body-Mind Connection “Thoughts on being aware” can’t be replicate by enhanse creativity, learning off line and online, perception kit of Deepak BOT – continue to learn from all the knowledge Chopra

  12. ⁩ ⁦ Deepak Chopra, MD Vitals emotional well being emersive augmented longer Telemerese – anti aging correlation biomarkers vs states of energy wisdom best knowledge for self awareness – highest intelligence – NOT artificial

  13. Tanzi with Tanzi deep learning conscience three books Super genes been controlled welling technology trends personalized wellbeing augment lifestyle IOT blockchain Aware platforms augment communal experience neurotaropics are immunomodulator

  14. Betsy Nabel, BH STEFAN Oelrich, Bayer AG was discovered in 1889 treat pain secondary prevention for heart attach and stroke value chain paperless production R&D molecule design Clinical development increase outcome by patient selections for physicians

  15. Serum miRNA Neural Networks for cancer screening using blood sample for multiple cancer types Kevin Elias HMS cloud computing reporting miRNA RAPID analysis time 3 hrs robotics in Lab cancer screening CHANGING ⁩ ⁦

  16. @MGH Integrated Diagnosis prediction of unnecessary surgeries in Breast lesions -risk score: research data set needs continued acquisition in clinics digitize 1000 slides hi risk lesions ⁩ ⁦

  17. Organ Configuration Motion (OCM) acquired MRI abs Synthetic MRI BOOSTING TEMPORAL RESOLUTION of MRI OCM ML electrodiogram-like for cardiac imaging ⁩ ⁦

    Translate Tweet

  18. Glandular complexity of the endometrial glances training sets and validation sets @PHSInnovations LARGER GLANDES more discriminative for neoplasticism detection

  19.   Retweeted
  20.   Retweeted

    As Pres. Edward Abrahams notes, PMC is dedicated to ecosystem of shared value through for patients & systems. Today’s ”Research & Adoption” forum w/ brings us a step closer. Thank you NC Biotech, , , for making it possible

  21.   Retweeted

    Congratulations– Former Damon Runyon Fellow ’s paper on rescuing neurons was chosen as editor’s pick in the 2019 competition.

  22.   Retweeted

    A tour-de-force from Allon Klein and Mikael Pittet. Human and mouse lung cancer single cell transcriptomics. A feast of monocytes neutrophils and more!

  23.   Retweeted

    Over the course of a lifetime, 12% of women have a risk of breast . But guidelines recommend screening 100% (w/ 60% false positive rate over 10 yrs!). When do we move from “average-risk” to add polygenic risk score?

  24. e-Proceedings LIVE Day Two – World Medical Innovation Forum ARTIFICIAL INTELLIGENCE, Boston, MA USA, Monday, April 9, 2019 via

  25. ⁩ ⁦ Biobank Awards

  26. ⁩ ⁦⁩ Kye Rhee augmented humanity can increase transparency Skills of Clinician in training comes from the data diversity to be consider in cohort monitoring small samples for training model

  27. in many solutions possible technology investors vs product investors team and people are key, Hubris needed innovations in regulated healthcare different than serial tech building infrastructure

  28.   Retweeted

    Our newly announced collaboration w/ combines both companies’ scientific and technological expertise and will build on Alnylam’s recent pre-clinical data showing potent and highly durable delivery of therapies to achieve target in the eye and CNS.

  29.   Retweeted

    One of the biggest challenges to cloud-based personal health records: what happens when tech companies shut them down? Looks like deja vu all over again? shutting down

  30. ⁩ art graphics original for the conference ⁦

  31. Mark Benjamin, technology call center biometrics bear burden of 2/3 of day documentation burnout attrition among MDs serving 600,000 MDs offer to MD with Patient “keyboard removal” voice to document 2 hrs

  32. enabled cultural adoption of by early of are excited applIed for each for treatment the selected in context recommendation based on other patients same disease

  33. Amazing search CRISPR @pharmaceuticutalintelligence.com

  34. CEO Roundtable Bayer, Phillips, GE Siemens embedded AI to read images, guide system by training on virtual patient adoption of roles beyond technology platform developed by each vs partnerships CIOs looks for productivity open platform point solutions using AI on top of platforms

  35. 24th Secretary HSS 28K average cost of healthcare of average family. Drug cost Part D more protection for seniors competition upfront discounts generic drug affordable short term insurance plans, high cost HC services NP consolidation of facilities vs Medicare for all

  36. Ash Carter model insist upon conduct and behave stick up for people reinforce good the force depend on networks 100,000 IT training young retrain middle age productive life long education teaching Technology is fast lane to help in retraining social media curation

  37. Structuring the data 14 month production of tool ⁦⁩ ACCIDENTAL SCREENING and selection of patient for different treatments ⁦⁩ ⁦

  38. Regina Barzilay ⁦⁩ – no standards of publishing applications on AI in Clinical Trials or on patient data in Medicine ⁦

  39. ⁩ ⁦ lack of in in last five years change large data sets in is not Science frontier not set up for new

  40.   Retweeted

    Phew! We’re on a quick break between First Look sessions. It’s the perfect time to grab coffee and catch the highlights from this morning’s Brigham talks on CRN: Come back soon for more updates.

  41.   Retweeted

    Kovacheva and her team have many future plans including trail for other surgeries such as knee and hip replacements.

  42.   Retweeted

    Tom Lynch “clinical trials system is equally broken on both sides” (academia and industry). Panel on RWE and trial optimization in the AI era

  43.   Retweeted

    Dr. Connie Lehman of talks about how can enhance screening test performances in breast densities.

  44.   Retweeted

    Joseph Schwab, MD, Chief of Orthopaedic Spine Surgery at , discusses algorithm use in orthopedics and how their applications have branched out beyond their department into Partners.

  45.   Retweeted

    , thanks for lending us to present at today! It was fantastic to learn more about the incredible impact you are having in simplifying and improving the quality of diagnosis using cutting edge AI.

  46.   Retweeted

    ‘s Nazlee Zebardast, MD, Instructor of Ophthalmology, discusses how deep learning can assist with identifying glaucoma risks and creating multimodal models for automating detection to help with improving prediction rates.

  47.   Retweeted

    Must see if interested in solving the opioid crisis. is at the cutting edge innovating with AI, data, wearables and other tech, policy and education. I don’t know when he sleeps. Be sure to ask him about program for opioid and pain innovation.

  48.   Retweeted

    AI should help us get away from treatment guidelines, currently based on the average (white male) patient, instead of what’s actually best for the individual patient, allowing precision medicine to become the norm.

  49.   Retweeted

    Dr. Devoy of : I think what we’re now facing is a number of areas where if we don’t find new ways of operating and running clinical trials, we’ll be denying innovation in product and care.

  50.   Retweeted

    will help us rehumanize health care by allowing us to innovate and spend more time with patients, says Dr Gregg Mayer Wonderful session

  51.   Retweeted

    Let’s be smart about our healthcare programs. Isn’t it better to give patient a smartphone + data (maybe $1000 cost in total) if it avoids 2 ER visits that cost payer > $10000?

  52.   Retweeted

    Team ⁦⁩ will be at World Medical Innovation Forum in ! Meet us to discuss how can Change the Experience of ! APPLY

  53.   Retweeted

    @”You can build the next healthcare AI app that saves lives – yes, YOU” on ⁦

  54.   Retweeted

    “We’re the nation’s largest insurer, and we have a very large data set. The idea with the challenge is to invite innovators to use that data to identify patients at risk of unplanned admissions.

  55.   Retweeted

    At be realistic about opportunity and the unintended consequences of new technology in – held to a higher standard. Data privacy and responsibility in practice in medicine.

  56.   Retweeted

    There’s a huge responsibility to the public to get AI right, says Baker. “People think differently about what they expect from the healthcare world.”

  57.   Retweeted

    Our Chief of Population Health, Dr. Sree , is hosting a Fireside Chat with Administrator and has asked about CMS’ health outcomes challenge announced recently.

  58.   Retweeted

    All set for the CEO Roundtable this Tuesday. We’ll discuss , and hot topics in the field of . You can follow this exchange online, here:

  59.   Retweeted

    Huang: we understand is part of the larger field of data science. We figured out that it’s not just about data centers, but clouds, and the edge, working together.

  60.   Retweeted

    Dr. Amy Abernathy of talks about areas to identify monitoring resources and drug approvals. “We have places where computational methoding has made a difference.”

  61.   Retweeted

    Huang: Data and the loop [of data coming in, planning and actuating] will be continuous – in the future, not only will your software be defined, but the more important thing: your company needs to be software-defined. In the future, all our companies will become .

  62.   Retweeted

    Panel discussing the role of artificial intelligence to address opioid overdose crisis. ⁦⁩ — AI work needed to expose provider biases, screen pts for SUD/ , predict real-time risk of overdose (and what to do with that info) ⁦

  63.   Retweeted

    Massachusetts remains at the forefront of medical innovation, technology, and research. Pleased to attend today’s World Medical Innovation forum in Boston to share some of what our Administration is doing to ensure the Commonwealth remains a national leader in this space. – at The Westin Copley Place

  64.   Retweeted

    Susan Hockfield, president emerita & a colleague moderates opening panel, brings up AI hype & ethics, while staunch advocate of convergence, excited about need & promise of compsci & AI in healthcare. Always love watching her in action, so accomplished

  65.   Retweeted

    ’s Udo Hoffman, MD: One area for more efficient AI is in using existing cardiovascular imaging; “hope” is for increased emphasis on value of imaging

  66.   Retweeted

    “There is a lot of promise in , especially in the space. We have the opportunity to help make physicians smarter and get us out of the analog age through better use of data.” -Sebastian Guth

  67.   Retweeted

    “Medicine right now is like expecting Netflix to know what you want to watch but you’re not even a subscriber to Netflix. It’s about trying to apply data from other people to you, and that’s not always how it works,” says Calum MacRae.

  68.   Retweeted

    ⁦panel led by Dr. Calllum McRae of ⁦⁩ from ⁦⁩ talking of building platforms using for transforming clinical workflows for cardiovascular care management!

  69.   Retweeted

    . Chief Pop Health Officer Sree Chaguturu interviews for the final session of the day – at The Westin Copley Place

  70.   Retweeted

    Merging data islands and dispersed data sets will help us to process significant data faster and more efficiently, Dr Sebastian Guth

  71.   Retweeted

    president of Pharma Sebastian Guth on reinventing cardiovascular care through to make physicians smarter on clinical decision making and ultimately help patients like Mike Burke (far right)

  72.   Retweeted

    Honored to join Kris Joshi , Simon Stevens , & Timothy Farris for a robust discussion on driven Value-Based Care.

  73.   Retweeted

    . echoes industry concerns there’s an “abyss” aka “valley of death” between when approves/clears devices and when reimburses them.

  74.   Retweeted

    ⁦⁦ interviewing⁩ ⁩ on recent CMS initiatives: “We went from paper filled cabinets to electronic silos” ⁦

  75.   Retweeted

    Interoperability means collecting all data from the time a baby is born in one place. If you combine that with AI, it’ll give incredible insight into where the individual is and where they need to be, says

  76.   Retweeted

    A packed house at the 2019 World Medical Innovation Forum! Hour by hour the future of health care revealed and assessed. ⁩ ⁦

  77.   Retweeted

    “One of our concerns is privacy and security. We’re dealing with very vulnerable populations. When we think about policy, our goal has to be ‘patients first,'” says Verma.

  78.   Retweeted

    . describes the incentives and penalties built into policies to enable for patients, clinicians, and all actors in healthcare decisions.

  79.   Retweeted

    Seema Verna, Administrator of the Centers for Medicare & Medicaid. She oversees $1 Trillion budget or 26% of overall Federal budget.

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    Thanks to our media collaborators and

  81.   Retweeted

    Thanks to the many marketing affiliates

  82.   Retweeted

    “What we need to do is get government out of the way and make sure we are supporting innovators in what they do best.”

  83.   Retweeted

    Miss any of the panels today? Don’t forget to check out our YouTube channel to see the all of the content from today!

  84. LIVE Day One – e-Proceedings World Medical Innovation Forum ARTIFICIAL INTELLIGENCE, Westin Copley Place, Boston, MA USA, Monday, April 8, 2019 via

  85. Seema Verma, Administrator, CMS, home button 2.0 – claims data used by developer for application in API available security and privacy are issues data operability is key claims wearable data will advance cure value based ⁦

  86. Cardiovascular care is reinventing clinical cardiology ⁩ ⁦ patient data analyzed for CVD drug therapy identify an indication assistance to patient wholistic care 10% of death is attributed to wrong diagnosis

  87. ⁩ ⁦ took 16 years to make will expedite to be used in coordination of care -office functions use prior testing with

  88. ⁩ ⁦⁩ ⁦ Trial Optimization in Era PATIENT in the center variation in care biaspatient-center ness its experience between trial visits across continuum of care streamline trials no replace randomized

  89. CEO NVIDIA contribution NN software writing software got 2019 Turing Award Atom consortium for drug discovery to reduce combinatorics data fusion methods of computation new direction ML DL REPEATABLE

  90. @partnersinnovation monitoring needed to prevent bias, ethical issues, drive decision making from question control data is the derived format ⁦

  91.   Retweeted

    On for caregivers,

  92.   Retweeted

    Interesting stuff at , . Like the below. cc

  93. Start ups using in impressive ⁦⁩ AI for drug discovery molecule selection tools

  94.   Retweeted
  95.   Retweeted

    Can we also start to look at things in the home setting through things such a phones, sensors and more strategic programs such as led by

  96.   Retweeted

    ‘s company Insilico is applying and developing to “leapfrog years of pharma R&D.”

  97.   Retweeted

    provides for skin lesions in 43 secs!

  98.   Retweeted

    Attending Anesthesiologist Dr. Vesela Kovacheva, PhD at , highlights how to harness the power of to automate drug infusions in the OR and ICU.

  99.   Retweeted

    Dr. Kovacheva shares the burdens, emotionally, physically and financially, of low maternal blood pressure, and how her team is working to create an anesthesia automation system (AAS).

  100.   Retweeted

    Dr. of talks about powered diagnostic reporting tools for spinal MRIs of degenerative disease during his First Look presentation.

  101.   Retweeted

    DeepSPINE is an automated and accurate system that assists with populating algorithmic outcomes into standardized report templates, focusing on machine-learning literature, integration into preexisting workflows and clinician acceptance.

  102.   Retweeted

    The last presentation before the break comes from Dr. Li Zhou, PhD of on how can help predict patient clinical trajectories and provide personalized care at the appropriate times, e.g. during palliative care delivery.

  103.   Retweeted

    Satrajit Ghosh, PhD, kick off the second half of First Look with how modern sensing using brain imaging, smartphones and advances to improve assessments and treatments for and neurological disorders.

  104.   Retweeted

    Ghosh shares research from on phoneme durations and levels of depression: “Spoken communication contains a lot of information…to track health.”

  105.   Retweeted

    “The future of cognitive and behavioral assessment will be digital.” Dr. Laura Germine of shares how the MAIAD approach (Machine-Assisted Iterative Assessment Development) can help quantify cognitive, behavioral and neuropsychological functions.

  106.   Retweeted

    Dr. Germine: The collection of large scale data will help with insights we otherwise wouldn’t realize.

  107.   Retweeted

    Dr. Germine: the premise of Test My Brain is to start with engagement, generalizability, accessibility and ecological contexts.

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    Dynho Do, PhD, of , talks about how his team created a explainable, deep-learning algorithm for image detection of acute intracranial haemorrhage (ICH).

  109.   Retweeted

    Federico Parisi, PhD, of discusses mobile health technologies for monitoring motor fluctuations in patients with disease, and the potential to use wearables to accurately estimate clinical symptom scores.

  110.   Retweeted

    Parisi: There’s a clear need of an objective an continuous tool to track symptoms. With mHealth we can mimic clinical evaluations, and through wearables can estimate scores of symptom severity.

  111.   Retweeted

    Tina Kapur, PhD, . addresses the audience on how to use to better visualize needles in ultrasound-guided liver biopsies “to be safer for the patient and easier for the physician.”

  112.   Retweeted

    Kapur: “What we would like to do is use methods from so the physician can see the needle in its entire length when it’s visible in the image – no matter how poor the ultrasound quality is. It shouldn’t be dependent on the operator’s experience.”

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    “A major cause of death and disability worldwide is stroke; 15M people suffer a stroke each year and 5.8M people die from it” – can help! A new approach to the problem is being developed by Dr. Synho Do and the MGH team

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    “Missed diagnoses are believed to occur in almost 1 in 6 diagnoses. Something that may seem obvious, in the heat of the moment, may not be.” Dr. Henry Chueh, Director of Lab of Computer Science.

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    Dr. Chueh explains the premise of Dxplain, where can help show clinicians possible common, rare and urgent conditions that should be considered based on the patient’s clinical presentations.

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    Dr. Sandro Santagata of shares how his group is developing an information resource including data analysis, visualization and management software for developing pre-cancer and cancer atlases.

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    Director of 3D Imaging Research at , Hiroyuki Yoshida, PhD, shares -imaging for patient-friendly colon cancer screenings, including a laxative-free computed tomographic colonography.

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    Dr. Lisa Nickerson of wraps up First Look with a discussion on how digital phenotyping and machine learning can help forecast, detect and prevent drug overdose deaths.

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    Dr. Nickerson: is a solution to helping prevent opioid overdose? Many provide opioid addiction information, but apps can now crowd-source the nearest available naloxone for administration.

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    Which of the Discovery Café sessions are you most excited about? We can’t decide. pitches

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    ⚡️ – First Look”

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    Incredible the difference a day can make! I’m proud to be kicking off the World Medical Innovation Forum today in Boston. Follow along with us and .

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    Come visit our booth to see how is transforming healthcare. Our models detect and quantify health conditions like stroke, lumbar spine degenerative disease and aortic aneurysm. 3rd floor at Westin Copley Place.

  124. brain tumor computation tissue sample mass spectrometry multiple markers during surgery

  125. ecological valid measure of processing speed, new tools both innovative and highly on validity -_BI

  126.   Retweeted

    This morning, we are sharing LIVE UPDATES from ! Check for updates from First Look throughout the morning.

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    Dr. Huang and his colleagues use to identify proteins and enzymes that are potential druggable targets for diseases like cancer, Alzheimer’s and depression.

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    introduces Connie Lehman, MD, PhD, Chief of Breast Imaging Division, to discuss -based care delivery in curing cancers, particularly breast cancer.

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    Ghosh: We think speaking is an insight into the mind.

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    Ever more sophisticated brain scans are combining with to produce tools that can track thoughts, test truthfulness and someday, perhaps, download our very selves

  131.   Retweeted

    putting the finishing touches on the main stage of . Feel free to follow along through Wednesday — both the Partners and Innovation teams will be live-tweeting the Forum.

  132.   Retweeted

    “We provide explanations to providers and individuals to show how the information applies to each individual.”

  133.   Retweeted

    Dr. Connie Lehman shares more about their deep learning goals at .

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    Now on stage: Dr Vesla Kovacheva presents her work on automating titration of drug infusions using machine learning. – at The Westin Copley Place

  135.   Retweeted

    “Our largest challenge is like finding a needle in a haystack.”

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    Dr. Zebardast explains how deep learning can assist in identifying individuals at high risk through classifying photographs and finding what the machine was looking for through classification.

  137.   Retweeted
    Replying to 

    See you at the EM discovery cafe today at 11:45! colleagues and more on sensors, informatics, data, in emergency medicine.

  138.   Retweeted

    “If we can detect earlier, we can reduce the cost, burden, and unnecessary blindness.”

  139.   Retweeted

    Vesela Kovacheva shares plans to harness the power of machine learning to predict how much blood pressure medication a c-section patient will need in the next moment. Follow LIVE updates on her work and more here

  140.   Retweeted

    “Our pilot is to assist with maintenance of blood pressure during c section.”

  141.   Retweeted

    Fantastic to see Dr. Gibbons present his extensive work on patient-reported data tools featured on stage

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    The first First Look is from Bharti Khurana, MD, of addressing Intimate Partner Violence.

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    Dr. Li Zhou of talks about addressing multiple unmet needs in palliative care for patients with dementia — and how can help with mortality risk in these patients to serve as proxy indicators.

  144.   Retweeted

    Chris Sidey-Gibbons, PhD, talks about improving response burden through computerized adaptive testing.

  145.   Retweeted

    Up first in this morning’s presentations is Bharti Khurana, MD discussing her project “Making the Invisible Visible: Bringing Intimate Partner Violence into Focus”.

Read Full Post »

LIVE Day Two – World Medical Innovation Forum ARTIFICIAL INTELLIGENCE, Boston, MA USA, Monday, April 9, 2019

Reporter: Aviva Lev-Ari, PhD, RN

www.worldmedicalinnovation.org

The Forum will focus on patient interactions across care settings, and the role technology and data can play in advancing knowledge discovery and care delivery. The agenda can be found here.

https://worldmedicalinnovation.org/agenda/

Leaders in Pharmaceutical Business Intelligence (LPBI) Group

represented by Founder & Director, Aviva Lev-Ari, PhD, RN will cover this event in REAL TIME using Social Media

@pharma_BI

@AVIVA1950

@PHSInnovation

#WMIF19 

3.1.3

3.1.3   LIVE Day Two – World Medical Innovation Forum ARTIFICIAL INTELLIGENCE, Boston, MA USA, Monday, April 9, 2019, 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

Tuesday, April 9, 2019

7:00 am – 8:00 am
7:00 am – 5:00 pm
7:40 am – 7:50 am
Bayer Ballroom

Opening Remarks

  • Chief Innovation Officer, PHS; President, Partners HealthCare International
7:50 am – 8:40 am
Bayer Ballroom

Implementing AI in Cancer Care

With AI-enabled care strategies and digital technologies, clinicians and patients are embracing new approaches to improve the lives of cancer patients through enhanced diagnosis and treatment. These include AI-guided tools for more precise methods of predicting risk, more effective screening strategies, patient data driven insights  and more personalized treatments. Panelists will engage on how these and other innovations are enabling a new era of cancer care.

  • Chief, Breast Imaging Division, MGH; Professor of Radiology, HMS
  • FDA
  • President and Co-Founder, LunaDNA
  • Patients contribute personal data get share in the company
  • democratization by AI use
  • unrepresented population in research
  • education on technology
  • Retrospective and longitudinal studies
  • Bid Trust engaging responsively
  • Delta Electronics Professor, Electrical Engineering and Computer Science Department, MIT
  • developper of AI based applications @MGH Cancer Center
  • Training AI on 3% of population vs randomized that has its bias of patient selection
  • no standards of publishing AI in medicine
  • AI to help women
  • Integration of systems to help patients
  • Director, Cancer Genome Analysis, Broad Institute; Professor, Pathology, HMS
  • AI for early detection
  • big data analysis – noise vs point of signals
  • drug resistance using genomics
  • AI – regulate the type information reviewed by doctors
  • data acquisition and monitoring along the life of the product not only till FDA approve it
  • Reporting adverse events
  • Data cost of sequencing is dropping, biomarkers,
  • regulatory needed to adopt AI and reimbursement starts at academic center followed by the entire country
  • CEO, insitro
  • AI for drug discovery
  • epigenetic effect on lesions
  • Physician are over promised on Genomics, asking them to use complex data from multiple source need be curated before it gets to Physicians
  • Reversed clinical trial vs randomized 30 years follow up
  • Data is anonymized used in research contributors get back own diagnosis genomics understanding
8:40 am – 9:30 am
Bayer Ballroom

Imagining Medicine in the Year 2054

In 1984 Isaac Asimov was asked to predict what life in 2019 would be like. Using the same aperture, we as what will constitute health care 35 years from now? Current trends suggest that there will be significant gains in immunotherapy, gene therapy, and breakthrough treatments for neurologic, cardiovascular and oncologic diseases. Panelists will draw on their visionary perspective and will reflect on what to expect and why.

Moderator: Keith Flaherty, MD
  • Director, Clinical Research, Cancer Center, MGH; Professor of Medicine, HMS
  • CEO, Flagship Pioneering
  • Vice Chair for Scientific Innovation, Department of Medicine, BH; Associate Professor of Medicine, HMS
  • Director, Cellular Immunotherapy Program, Cancer Center, MGH; Assistant Professor, Medicine, HMS
  • Vice-Chair, Neurology, Director, Genetics and Aging Research Unit, MGH; Joseph P. and Rose F. Kennedy Professor of Neurology, HMS
9:30 am – 9:50 am
9:50 am – 10:15 am
Bayer Ballroom

1:1 Fireside Chat: Ash Carter, U.S. Secretary of Defense (2015 – 2017)

Moderator: Gregg Meyer, MD
  • Chief Clinical Officer, PHS; Professor of Medicine, HMS; 2019 Forum Co-Chair
  • U.S. Secretary of Defense (2015–2017)
10:15 am – 10:40 am
Bayer Ballroom

1:1 Fireside Chat: Honorable Alex Azar II, Secretary of Health and Human Services

Moderator: Gregg Meyer, MD
  • Chief Clinical Officer, PHS; Professor of Medicine, HMS; 2019 Forum Co-Chair
  • 24th Secretary of Health and Human Services
  • quality cate means outcomes
  • Pricing Transparency by HMOs and Hospitals
  • Plan D – instant electronic to Drug Pricing information
  • Medicare moves away from Procedure based payment
  • Data on services, drugs and procedures in a Patient-centered system
  • Big data, pricing information, CMS
  • AI inspector General – Claims – AI – do get yield
  • AI in procurement
  • AI for services to Medicare – prescription Tools for advising Patients on best drug to use based on medcial information
  • Patient HC information is owned by Pations and is portable
  • Blue Data 2.0 – access record by patients @CMS
10:40 am – 11:30 am
Bayer Ballroom

CEO Roundtable

Chief executives share perspectives on the impact of AI on their respective companies and industry segments. Panelists will discuss their views of AI, how AI figures into their organizations’ current product and investment strategies, and how they are measuring return on existing AI investments. The panel will also address opportunities and challenges surrounding AI, ranging from workforce needs to managing bias in AI development.

Moderator: Anne Klibanski, MD
  • Interim President and CEO, Chief Academic Officer, PHS; Laurie Carrol Guthart Professor of Medicine, HMS; 2019 Forum Co-Chair
  • Partnerships between companies like : GE, Phillips, Siemens
  • CEO, Philips
  • efficiencies and outcomes
  • adaptive intelligence to be integrated AI 1.8Billion Euro invested 600 scientists
  • collaboration with Dana Farber
  • Design thinking – work with clinicians to get insights on experience with technologies
  • system change for delivery of care
  • Open API – federated data architecture EMR companies will also need to adapt
  • Phillips builds centers in Pittsburgh, Cambridge, Amsterdam, Paris
  • EVP, Head, Pharmaceuticals Research and Development, Bayer AG
  • AI – R&D efficiency
  • Disruptive approaches optimization of synthesis of chemical reactions productivity and selection of molecules
  • In house data science expertise vs image pattern recognition of HTN collaboration with Merck
  • Collaboration with MIT on clinical Trials
  • changing provides vs longitudinal care
  • Access to talent – Data scientists Amazon is a competitor on talent for AI SKILLS DOMAIN EXPRET TOPIC
  • R&D AT BAYER – DATA SCIENCE IN each division
  • CEO, Siemens Healthineers
  • 400 research collaborations
  • “analog” way innovations generations
  • CEO, GE Healthcare
  • HC – Clinical command center in Hospitals collaboration with Partners
  • Investment is in platforms vs applications – Edison platform tool kits – Radiologist will develop their own on top of PLATFORMS from GE
  • Clinicians productivity will change with AI
  • Data scientist new identity – bigger developers of systems
11:30 am – 11:35 am
Bayer Ballroom
11:35 am – 11:45 am
11:45 am – 1:00 pm

Discovery Cafe Sessions

Lunch with Experts: Intensive sessions addressing cutting-edge artificial intelligence topics.

Provider Back Office of the Future

The application of AI-based technologies to the business side of health care — including functions such as billing, payment, and insurance claims management — could lead to significant improvements in health care operations and efficiency, with billions of dollars in savings each year. Panelists will discuss emerging tools and technologies as well as the opportunities and pitfalls of using AI to innovate and automate back office functions.

Moderator: Peter Markell, EVP, Administration and Finance, CFO and Treasurer, PHS

Inge Harrison, CNO/VP of Strategic Advisory Services, Verge Health

Kent Ivanoff, CEO, VisitPay

Mary Beth Remorenko, VP, Revenue Cycle Operations, PHS

Brian Robertson, CEO, VisiQuate

Chief Digital Strategy Officer Roundtable

With the advent of AI-enabled technologies, this session brings together leading chief digital health officers. The discussion will address tradeoffs in sequencing technology across academic medical centers; what technologies are being prioritized; and consumer expectations.

Moderator: Alistair Erskine, MD, Chief Digital Health Officer, PHS

Michael Anderes, Chief Innovation and Digital Health Officer, Froedtert Health; President, Inception Health

Adam Landman, MD, VP and CIO, BH; Associate Professor of Emergency Medicine, HMS

Aimee Quirk, CEO, innovationOchsner

Richard Zane, MD, Chief Innovation Officer, UCHealth; Professor and Chair,Department of Emergency Medicine, University of Colorado School of Medicine

Innovation Fellows: A New Model of Collaboration

The Innovation Fellows Program provides experiential career development opportunities for future leaders in health care. It facilitates personnel exchanges between Harvard Medical School staff from Partners’ hospitals and participating biopharmaceutical, device, venture capital, digital health, payor and consulting firms. Fellows and Hosts learn from each other as they collaborate on projects ranging from clinical development to digital health and artificial intelligence. Learn how this new model of collaboration can deliver value and lead to broader relationships between industry and academia.

Moderator: Seema Basu, PhD, Market Sector Leader, Innovation, PHS

Nathalie Agar, PhD, Research Scientist, Neurosurgery, BH; Associate Professor, Neurosurgery, Radiology, HMS

Paul Anderson, MD, PhD, Chief Academic Officer, BH; SVP, Research, BH; K. Frank Austen Professor of Medicine, HMS

Laurie Braun, MD, Partners Innovation Fellow, MGH and Boston Pharmaceuticals; Instructor in Pediatrics, HMS

David Chiang, MD, PhD, Research Fellow, BH; Innovation Fellow, Boston Scientific

David Feygin, PhD, Chief Digital Health Officer, Boston Scientific

Peter Ho, MD, PhD, CMO, Boston Pharmaceuticals

Harry Orf, PhD, SVP, Research, MGH; Principal Associate, HMS

Last Mile: Fully Implementing AI in Healthcare

This session will focus on how radiology and pathology specialties are currently applying AI in the clinic. Where will it be built out first? What are the barriers and how will these challenges be overcome?

Moderator: Keith Dreyer, DO, PhD, Chief Data Science Officer, PHS; Vice Chairman, Radiology, MGH; Associate Professor, Radiology, HMS

Katherine Andriole, PhD, Director of Research Strategy and Operations, MGH & BWH CCDS; Associate Professor, Radiology, HMS

Samuel Aronson, Executive Director, IT, Personalized Medicine, PHS

Peter Durlach, SVP, Healthcare Strategy & New Business Development, Nuance

Seth Hain, VP of R&D, Epic

Jonathan Teich, MD, PhD, Chief Medical Information Officer, InterSystems; Emergency Medicine, BH

Reimagining Disease Management

The management of disease has become vastly more challenging, both for patients and providers. AI-based technologies promise to improve and streamline patient care through a variety of approaches. This session will feature a discussion of these new tools and how they can enhance patient engagement and optimize care management.

Moderator: Sree Chaguturu, MD, Chief Population Health Officer, PHS; Assistant Professor, Medicine, HMS

Murray Brozinsky, Chief Strategy Officer, Conversa

Jean Drouin, MD, CEO, Clarify Health Solutions

Julian Harris, MD, President, CareAllies

Erika Pabo, MD, Chief Health Officer, Humana Edge; Associate Faculty, Ariadne Labs; Associate Physician, BH; Instructor, HMS

Standards and Regulation: The Emerging AI Framework

As the health care industry faces an explosion of AI-based tools, the FDA’s approach to these technologies is evolving. This session will focus on the agency’s approach to AI-based products, how to calculate the risk profile of these new technologies, and the challenges of securing adequate data rights.

Moderator: Brent Henry, Member, Mintz Levin

Bethany Hills, Member/ Chair, FDA Practice, Mintz Levin

Michelle McMurry-Heath, MD, PhD, VP, Global Regulatory Affairs and International Clinical Evidence, Johnson & Johnson Medical Devices

Bakul Patel, Associate Director, Digital Health, FDA

Michael Spadafore, Managing Director, Sandbox Industries

From Startup to Impact (Provider Solutions)

This session will introduce you to five leading startup companies who will each share their respective impact in delivery provider solutions in ten-minute pitches.

Moderator: Meredith Fisher, PhD, Partner, Partners Innovation Fund, PHS

Moderator: James Stanford, Managing Director, Fitzroy Health

William Grambley, COO, AllazoHealth

Gal Salomon, CEO, CLEW

Siddarth Satish, CEO, Gauss Surgical

Pelu Tran, CEO, Ferrum Health

Ed Zecchini, CIO, Remedy Partners

1:00 pm – 1:10 pm
1:10 pm – 2:00 pm
Bayer Ballroom

China: AI Enabled Healthcare Leadership

China’s health care system faces major challenges — and its population is aging more rapidly than nearly every other country. To help address these problems, the Chinese health technology sector is strongly embracing AI. What are the most exciting applications? What lessons does China’s early forays into AI-enabled patient care hold for other health care systems?

Moderator: James Bradner, MD
  • President, Novartis Institutes for BioMedical Research
  • Chief Innovation Officer, GE Healthcare
  • Analytics allowing higher throughput in China in Rural areas
  • Sepsis – detection is too late
  • data exhaust for facial recognition – anticipatory diagnosis
  • oncology tumor algorithm
  • CEO, Infervision
  • Medical imaging – four years to mature nodule detection
  • AI – no resale of data
  • Chairman and Co-Founder, Yidu Cloud
  • Medical records
  • Data privacy is personal consent if identification Passport level:
  • Doctor looking on Medical record need consent
  • Administration – clearance for access
  • Managing Partner, Qiming Venture Partners
  • AI HC companies execution to build companies
  • Valuation of all AI not only HC, dropped 30%
  • Real Doctor – 14 licensing for Internet medicine 90,000 patients a day are seen
  • Consumer EMR – Alibaba invested in
  • Investment in CRISPR
  • Invest in drug discovery in China
  • In China 150 programs of drug development of PD-1
  • Government  – 90% of patients go to Public Hospital which guard the data
  • Challenges AI in China — US – China Trade issue
  • CEO, Real Doctor Corporation Limited
  • Medical imaging 12 disease found from pictures build models to other 100 hospitals
  • small nodules detection
  • China-FDA no regulation established yet Learn from US FDA
2:00 pm – 2:30 pm
Bayer Ballroom

1:1 Fireside Chat: Mark Benjamin, CEO, Nuance

Moderator: Peter Slavin, MD
  • President, MGH; Professor, Health Care Policy, HMS
  • CEO, Nuance Communications
  • System produce NOTES from conversation, clinical language, notes read interactively by looking at other chart – LIVE EXAM more that an invoicing tool
  • patient case management made efficient
  • Documentation and Clinical notes embedded into the EHR enhance intelligence at Point-of-Care
2:30 pm – 3:00 pm
3:00 pm – 3:50 pm
Bayer Ballroom

Getting to the AI Investment Decision

The billions invested worldwide in AI-based health care technologies underscore the enthusiasm of global investors. But where are the greatest opportunities and what is the timeline to meaningful impact? In this panel, venture, private equity investors, and buy side analysts will discuss investment priorities, timelines, and key areas of interest

  • Partner, Partners Innovation Fund, PHS
  • When is the time right and when there is only a promise
  • VP, Venture and Managing Partner, Partners Innovation Fund, PHS
  • Looks like therapeutics but it is AI
  • Managing Director, Bain Capital Life Sciences
  • companies leveraging competencies
  •  Capital put to work what is it coming to do – specific value creation
  • Is the problem HC or an Academic Medical Center, i.e., MGH problem to solve
  • If no one at PHS willing to pay — let’s think again
  • Managing Partner, Polaris Partners
  • Data in Pharma companies are ready for AI application
  • algorithms and analytics
  • Value proposition
  • Language processing & ML – recognize patterns in consistant datasets – improve decision made in patient care
  • SVP, Strategy, Commercialization and Innovation, Amgen
  • Real data using AI for speeding drug discovery commercial application
  • predictive models for second MI with partner
  • Pilot study vs scaling up
  • Managing Director, Healthcare Group, Goldman Sachs
  • As AI algorithm mature, labor intensity curbed by AI
  • IPO
  • consolidation of big pharma
  • Partner, Google Ventures – started in 2008/9; Instructor in Medicine, BH
  • data quality needed for AI to avoid bias
  • Pharma is interested in Drugs not in Targets
  • Translator between technology and healthcare
  • Teach computer the rules to go then beating its creator unanticipated modes
  • IT is different in various industries more than West Coast vs East Coast
3:50 pm – 4:20 pm
Bayer Ballroom

1:1 Fireside Chat: Robert Bradway, CEO, Amgen

  • Partner, Atlas Venture
  • CEO, Amgen
  • DeCode Genetics acquired by Amgen
  • AI is in the beginning Rapata and Evenity (romosozumab) risk of fractures – review large images archives
  • Migraine only digital health  – this is not a big area for Amgen
  • Transparency
  • Encouraged to role back the Rebate Program the sickest pay to high – policy changes
  • Part 4
  • Rapata – lower LDL reduce risk for stroke MI 600Billion fighting Heart disease – price lowered 60% patients are directed to the more expensive product
  • Investment in Biosimilars and biologics made available free resources
  • risk is Washington, generics may become the rule for biologics
  • no favor innovating products vs Biosimilars
  • ObamaCare create 12 years of data exclusivity for biologics
  • 90% of prescription is generic products
  • cost of CVD in 2019 is a fraction of the cost 15 years ago
  • CURE – is used for Cancer at what price HEP C – is a cure very expansive
  • Meaning of innovations create frameworks for saving live
4:20 pm – 5:10 pm
Bayer Ballroom

Consumer Healthcare and New Models of Care Delivery

Al is powering a revolution in consumer health care, giving patients a deeper role in monitoring their own health and spawning new models of care delivery. Many health care organizations are increasingly focused on creating a digital “front door” for patients – a single gateway to mobile apps and other online services. Panelists will also discuss the role of remote monitoring and virtual care programs as well as the role of Al in care redesign and workflow.

Moderator: Diana Nole
  • CEO, Wolters Kluwer Health
  • President, Global Strategy Group, Samsung; Founder, CareVisor
  • Real time sensing to deliver realtime care plan: Human Avatar
  • AI is hidden
  • communication varies by generations phone vs SMS
  • VP and Global CTO, Sales, Dell EMC
  • IOT – scale
  • social media – peer pressure
  • President, Health Platforms, Verily Life Sciences
  • AI applied in diet management with images of snacks
  • Co-production of Health 50s-60s concept Co-Production health by patients give patients information and they will co-produce their healthier life style
  • VP and Chief Health Officer, IBM Corporation
  • AI continues to improve – actionable insights
  • AI augmented humanity
  • In China a Team of oncologist meet with entire families to discuss plan of care Cancer patients for GrandMa,
  • SVP, Head of Innovation and Health Equity, Microsoft Healthcare
  • AI – sequence T cells
5:15 pm – 5:25 pm
Bayer Ballroom

BioBank Award Announcement

  • Third place MGH – Computational Pathology
  • First Prize – $12,000 UPittsburg – Dept Biomedical Informatics – principal components
  • First Prize – IBM Center for Computational Health – supervised algorithm
5:30 pm – 6:30 pm

Read Full Post »

LIVE Day One – World Medical Innovation Forum ARTIFICIAL INTELLIGENCE, Boston, MA USA, Monday, April 8, 2019

Reporter: Aviva Lev-Ari, PhD, RN

www.worldmedicalinnovation.org

The Forum will focus on patient interactions across care settings, and the role technology and data can play in advancing knowledge discovery and care delivery. The agenda can be found here.

https://worldmedicalinnovation.org/agenda/

Leaders in Pharmaceutical Business Intelligence (LPBI) Group

represented by Founder & Director, Aviva Lev-Ari, PhD, RN will cover this event in REAL TIME using Social Media

@pharma_BI

@AVIVA1950

@PHSInnovation

#WMIF19 

@evanKristel 

3.1.4

3.1.4   LIVE Day One – World Medical Innovation Forum ARTIFICIAL INTELLIGENCE, Boston, MA USA, Monday, April 8, 2019, 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

Monday, April 8, 2019

7:00 am – 8:00 am
7:00 am – 5:00 pm
8:00 am – 9:40 am
Bayer Ballroom

First Look: Round 1

Nine rapid fire presentations on the applications of AI in Clinical Care

To view speakers and topics, click here.

Henry Chueh, MD

Director, MGH Lab of Computer Science, MGH; Assistant Professor, Medicine, HMS

Dxplain: Expanding diagnostic horizons

Synho Do, MD

Director, Laboratory of Medical Imaging and Computation (LMIC), MGH; Assistant Professor, HMS

Leveraging a Deep-Learning Algorithm for the Detection of Acute Intracranial Hemorrhage

Laura Germine, PhD

Director, Laboratory for Brain and Cognitive Health Technology, McLean; Assistant Professor, Psychiatry, HMS

The Next Generation of Cognitive and Behavioral Assessment

Satrajit Ghosh, PhD

Research Associate, MEE; Principal Research Scientist, MIT; Assistant Professor, Otolaryngology, HMS

Assistive Intelligent Technologies for Brain Health

Chris Sidey-Gibbons, PhD

Co-Director, PROVE Center, BH; Member of Faculty, HMS

Three Computational Techniques and One Tool to Bring the Patient Voice into Care

Xudong Huang, PhD

Co-Director, Neurochemistry Laboratory; MGH; Associate Professor, Psychiatry, HMS

Leveraging Artificial Intelligence for Brain Drug Discovery

Tina Kapur, PhD

Executive Director, Image-Guided Therapy, BH; Assistant Professor, Radiology, HMS

Using AI to Better Visualize Needles in Ultrasound-Guided Liver Biopsies

Bharti Khurana, MD

Director, Emergency Musculoskeletal Radiology, BH; Assistant Professor, HMS

Vesela Kovacheva, MD, PhD

Attending Anesthesiologist, BH; Instructor, Anesthesiology, HMS

Harnessing the Power of Machine Learning to Automate Drug Infusions in the OR and ICU

Constance Lehman, MD, PhD

Chief, Breast Imaging Division, MGH; Professor of Radiology, HMS

AI-Based Care Delivery: A New Paradigm for Curing Cancer

Lisa Nickerson, PhD

Director, Applied Neuroimaging Statistics Lab, McLean; Assistant Professor, HMS

Using Digital Phenotyping and Machine Learning to Forecast, Detect, and Prevent Drug Overdose Deaths

Federico Parisi, PhD

Research Fellow, Wyss Institute for Biologically Inspired Engineering, SRN

Mobile Health Technologies for Monitoring Motor Fluctuations in Patients with Parkinson’s Disease

Stuart Pomerantz, MD

Director, Neuro-CT, Neuroradiology, MGH; Instructor, HMS

AI-Powered Diagnostic Reporting for Spinal MRI of Degenerative Disease

Sandro Santagata, MD, PhD

Assistant Professor, Pathology, BH, HMS

Joseph Schwab, MD

Chief, Orthopaedic Spine Surgery, MGH; Associate Professor, HMS

Artificial Intelligence for Diagnosis and Management in Spine Surgery

Hiroyuki Yoshida, PhD

Director, 3D Imaging Research, MGH; Associate Professor, Radiology, HMS

Nazlee Zebardast, MD

Instructor, Ophthalmology, MEE, HMS

Li Zhou, MD, PhD

Associate Professor/Lead Investigator, BH; Associate Professor, HMS

Machine Learning and NLP to Track Disease Progression and Predict Health Outcomes

Moderator: Giles Boland, MD
  • Chair, Department of Radiology, BH; Philip H. Cook Professor of Radiology, HMS
Moderator: Trung Do
  • VP, Business Development, Innovation, PHS

Henry Chueh, MD

  • wrong diagnosis, leading malpractice claims
  • 1 out of 6 new diagnosis are wrong
  • help clinicians to make 1st diagnosis and every time correct — what need be considered
  • fever, rash, arthrisis (painful swallen joint) – no correct diagnosis
  • Adult Still disease – symptoms trigger condition –
  • DXplain Knowledge base + algorithms curated over 25 yr
  • >1 Million relationships
  • probabilistic inference algorithms
  • Amazon Web Services – micro services on Amazon Web
  • UI widgets for Web apps – mobile prototype
  • 20million hits per month
  • DXplain consumer, clinician, hospitals, payer, malpractice insurer

Synho Do, PhD

  • AI and DL for Stroke Patient management detection of acute intracranial haemorrhage from small dat sets
  • 1 of every 10 death is a Stroke caused, 5.8 million people die of Stroke Stroke is a medical emergency, CT Scan
  • Spotting brain bleeding after
  • Deep Learning algorithms – explainable AI  – human mimiking algorithm developed @MGH
  • Explainable AI – Multi-window mixing & multi-slice mixing is in PACS @MGH
  • commercial opportunity: Near stroke detection
  • @MGH Stroke with AI algorithms Patent IP @PartnerInnovation seeking funding for Stroke management

Laura Germine, PhD

  • Next generation of behavior assessment
  • in Psychiatry – neuropsychiatry
  • Problem of measurement of innovation with validity needed – Tools to measure and have outcomes
  • Unreasonable effectiveness of Good Data : Math achievement – visual-spatial attention
  • Looking for partners

Satrajit Ghosh, PhD

  • Mental health 1 in 4 adults 18% of adolescence 13% of children
  • first treatment effective only in 25% of cases
  • Brain structure and Function – using MR – observed behaviors – using Voice, speaking is a very complex activity
  • Talk intent emotions – window into the mind
  • Speech

Xudong Huang, PhD

  • Brain Drug Discovery – leveraging AI
  • Major depressive DIsorder ( MDD) – 16 million in US 210 Billion a year treatment burden
  • Alzheimer’s DIsease  – 5.8 million AS in US – $290 in 2019 a year treatment burden
  • Potential druggable for MDD and AD
  • Tryptophan-Kynurenina pathway
  • Secreted Protein Acidic and Cysteine rich
  • AI-Powered Drug Discovery Platform – AtomNet
  • Preclinical drug discovery and development
  • Screened 10MIllion compounds – 48 inhibitors for tryptophan-catabolizing enzymes in
  • Tryptophan-Kynurenina pathway

Tina Kapur, PhD

  • AI to visualize needles in UltraSound-guided (US) liver biopsy – safer to patient and easier for the physicina
  • mass in liver suspected to be from a metastasis in the pancreas
  • AI to enable the MD to see the needle completely independent of the US technician
  • Benefits if available to all performers of liver biopsy
  • Patients: Benefit from location of tissue biopsy sampling
  • prostate needle in MRI
  • Button labelled Needle, MD turn on/of button
  • navigation systems not in use
  • 95% proceedures done free hand
  • 1 Million US guided liver biopsy/yr, growing @4%
  • manufacturing of US equipment to be interested to embed

Bharti Khurana, MD

  • Home is the most dangerous place for women killing of women hit by husband. ages 25 to 38 – fracture of bone IPV – Intimate Partner Violence – 1 in 4 women and 1 in 9 men IPV is preventable under reporting
  • Tybanny of the Urgent
  • clinical decision support to predict risk probability automate alerts 95% 50% 15% – Probability of IPV – insivible to visible
  • empower healthcare providers
  • reduce ER volume will reduce cost

Vesela Kovacheva, MD, PhD

  • Titrating drug infusions – Personalized for patient safety reduce med error
  • Titrating drug infusions – automation system from anestesia – function automonically
  • local anestatic for Cesearian section – BP drog when spinal administration of anestatic agent
  • calculate every minure – 20 minutes are critical from drug infusion
  • decision to administer vasopressors is taken evey minute on the bP
  • Rural areas one anestosiolog suverviser three OR at the same time
  • 1.25 million C-section
  • 75% develop low BP
  • complications in babies decreased BP – tachepnis in neonatal – NICU 100Million $ per year.
  • develop same algorithms for propofol in sedetion and insulin in ICU
  • other surgeries – knee, hip, spinal

Constance Lehman, Md, PhD

  • Breast Cancer Out of 2 Billion women 2million will be diagnosed with breast cancer
  • screening will prevent development
  • current tools of mamography – no single interpretation and shortage
  • memograph vs Future risk of BC development
  • Deep Learning model; Training model consequitive memograms Risk model developed – AI technology on memograpm 0.71 when other factors added
  • DIverse races – RAce blind AI model
  • AI model of diagnosis in one year after the memogram taken
  • breast density – imager certified, 6% are dense, 85% and every number in between
  • Expertise: MGH, MIT, Prior failure of CAD
  • Patents for commercialization beyond MGH

Lisa Nickerson, PhD

  • 70,000 drug overdose, 50,000 opioids related
  • Death from prescription opioids is on the increase after 2013 – fentanyl – causing overdose
  • prescription opioids overdose Prevention strategies:
  • Targeted Naloxone distribution
  • Medication assisted treatment
  • Fentanyl screening in Tox tests
  • 911 good Samaritan laws
  • Syringe services programs

Federico Parisi, PhD

  • Mobile Health Applications – Monitoring motor fluctuation in Parkinson’s Disease (PD)
  • 7 – 10Million WOrldwide, 1 Million in the US,
  • dopamine-producing neuron
  • main medication in early stage – Levodopa
  • Need an objective and continuous monitoring toool for tacking the symptoms’ dynamics
  • mHealth for monitoring PD – mimiking clinical evaluations mail limitations: Deendency on standardized motor tasks in sufficient time resolution in symptoms severity during ADLs

Stuart Pomerantz, MD

  • DeepSPINE – Challenges of Lumbar Spine Imaging: Lumbar stenosis MR interpretation Suboptimal radiology
  • DeepSPINE – end-to-end processing pipeline for clinical deployment
  • AI-Powered Diagnosis & Reporting Solutions
  • DeepSPINE: Slice Angle Optimization
  • Predict disease severity/interpretation time
  • Route of optimal staffing
  • DeepSpine Data Layer Multi-Format Reporting: Traditional Text vs Tabular Image-Enhanced
  • Portfolio of applicationsWho benefits from MRI
  • Avoid unneccesary imaging – Clinical Decision-aking
  • Better predict who needs surgery

Sandro Santagata, MD, PhD

  • Tissue imaging quant pathology
  • DL for Mass spectrometry – full spectral resolution
  • interoperative paradigm – patient, biopsy, frozen tissue Tissue cyclic immunoflorescence hi Dimensional pathology
  • Human Tumor Atlas Network (HTAN) – phenotype cancers

Joseph Schwab, MD

  • Orthopedic Spin surgery – 1/2 million lumber fusion surgery, 5% complications $1.8 Billion
  • Data science in Spine today – algorithms based on 35,000 patients cases annotated
  • ML algorithm which Pations will need opioids after fusion
  • Predicted Probability – cost-benefit ration – Benefit to patient
  • Cervical stenosis C5-C6 – patient list of current medication – Prediction of a patient probability to need opioids after spinal surgery
  • Spinal metastasis – Survival prediction – is surgery needed if survival is few months?
  • Complications of hip replacement Perspective: Provider or Insurer
  • SORG-AI.com

Chris Sidey-Gibbons, PhD

  • Patient-reported data
  • identification of treatment satisfaction with care, quality of life, mental health,
  • ONE Questionnaire – filled by Patient – used by psychiatry since 1950
  • Clinical meaning, ML, Computer Adaptive Diagnosis (CAT algorithm) , NLP, response burden
  • ML – improve clinical meaning of Patient reported data, train algorithm – likely outcomes
  • Reconstructive surgery following mastectomy – survey of women
  • Plastic surgery Report – to improve CAT algorithm
  • imPROVE
  • InSpire

Hiroyuki Yoshida, PhD

  • Colon screening 150,000 new cases in the US, 55,000 death, 14B spent in the US
  • CT colonography (CTC)  & Colonoscopy
  • @MGH Laxative-free CT colonography: Oral oral contrast  followed by GI CT Scanning
  • GAN – generative adversarial networks: AI virtual bowel cleansing + AI small polyp detection
  • algorithms remove fecal material
  • Sensitivity: AI-latex-free – 96% sensitivity vs. CTC 46% and Laxative 67%

Nazlee Zebardast, MD

  • Deep learning for glaucoma detection – prevent
  • optic nerve disease, irriversible blindness
  • 76 Million 11 Million bilateral blind
  • +50% glacauma not diagnosed in the US – delay progression by screening
  • No reliable out reach programs – USPSTF recommended against screening
  • Deep learning used for Glaucoma detection _ Larger inter-reader interpretation variation
  • Improve reference standard
  • genetic risk of glaucoma
  • intaocular pressure – modifiable factor
  • Diabetic or non diabetic retinopathy
  • Age, gender, smokin SBP, refractive error
  • What the machine pays attention
  • high IOP and high genetic risk
  • commercialize DL based screening tool for glaucoma – 140 Million in the US
  • The market: 120 million age 30 to 40
  • Cost saving S5.8 Billion

Li, Zhou, MD, PhD

  • Palliative care ML and improve value of care
  • end of life care for Dementias: Latent topic modeling and trend analysis using clinical notes
  • reduce anxiety and depression patient more likely to have wishes known
  • Who are the patients that will benefit the most from palliative care
  • determine the right time for this intervention
  • free-text EHR data
  • Physical function status: Nutrition, feeding, swallowing
  • Commercialization – MTERMS Lab – pharmacovigilance, speech recognition, information extraction and decoding data mining
9:40 am – 9:55 am
9:55 am – 11:35 am
Bayer Ballroom

First Look: Round 2

Nine rapid fire presentations on the applications of AI in Clinical Care

To view speakers and topics, click here.

11:30 am – 11:45 am
11:45 am – 1:00 pm

Discovery Café Sessions

Lunch with Experts: Intensive sessions addressing cutting-edge artificial intelligence topics.

Applying AI to Save Lives During the Opioid Crisis

The U.S. is in the throes of a devastating epidemic of opioid addiction and overdose — some 130 people die nationally every day from opioids, says the National Institute on Drug Abuse. With a total economic cost of more than $78 billion a year, AI is being harnessed to develop new tools that can help alleviate this national crisis. This session will discuss AI-based strategies that academic and industry teams are leveraging to help clinical and public health officials better predict, identify, and treat opioid addiction, and also data privacy concerns.

Moderator: Thomas Sequist, MD, Chief Quality & Safety Officer, PHS

Bob Burgin, CEO, Amplifire Healthcare Alliance

Carm Huntress, CEO, RxRevu Inc

Sarah Wakeman, MD, Medical Director, Substance Use Disorder Initiative, MGH; Assistant Professor, Medicine, HMS

Scott Weiner, MD, Director, Brigham Comprehensive Opioid Response and Education (B-CORE) Program, BH; Assistant Professor, HMS

Community Hospitals: Key Component in Healthcare Transformation

Community hospitals are the largest sources of patient care in the U.S. As such, they represent a frontier in the transformation of health care. How are these organizations using AI and digital technologies to drive transformation? What are the distinctions from academic medical centers? This session will address these and other topics that impact community hospitals.

Moderator: Michael Jaff, DO, President, NWH, PHS, Professor of Medicine, HMS

Fabien Beckers, PhD, CEO, Arterys

Joanna Geisinger, CEO, TORq Interface

John Miller, MD, Director, Retinal Imaging, MEE; Assistant Professor, Ophthalmology, HMS

Lee Schwamm, MD, Director, Center for TeleHealth and Exec Vice Chair, Neurology, MGH; Professor, Neurology, HMS

Tal Wenderow, CEO, Beyond Verbal

Digital Management of Diabetes

Across the spectrum of patient care, the management of diabetes has been flooded with new technology and treatment options for both type 1 and type 2 diabetes – there is a range of new devices and software, including automatic insulin infusion systems, glucose sensors, AI-based algorithms and decision support tools, with an artificial pancreas on the horizon. This session will focus on these areas and clinical use cases that highlight the value of AI.

Moderator: Deborah Wexler, MD, Clinical Director, Diabetes Center, MGH; Associate Professor, HMS

Marie McDonnell, MD, Section Chief and Director, Diabetes Program, BH; Lecturer, HMS

Michael Meissner, PhD, CTO and VP, MED, Sanofi

Joshua Riff, MD, CEO, Onduo

Marie Schiller, VP, Connected Care and Insulins Product Development and Site Head, Cambridge Innovation Center, Eli Lilly

AI and Its Impact on the Future of Emergency Care

There are over 136 million Emergency Department visits annually in the U.S. providing 24/7 unscheduled treatment for problems from minor illness to life threatening traumatic injuries.  Emergency department care teams provide high quality, safe care in an efficient fashion.  In this session, we consider the future of AI in emergency care from the initial decision to seek emergency care, to diagnostic processes within the ED and final disposition decision..  From chat bots for patient triage, telehealth for patient visits to machine learning outcome prediction, we will consider how these novel technologies will impact emergency care delivery.

Moderator: Adam Landman, MD, VP and CIO, BH; Associate Professor of Emergency Medicine, HMS

Peter Chai, MD, Assistant Professor, Emergency Medicine, BH, HMS

Emily Hayden, MD, Attending Physician, Emergency Medicine, MGH; Instructor, Surgery, HMS

Kohei Hasegawa, MD, Attending Physician, Emergency Medicine, MGH; Associate Professor, Emergency Medicine, HMS

Sean Kelly, MD, CMO, Imprivata; Assistant Professor, Emergency Medicine, HMS

Bijoy Sagar, VP, Chief Digital Technology Officer, Stryker

Mental Health, Smartphone Apps and the Promise of AI

Patients can face significant barriers when it comes to accessing high-quality, evidence-based treatment for mental illness. AI-enabled technologies, including smartphone-based tools, that may help close this treatment gap for patients worldwide. This session will focus on efforts to develop smartphone apps and other tools, including those designed to help predict patients’ moods and provide cognitive behavioral therapy.

Moderator: Sabine Wilhelm, PhD, Chief of Psychology; Director, OCD and Related Disorders Program, MGH; Professor, Psychology, HMS

Jennifer Gentile, PsyD, SVP, US Clinical Operations, Ieso Digital Health

Thomas McCoy, MD, Director of Research, Center for Quantitative Health, MGH; Assistant Professor, Psychiatry and Medicine, HMS

Christopher Molaro, CEO, Neuroflow

David Silbersweig, MD, Chairman, Department of Psychiatry, BH; Stanley Cobb Professor of Psychiatry, HMS

Jeremy Sohn, VP, Global Head of Digital Business Development and Licensing , Novartis

From Startup to Impact (Pharma and Diagnostics)

This session will introduce you to five leading start-up companies who will each share their respective impact in the pharmaceutical and diagnostic realms in 10-minute pitches.

Moderator: James Brink, MD, Radiologist-in-Chief, MGH; Juan M. Taveras Professor of Radiology, HMS

Moderator: James Nicholls, Managing Director, Fitzroy Health

Sarah Beeby, EVP, GM Lifesciences, Clinithink

Charles Cadieu, PhD, CEO, Bay Labs

JB Michel, PhD, SVP Data Science & GM USA, BenevolentAI

Art Papier, MD, CEO, VisualDx

Alex Zhavoronkov, PhD, CEO, Insilico Medicine, Inc

1:00 pm – 1:15 pm
1:15 pm – 1:30 pm
Bayer Ballroom

Opening Remarks

  • Interim President and CEO, Chief Academic Officer, PHS; Laurie Carrol Guthart Professor of Medicine, HMS; 2019 Forum Co-Chair
1:30 pm – 2:00 pm
Bayer Ballroom

AI Strategy: AI from the Top

As the potential of AI comes into clearer view, many academic medical centers are taking notice and crafting institutional strategies for incorporating AI into clinical practice. But where are the most meaningful opportunities? What are the biggest challenges? And, importantly, will patient care be noticeably different — better, more available, and/or less costly?

  • Board Member, PHS; President Emerita and Professor of Neuroscience, MIT
  • Cross institutional cooperation is advocated
  • AI – what it will deliver in 2 years
  • what is the role of the Top management
  • how we mwasure how we do
  • Ethics and bias  in AI vs non-AI World
  • Chief Data Science Officer, PHS; Vice Chairman, Radiology, MGH; Associate Professor, Radiology, HMS
  • scaling Machine learning focused areas high accuracy, training ground truth, today the humans establish it in the future with AI ground truth will be created by AI
  • how to handle and move the intelligence and discoveries across units
  • Chief Digital Health Officer, PHS
  • Digitization of documentation – recording the session, Nauance – AI does the borden of communication translation
  • Easy button comparison of f patients wwith same ocndition what was the treatment
  • Chief Clinical Officer, PHS; Professor of Medicine, HMS; 2019 Forum Co-Chair
  • Future 5-10 years EHR is dehumanizing at present but with AI EHR will humanize again the relations of Physician and Patients
2:00 pm – 2:30 pm
Bayer Ballroom

1:1 Fireside Chat: Jensen Huang, CEO, NVIDIA

Introduction by: Cathy Minehan
  • Managing Director, Arlington Advisory Partners; Chairman, Board of Trustees, MGH
  • Chief Data Science Officer, PHS; Vice Chairman, Radiology, MGH; Associate Professor, Radiology, HMS
  • CEO, NVIDIA, established in 1993 graphics, Genomics analysis
  • storage data validation and
  • AI is reinventing computer graphics taught a NN to produce animation by virtual reality in robotics
  • in next three year: Crypo-currency was not foreseen
  • Data Science ingesting data , processing doing analytics
  • RAPIDS – open source data centers clouds and the edge working together
  • AI needs to be at the edge computing to be create at the edge not in the Cloud
  • self driving cars computation odne at the edge
  • Redundence and diversity – approach is diverse
  • In Radiology – democratization of AI announced today with NVIDIA & Partners
  • Driver intervene, Radiologist will intervene
  • Concept of “Beta” – Cloud application is in Beta
  • SW: data driven algorithm written by AI and know to learn amazing results
  • Conditions for NVIDIA to succeed: Speed, SW defined, pipeline flow data curated validated
  • expertise in the company
  • In 5 years: breakthrough NLP – summarize what was said
  • Curations done by AI
  • One shot learning – AI contextual aware Knowing who goes where, when and what acronyms are
  • AI: is software – yes SW that writes SW AI is automation of Automation
2:30 pm – 2:45 pm
Bayer Ballroom

Remarks: The Honorable Charlie Baker

Introduction by: Scott Sperling
  • Co-President, Thomas H. Lee Partners; Chairman of the Board of Directors, PHS
  • Governor of the Commonwealth of Massachusetts
  • AI to assist practitioners in their decisions
  • Information explotions to clinician
  • medical infrastructure needs AI
  • Healthcare is held to a higher standard, people believe in Practitioners – Healthcare is held in very high esteem
2:45 pm – 3:35 pm
Bayer Ballroom

Real World Evidence and Trial Optimization in the AI Era

AI is a tool for conducting faster, more efficient clinical trials. Panelists will discuss how AI-enabled methods can further adaptive trial capabilities, trial design and trial management.

Moderator: Thomas Lynch, MD
  • EVP and CSO, R&D, Bristol-Myers Squibb
  • why sharing data is so hard?
  • IBM Watson – PDF can be read by Watson and come out with a Diagnosis
  • Deputy Commissioner, FDA
  • AI assists in recruitment
  • Modernization of clinical trial is acknowledged
  • Data standards for EHR oncology context
  • EVP MA&PV and Bayer CMO, Bayer AG
  • control arms in rare diseases
  • diagnostics in hypertension
  • drug safety – #AI works
  • Chief Architect, Microsoft Healthcare
  • sharing data semantic interoperability is available
  • No clinical data model
  • Which symptoms actual were experienced?
  • Blockchain
  • CEO, My Own Med Inc.
  • Wearable Pharma is adding this dimens
  • Executive Director, Clinical Trials Office, PHS; Associate Professor of Medicine, HMS
  • computation, pattern recognitions to make CT more efficient
  • competitive model among sponsors hinders data sharing
3:35 pm – 4:25 pm
Bayer Ballroom

AI Driven Value-Based Care

As providers embrace value-based approaches, the demands of clinical data collection, assessment, and information-sharing loom large. In this data-driven environment, clinicians must sift through ever-growing pools of information that can exceed the limits of human capability. An assortment of AI-based solutions is now emerging that may offer some relief. Panelists will discuss how these approaches are helping to support better, more personalized care, and the challenges faced by clinicians and managers for effective adoption.

Moderator: Timothy Ferris, MD
  • CEO, MGPO; Professor of Medicine, HMS
  • CEO, American Heart Association
  • guideline on HTN, 1/2 million wake up with HTN a day after guidelines were enacted
  • AI will not be able to replace a clinician encouraging a patient
  • AI to free time of HC professional
  • EVP, President, Network Solutions, Change Healthcare
  • 1 trillion $ is wasted Healthcare is not consumer friendly #AI has opportunities to innovate home-based solutions
  • consumer focus technologies hand held devices
  • Levers
  • CEO, NHS England
  • AI can free time for health professionals
  • diagnostics
  • productivity in Healthcare has impact of the entire econommy US – 3 trillions size of HC sector
  • 2 1/2 million literature new to clinician evry year – AI will assist
  • Clinician explainability is very important
  • AI to benefit Healthcare for all
4:25 pm – 5:15 pm
Bayer Ballroom

Cardiovascular Care: Reinvented Through AI

Cardiovascular diseases remain the leading cause of death worldwide and an expense, making this area ripe for AI-enabled innovations. Teams are pursuing a range of AI-based tools in cardiovascular medicine: including AI-powered drug discovery and diagnostics to automated cardiac image analyses and AI-guided care delivery pathways. Panelists will discuss where AI is having a sizeable impact. The discussion will also include the perspectives of a patient who benefited from AI-enabled cardiovascular care.

  • Vice Chair for Scientific Innovation, Department of Medicine, BH; Associate Professor of Medicine, HMS
  • SVP, Global Head of Digital and Analytics, Sanofi
  • COTY in Copenhagen – AI augment capability of EMTs dispatcher is prompted with questions to decide if this call is Heart arrest caving few minutes for EMT response
  • Patient
  • Independent Recording Engineer Burke Recording
  • President, Bayer Pharma Americas Region, Bayer
  • In-silicon modeling is AI based and shorten cycle of drug discovery
  • Bridge clinical care and with clinical trials
  • Challenge island of dat are disconnected,
  • Chief Cardiovascular Imaging, MGH; Professor, Radiology, HMS
  • To see a neurologist you need to have an MRI done already
  • Chest CT, Abdominal CT Chest X-ray — done
  • CVD CT report five pages long, prognostics — AI will tell MD what medication to suggest
  • clinical care more standardized
  • AI in clinical trial is a big premise
  • No more trials if perpatient the cost id more than $5,000
  • AI is a tool to enable lower cost clinical trials
  • imaging data sharing in what ever form
  • ML and AI at all Radiology conferences
  • QA criteria – what is quality data, to inform care
  • EVP/GM, Healthcare and Life Sciences, Persistent Systems
  • How to use AI clinical work flow goal – to be sw driven AI is a component
  • large systems sw automation data and platform dat acapture is very importnat
5:15 pm – 5:45 pm
Bayer Ballroom

1:1 Fireside Chat: Seema Verma, Administrator, Centers for Medicare & Medicaid Services

Moderator: Sree Chaguturu, MD
  • Chief Population Health Officer, PHS; Assistant Professor, Medicine, HMS
  • Administrator, Centers for Medicare and Medicaid Services
  • 2020 20% of all expenses spent will be on Healthcare in the US
  • Gov’t was a barrier to innovations
  • initiative of cutting regulations
  • innovation – how we pay providers for value produced vs regulation that stay in the way
  • gov’t slow to respond: FDA approval and CMS access to treatment and reimbursement
  • Analysis of drug a patient takes, CMS – quality, medical record given to patient across all providers they use and be able to give to a new provides all historical data
  • Data privacy and security
  • Innovators in Colorado – health care cost need be lowered in a major way
5:45 pm – 6:45 pm

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TWEETS and retweets by @pharma_BI and @AVIVA1950 on Day One and Day Two: 2019 MassBio Annual Meeting, State of Possible Conference, Sonesta Hotel, Cambridge, March 27, 2019

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  1. LIVE Day Two: 2019 MassBio Annual Meeting, State of Possible Conference, Sonesta Hotel, Cambridge, March 28, 2019

  2. AMAZING Conference I covered in Real Time TODAY on Biotech Therapeutics Innovations in Massachusetts…

  3. LIVE Day One: 2019 MassBio Annual Meeting, State of Possible Conference, Sonesta Hotel, Cambridge, March 27, 2019

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    MIT Legend at MassBio’s “State of Possible” reception… Lita Nelsen will receive the Henri A. Termeer Innovation Award at Thursday MassBio conference.

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    Day 2 at ⁦ conference. Next talk – the future of human biology. Among speaker, Juan Enriquez, well known author “the future of life”.

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    Congrats Lita Nelsen!! Our newest recipient of the Henri A. Termeer Innovative Leadership Award!! Thank you for making MA so amazing for innovation and patients!!!!

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  19.   Retweeted

  20. My Hero, our out going President & CEO ⁦⁩ exemplary executive, you are unique and very special to MA and to Biotech in MA

  21. 25 companies lunched every year out of ⁦⁩ ⁦⁩ headed gets Henri Termeer innovations from or Academe to start up stage, history on innovations

  22. Great ideas for the small biotech difficult to invest in unless a is available drug more attractive vs diagnostics, biomarkers are attractive vs tests

  23. Hot Investment are not Hemophilia new ventures said M&A Private was stripped by public markets grow into public market said ⁦ Oncology remains attractive

  24. Coolest mind in the room packed with smart biotech execs and genomic experts, aka ⁦⁩ ⁦ Cambridge, MA parking lots deals are made, Berklee best music cool place to be in

  25. Opposing natural selection is Gene editing, gene repair may lead to life forms due to consequences unknown ⁦

  26. Like no other state in the US – Biotech has infrastructure in MA, amazing squared content & Organization Event Planning Score = 100/100

  27. Women were on all Panels today amazing squared content & Organization Event Planning Score = 100/100

  28. Jeremy Levin’s Speech was my favorite – I never agree 100% with any one — WIth Levin I do

  29. indeed, Jeremy Levin is BOLD, Visionary, An equal opportunity promoter, a Universal Health Care ideologue LIKE ME democratic values UPHOLDER LIKE ME amazing squared content & Organization Event Planning Score = 100/100

  30. amazing squared content & Organization Event Planning Score = 100/100

  31. amazing squared content & Organization Event Planning Score = 100/100

  32.   Retweeted

    We need cross industry partnerships to address our transportation issues.

  33.   Retweeted

    Hosting hot takes in a re and therapies with two genomic all-stars of and formerly of at Conference!

  34. amazing squared content & Organization Event Planning Score = 100/100

  35. amazing squared content & Organization Event Planning Score = 100/100

  36. amazing squared content & Organization Event Planning Score = 100/100

  37. amazing squared content & Organization Event Planning Score = 100/100

  38. amazing squared content & Organization Event Planning Score = 100/100

  39. amazing squared content & Organization Event Planning Score = 100/100

  40. amazing squared content & Organization Event Planning Score = 100/100

  41.   Retweeted

    Packed room here at the Conference! We are delighted to be here for the first ever State of Possible Award. Congrats to commissioner Joe Finn and thank you for all you do to prevent more fire fighter deaths from occupational cancer.

  42. CEO developing blood test for cancer diagnosis ask Neurodegeneration Panel a question asking them to finction as his advisory board for a question on using blood test got CNS disfunction diagnosis? Brilliant bold act was delight

  43. Panel of Geneticists, Neurologists, Psychiatrists TOP talent on CNS regeneration debates genetic mutation lead the pack on neuropathology paradigm shift on which proteins are targeted therapeutics patient selection

  44. panel of experts on Neurodegeneration progranulin , considered for CNS, targeting , ⁦ drug-CSF Distribution dose range

  45. impact of , how to maintain Boston as Biotech HUB? with ⁦⁩ attract great talent ⁦⁦⁩ culture is asset on the balance sheet PARKING

  46. amazing Panel on funding biotech start ups Women CEO in Biotech, is tough. Raising funds requires relations women are great at relations, bias by gender exists

  47. @pharma_BI@AVIVA1950 Patient Advocate, Lauren Bombardier Weeks took stage describing Cystic Fibrosis breakthrough story

  48. ⁦Mike Bonney @KaleidoLifesciences -based constructs of : impact when start a given – research shows that change in x yield favorable outcomes thus, approval coverage by

  49. to Fix Margaux Hall Tamar Thompson Mike Bonney @KaleidoBiosciences want to pay out-of-pocket conflict of interest for

  50. Future: In five years there will be 5 new products based on RNA, pass ceiling of 1st approval same technology for solutions of multiple disease indication

  51. ⁩ former @KatrineBosley need to move faster as they see the for by Dialog with will continue is NOT appropriate

  52. , Chairman & CEO, @OvidTherapeutics, Inc. is flowing in LARGE amounts into 2500 in – product emerging as , pay/not

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LIVE Day Two: 2019 MassBio Annual Meeting, State of Possible Conference, Sonesta Hotel, Cambridge, March 28, 2019

http://files.massbio.org/file/MassBio-State-Of-Possible-Conference-Agenda-Feb-22-2019.pdf

Leaders in Pharmaceutical Business Intelligence (LPBI) Group

represented by Founder & Director, Aviva Lev-Ari, PhD, RN will cover this event in REAL TIME using Social Media

@pharma_BI

@AVIVA1950

#StateofPossible19

 

Day 2 Agenda – March 28, 2019

Possible Talk – The New Role of Police: Creating Non-Arrest Pathways to Treatment and Recovery Conference Wide 3/28/2019 8:45:00 AM 3/28/2019 9:00:00 AM
Future of Human Biology: How we are Already Evolving Ourselves Conference Wide 3/28/2019 9:00:00 AM 3/28/2019 9:45:00 AM
Possible Talk – The Evolution of the Investment Landscape to Support Future Innovations in Biotech Conference Wide 3/28/2019 9:45:00 AM 3/28/2019 10:00:00 AM
CFIUS: Proposed Rules Impacting Global Investments for Biotech Breakout – Business Track 3/28/2019 10:15:00 AM 3/28/2019 11:00:00 AM
Exploring the Possibilities of Microbiome Beyond GI Diseases Breakout – Science Track 3/28/2019 10:15:00 AM 3/28/2019 11:00:00 AM
Advancing from ‘R’ to ‘D’: Various Routes to Building Successful Clinical-stage Companies Breakout – Science Track 3/28/2019 11:30:00 AM 3/28/2019 12:15:00 PM
Financing Outlook for 2019-2020: Will the Bubble Burst? Breakout – Business Track 3/28/2019 11:30:00 AM 3/28/2019 12:15:00 PM
Lunch & Henri Termeer Innovative Leadership Award Conference Wide 3/28/2019 12:15:00 PM 3/28/2019 1:15:00 PM
Enabling Digital Health in the Healthcare Value Chain Conference Wide 3/28/2019 1:15:00 PM 3/28/2019 2:00:00 PM

Day 2 Agenda – March 28, 2019

8:15am – 8:45am: Breakfast

8:45am – 9:00am: Possible Talk

Possible Talk – The New Role of Police: Creating Non-Arrest Pathways to Treatment and Recovery

  • Treatment of excellence in opiods draws patients fro all the MA state to Boston Programs and from Outside of MA
  • 94% walking on the door receive referrals to treatment centers in MA
  • Prediction of the future of persistence of the phonomenon
  • Funding partnerships for reducing time in treatment due to efficacy and patients engagement
  • 500 police personnel are involved in Treatment available on Demand referral
  • Substance abuse programs that work using institutions as problem solvers
  • Urgent and important because people die every day

 

9:00am – 9:45am: Future of Human Biology: How we are Already Evolving Ourselves

Megan Thielking, STAT News

  • Ethics of Human germ line
  • George M. Church PhD, Professor of Genetics, Harvard Medical School
  1. Multiplexing and gene editing for reverse aging
  2. Doing to much by adding new forms somatic therapies feedback loop is long from young adults to aging
  3. Small pox: Gene therapy can becaome non expensive
  • Juan Enriquez, Managing Director, Excel Venture Management, Prof. @Harvard in Genomics and Manage Start up in Genomics
  1. conception – identical twins bred 20 years apart
  2. fetus external to body and male can have children
  • Greg Verdine, President, CEO & CSO, Board Member, LifeMine
  1. Embryos IVF,, fully sequence the embroy and
  2. Democratice technologies at high school age –
  3. Educators will play a role for informed decisions public education
  4. AI harder to democratize
  5. Ethics consideration in patient selection for certification

9:45am – 10:00am: Possible Talk – 

Possible Talk – The Evolution of the Investment Landscape to Support Future Innovations in Biotech

  • communication what Biotech do, how position biotech start up and how raise fund
  • Thematic Investing: ALPHA CURRENTS: AI, Medical Technologies, communication technologies
  • Mother test – Communication of thoughts

 

10:15am – 11:00am: CFIUS: Proposed Rules Impacting Global Investment for Biotech [Business Track]

  • Review committee foreign investment, purchasing entire company –
  • new regulation 8% foreign investment is the largest allowed share as equity position and
  • not to negatively affect cyber security and national security
  • In BioTech (i.e. gene editing technologies developed already overseas and all other ecosystems
  • Green Card Holder investor are not excempt of CFIUS is different that US Citizen Investors which are exempts
  • Vikas Goyal, Principal, S. R. One, GlasxoSK Limited
  • Linda Ji, Partner, McDermott Will & Emory
  1. Disclosure about the investment and investors
  2. neurotech, genetics, genomics
  3. Critical tech in Biotech: Foundational vs
  4. US EXPERT CONTROLLED Technology
  5. License needed for licensing US EXPERT CONTROLLED Technology
  6. CFIUS does not handle licensing
  • Lisa Schaefer, Director of Financial Services and Tax Policy, Biotechnology Innovation Organization (BIO)
  1. Expert controlled technology
  2. AI in Drug discovery -is emerging foundational technology
  • Johhy Hu – VC in Boston – FUND owners are Swiss & Italian citizenship

10:15am – 11:00am: Exploring the Possibilities of Microbiome Beyond GI Diseases [Science Track]

  • David Donabedian, Co-founder, CEO & Director, Axial Biotherapeutics
  • Justin Chakma, Head of BD and Strategy, Vedanta
  • Chris Howerton, Biotechnology Equity Analyst, Jeffries

11:00am – 11:30am: Networking Break 

11:30am – 12:15pm: Advancing from ‘R’ to ‘D’: Various Routes to Building Successful Clinical-stage Companies [Science Track]

  • Laura Indolfi, Founder & CEO, PanTher Therapeutics
  • Sven Karlsson, Co-Founder, CEO,& CBO, Platelet Biogenesis
  • Leslie Williams, Director, Founder, President and CEO, ImmusanT

11:30am – 12:15pm: Financing Outlook for 2019-2020: Will the Bubble Burst? [Business Track]

  • Bruce Booth, Partner, Atlas Ventures
  1. Great time of capital rich, 2018 2Q – largest M&A in Biotech
  2. staggering increase in funding
  3. capital is flowing not from VCs, bur large hedge funds and foreign investment – China related 40% and Abu Dabi invest in Biotech
  4. First IPO in 2012 was Biotech
  5. Investor more selective and descerned : Preclinical Phase 1
  6. 2009-2010 – cool off market
  7. 2019 at constructive market for growing companies

 

  • Kathy Bersteinsson, Morgan Stanley 
  1. $30 Billion in 2018
  2. 8 IPO, back
  3. 2019 will be constructive, capital for biotech ecosysytem 50Billion needed, @25 Billion is secured without convertibles
  4. back log of IPO for 2Q in 2019
  5. investors wish 30% returns – adjust IPO valuation some are 1.5 times and fees on top
  6. Investors willing to participate VC not participate in good markets
  7. Good IPO no VCs
  8. Oncology, Selling genes, CNS
  9. Maturing the crop takes time

 

  • Christine Brennan, Partner, MRL Ventures Fund, Merck US
  1. RNA landscape
  2. oncology

 

  • Barbara Dalton, Pfizer Ventures
  1. Neurosciences, Biogen failure, need for new drugs
  2. Newrodegeneration
  3. Venture group does invest in neuro because Pfizer left Neuro
  4. investment in IMMUNITY
  5. M&A pipeline to move the needle does not happens for small biotech
  6. Pfizer and all BIG Pharma do not but even though Tax Reform favor Big Pharma

 

  • Steve Wilcox, Lawyer – largest Biotech
  1. what is hot and not
  2. Option to Purchase is lousy for sellers you cap the upper bound

 

12:15pm – 1:15pm: Lunch and MassBio Innovation Award Presentation

  • Lita Nelson, fear of genetics lead to development of 1980s legislation ownership and Patent exploitation by institutions, Universities started to collect royalties from Tech Transfer, Gov’t supported 120 Billion in basic research since the 70s.
  • 200 Research Universities and Hospitals Tech Transfer Office research shows:
  • 6300 licenses granted
  • early investment in innovations – in MA, 30 years ago no Pharma in MA today 18 of 20 big Pharma are in Cambridge and other locations in mA
  • People: accelerate biotech faced scarce talent not scarce capital
  • networking – dense clusters in Cambridge
  • Cambridge is the envy of the World in BioTech

 

1:15pm – 2:00pm: Enabling Digital Health in the Healthcare Value Chain

Moderator: Hussain Mooraj, Delloitte

  • Jeff Elton, CEO, Concerto Health AI
  • Cluster of centers of excellence
  • Moderna, VP IT
  1. cross pollination =: CS + Biology form MIT
  2. Top management understand technologies in Biotech
  3. data collection
  4. blueprint to design a digital platform – from the start to do it right vs retrofits at later stage

 

  • Luba Greenwood, Google – Verily – IP was the asset in 2019 it is the DATA  not the IP – use of data to improve drug discovery
  1. Starting up a Biotech company
  2. Advice is available

 

  • ThermoFischer – R&D DIgital Science,
  • Pear Therapeutics, Brooke Paige, VP, Alliance ManagementBrooke Page

2:00pm – 2:30pm: Keynote Address

 

2:30pm – 3:00pm: Closing Networking Dessert Reception

@@@@@

8:15am – 8:45am: Breakfast

8:45am – 9:00am: Possible Talk

9:00am – 9:45am: Future of Human Biology: How we are Already Evolving Ourselves Humans began changing our environment early on through fire, agriculture and early medicines, and later with biopharmaceuticals and even CRISPR babies. Come hear futurists in human biology offer provocative thoughts on how we can wisely and ethically embrace next generation science to change our own DNA. – George M. Church Phd, Professor of Genetics, Harvard Medical School – Juan Enriquez, Managing Director, Excel Venture Management – Greg Verdine, President, CEO & CSO, Board Member, LifeMine

9:45am – 10:00am: Possible Talk

10:15am – 11:00am: CFIUS: Will New Regulatory Threats Reduce Global Investment in Biotech? [Business Track] CFIUS’ newly expanded scope and authority have the potential to severely disrupt investment in the U.S. biotech sector. A new federal law now includes biotechnology on a list of 27 “critical” industries where all foreign investment must be reviewed by the CFIUS office. With this new rule in place, questions abound about its impact on the biotech industry. Will raising money take longer? Will it deter foreign investors? Will it limit companies’ leverage during investment negotiations? Come hear legal, investor, and company experts discuss what companies and investors need to know about CFIUS’ impact on future investments in biotech companies. – Vikas Goyal, Principal, S. R. One, Limited – Linda Ji, Partner, McDermott Will & Emory – Lisa Schaefer, Director of Financial Services and Tax Policy, Biotechnology Innovation Organization (BIO)

10:15am – 11:00am: Exploring the Possibilities of Microbiome Beyond GI Diseases [Science Track] The specific balance of bacteria in your gut affects your digestive system, but new research also shows these bacteria affect your behavior, energy, heart, brain and other unexpected organ systems. Pioneers in microbiome expound on the possibilities. – David Donabedian, Co-founder, CEO & Director, Axial Biotherapeutics – Justin Chakma, Head of BD and Strategy, Vedanta – Chris Howerton, Biotechnology Equity Analyst, Jeffries

11:00am – 11:30am: Networking Break

11:30am – 12:15pm: Advancing from ‘R’ to ‘D’: Various Routes to Building Successful Clinical-stage Companies [Science Track] Massachusetts is the epicenter of startup creation for biotech, but it’s not always easy to go from research to commercialization. Come hear founders and industry leaders offer lessons learned on intelligently scaling your company amid rapid growth including when to partner, sell or IPO, or when to build or buy preclinical, manufacturing, and clinical development capabilities. – Laura Indolfi, Founder & CEO, PanTher Therapeutics – Sven Karlsson, Co-Founder, CEO,& CBO, Platelet Biogenesis – Leslie Williams, Director, Founder, President and CEO, ImmusanT

11:30am – 12:15pm: Financing Outlook for 2019-2020: Will the Bubble Burst? [Business Track] 2018 was a record year for biotech IPOs, the XBI hit an all-time high in August, and the FDA approved a record number of novel drugs. What will 2019 bring after late 2018’s many signals of a slowing market? Will M&A pick up? Can new IPOs continue at last year’s pace? How will public markets respond? Investment bankers, private equity, and industry leaders peer into their crystal ball to predict the financial outlook for the next few years. – Bruce Booth, Partner, Atlas Ventures

12:15pm – 1:15pm: Lunch and MassBio Innovation Award Presentation

1:15pm – 2:00pm: Enabling Digital Health in the Healthcare Value Chain At its core, digital technologies are increasingly critical in enabling the growth of biotechnology companies– from the development of better research and development insight engines, to the commercialization of next generation therapies via digital channels. This panel will explore best practices that enable the embedding of digital health technologies in the value chain for both life sciences companies, payers and providers.

2:00pm – 2:30pm: Keynote Address

2:30pm – 3:00pm: Closing Networking Dessert Reception

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LIVE Day One: 2019 MassBio Annual Meeting, State of Possible Conference, Sonesta Hotel, Cambridge, March 27, 2019

http://files.massbio.org/file/MassBio-State-Of-Possible-Conference-Agenda-Feb-22-2019.pdf

Leaders in Pharmaceutical Business Intelligence (LPBI) Group

represented by Founder & Director, Aviva Lev-Ari, PhD, RN will cover this event in REAL TIME using Social Media

@pharma_BI

@AVIVA1950

#StateofPossible19

State of Possible Conference Day 1 Agenda – March 27, 2019

Session Title Session Type Start Time End Time
Breakfast & Registration 3/27/2019 8:15:00 AM 3/27/2019 8:45:00 AM
Breakfast 3/27/2019 8:15:00 AM 3/27/2019 8:45:00 AM
Keynote: State of the State of Possible: Where are we in the history of Biotech and What Lies Ahead? Conference Wide 3/27/2019 9:00:00 AM 3/27/2019 9:30:00 AM
‘Fireside Chat’ on RNAi and CRISPR: What Can the Past Teach Us and What Opportunities Await? Conference Wide 3/27/2019 9:30:00 AM 3/27/2019 10:15:00 AM
Possible Talk – The Possibilities of Gene Editing for Transforming the Practice of Medicine Conference Wide 3/27/2019 10:15:00 AM 3/27/2019 10:30:00 AM
Possible Talk – Leveraging Artificial Intelligence to Revolutionize Drug Discovery Conference Wide 3/27/2019 11:00:00 AM 3/27/2019 11:15:00 AM
Solving the Value Equation to Fix our Broken Healthcare System & Ensure Patient Access Conference Wide 3/27/2019 11:15:00 AM 3/27/2019 12:00:00 PM
Possible Talk: Opening Doors for the Future, a Patient’s Perspective Conference Wide 3/27/2019 12:00:00 PM 3/27/2019 12:15:00 PM
Early Stage Funding in the Era of Venture Creation Breakout – Business Track 3/27/2019 2:00:00 PM 3/27/2019 3:00:00 PM
From Academia to Commercialization: What’s the Threshold of Data Needed to Start a New Company? Breakout – Science Track 3/27/2019 2:00:00 PM 3/27/2019 3:00:00 PM
The Evolving Massachusetts Ecosystem: How Can we Continue to Sustain our Growth? Breakout – Business Track 3/27/2019 3:00:00 PM 3/27/2019 4:00:00 PM
Addressing the challenges of Large Population Diseases. Breakout – Science Track 3/27/2019 3:00:00 PM 3/27/2019 4:00:00 PM
The State of Neurodegenerative Disease: Drug Targets and Alternative, Patient-Centric Clinical Endpo Breakout – Science Track 3/27/2019 4:30:00 PM 3/27/2019 5:30:00 PM
Addressing the Opioid Crisis Breakout – Business Track 3/27/2019 4:30:00 PM 3/27/2019 5:30:00 PM
 

The State of Possible Celebration 3/27/2019 6:00:00 PM 3/27/2019 9:00:00 PM

 

Day 1 Agenda – March 27, 2019

8:45am – 9:00am: Welcome

9:00am – 9:30am: Keynote – State of the State of Possible: Where are we in the History of Biotech and What Lies Ahead?

  • Jeremy Levin, Chairman & CEO, Ovid Therapeutics, Inc.

No way to predict the future: rich and diverse, existential moment

  • impact of life expectancy
  • FDA in 2018 – record of Dr. Gottlieb in approval of new drugs
  • capital is flowing in LARGE amounts into innovations: new medical modalities: Gene therapy, immune oncology, RNA, CAR-T – 2500 clinical trials in immune oncology – product emerging as BIOSIMILARS
  • cell therapy, gene therapy
  • Health Insurers matters, consolidation, CIGNA partners with pharma
  • Insulin is $400 patients that can’t pay — covenant: Health Care must be universal for Economic growth considerations
  • Innovators part of the pie shrinks
  • Drug Pricing shifts the political balance
  • Bipartisan Pressure on the Pharma industry
  • WHAT IS COMING
  1. consolidations
  2. massive innovations
  3. innovations is essential – Financial burden
  4. CNS innovations – Alzermer’s Disease: Epilepsy,
  5. BIOSIMILARS: Crushing wave will create monopolies on OLD molecules PD!
  6. Organizational changes: Patient centricity using AI and precision
  7. Investors in Biotech in 2007 investors did not believe in immuno-oncology
  8. Pricing controversy – access and affordalitiry of cost out of pocket
  9. Bad democracy: if access is not to all
  10. CEO’s compensation need be tied to product innovations not to drug pricing
  11. IP Protection
  12. BIOTECH – matters: Sustainability if patient is the purpose
  13. Democracy is by all and for all

9:30am – 10:15am: ‘Fireside Chat’ on RNAi and CRISPR: What Can the Past Teach Us and What Opportunities Await?

Mike, Nikitas, Moderator

  • John Maraganore, Chief Executive Officer, Alnylam
  1. Tissue to benefit from RNA therapies only the beginning, not yet for cancer
  2. FDA has amazing scientists to continue Dr. Scott Gottlieb’s legacy
  3. Patients at the center and the Team move Science forward

Katrine Bosley, former Chief Executive Officer, Editas MedicineGenetic repair by gene deletions – as advances are achieved knowledge is shared cross projects on multiple indications

    1. regulators need to move faster as they see the innovations for tissue by gene medicine
    2. Dialog with FDA will continue Human germ line is NOT appropriate

10:15am – 10:30am: Possible Talk – Morgan Stanley

Possible Talk – The Possibilities of Gene Editing for Transforming the Practice of Medicine

Base Editing – Repair DNA

Creation of a new base editor – platform creation – platform to enable development – mammal cell lines

  • Cytidine Base Editor: (CxG -> TxA)
  • ApoE4 genetic factor fo rAlzheimer’s DIsease
  • Adenine Base Editor: (AxT ->GxC??)
  • Substrate specificity, delivery, product selectivity
  • @ BEAM Base editing as a Human Therapy 0 genetic disease faulty gene expression
  1. Gene correction,
  2. Gene regulation,
  3. Gene silencing,
  4. Gene reprogramming

Treating genetic disease ONE LETTER AT A TIME

10:30am – 11:00am: Networking Break 

11:00am – 11:15am: Possible Talk

Possible Talk – Leveraging Artificial Intelligence to Revolutionize Drug Discovery

  • Historical evolution of AI started on the 50s
  • Is Pharma ready for AI?
  • Publications on AI in Drug Discovery is th elargest growth in Publishing
  • Pharma Corporations, AI conpanies, Tech corporations
  • Potential contributions of AI to Human Biology

 

11:15am – 12:00pm: Solving the Value Equation to Fix our Broken Healthcare System & Ensure Patient Access

Margaux Hall, Moderator

  • Erin Mistry, Managing Director Pricing and Access, Syneos Health
  • Mike Bonney, Executive Chair, Kaleido Lifesciences
  1. Payers need to change their system for each new product they will reimburse for – IT system change
  2. Value based scheme are challenging due to data collections need by Payer to define contracts for VALUE definition and contract terms
  3. Will the value change on the next year is more enrolled as users?
  4. value-based constructs of therapeutics: population impact when patients start a given therapy – research shows that change in x yield favorable outcomes thus, approval of drug coverage by Payer  – ALWAYS have population effects
  5. Payors can loose cohorts and gain other cohorts by incentives
  6. Healthcare policies must be long term and not by Party election peril ti the Healthcare system
  7. Show progress that business strategy bring scoring on outcomes
  8. Saving life of patients, it is expensive, then it becomes free almost for developing countries, like vaccines and generics
  • Tamar Thompson, Executive Director, State Government Affairs & Federal Payment, Bristol-Myers Squibb
  1. pay less if pay cash without insurance vs pay insurance and pay co-pay — ?? affordability and gaining it fairly

12:00pm – 12:15pm: Possible Talk

Possible Talk: Opening Doors for the Future, a Patient’s Perspective

Make a change in life of Patients every day

12:15pm – 12:45pm: MassBio Presidential Address – Robert K. Coughlin, President and CEO, MassBio

12:45pm – 2:00pm: Lunch

2:00pm – 3:00pm: From Academia to Commercialization: What’s the Threshold of Data Needed to Start a New Company? [Science Track]

  • Irene Abrams, Vice President, Technology Development and New Ventures, Boston Children’s Hospital
  • Irena Ivanovska, Boston Site Head, Celdara Medical
  • Issi Rozen, Chief Business Officer, Broad Institute

2:00pm – 3:00pm: Early Stage Funding in the Era of Venture Creation [Business Track]

  • Todd Zion ex-Smart Cell, CEO
  • Paula Ragan, CEO, X4Pharmaceuticals
  • Rosemary Reilly, Partner, WilmerHale
  • Ramani Varanasi, CEO, X-Biotix

3:00pm – 4:00pm: Addressing the Challenges of Large Population Diseases [Science Track]

  • Calum MacRae, Vice Chair for Scientific Innovation, Brigham and Women’s Hospital, Harvard Medical School

3:00pm – 4:00pm: The Evolving Massachusetts Ecosystem: How Can we Continue to Sustain our Growth? [Business Track]

  • Tanisha Sullivan, Associate General Counsel, Industrial Affairs, Sanofi Genzyme
  • Doug Fambrough
  • Chandra Ramanthan
  • Johannes Fruehauf, Founder & CEO, LabCentral

4:00pm – 4:30pm: Networking Break 

4:30pm – 5:30pm: The State of Neurodegenerative Disease: Drug Targets & Alternative, Patient-Centric Clinical Endpoints [Science Track]

  • Robert Alexander, Vice President and Head, Global Clinical Science Neuroscience, Takeda
  • Joseph J. Higgins, MD FAAN, Vice President, Clinical Development, Huntington’s Disease Program Lead, Uniqure
  • John Torous, Director, Digital Psychiatry Division, Beth Israel Deaconess Medical Center
  • Sally Johnson, Biogen
  • Gilmore O”Neill, Serepta
  • Steve Wood – biomarkers (are LAB specific not regulated by FDA)
  • Ecosystem will continue to make bets, concept of POOLING FUNDING for bedding in paralllel and develop in parallel several therapeutic targets
  • Upside – investment will flow, Novertis and AztraZeneca joined funding on one development
  • Placing bets on Neurological diseases
  • neurogeneration of inherited diseases
  • Earlier intervention is better
  • target identification AUGMENTATION VS REMOVAL not clear what
  • Biogen measuring SNIPS Partnerships Academia and Industry

4:30pm – 5:30pm: Addressing the Opioid Crisis [Business Track]

  • Kerry Wentworth, Chief Regulatory Officer, Flexion Therapeutics

6:00pm – 9:00pm: State of Possible Celebration at the Museum of Science

Join us for drinks, food and networking at the Museum of Science! 

@@@@

8:45am – 9:00am: Welcome

9:00am – 9:30am: Keynote – State of the State of Possible: Where are we in the History of Biotech and What Lies Ahead? – Jeremy Levin, Chairman & CEO, Ovid Therapeutics, Inc.

9:30am – 10:15am: ‘Fireside Chat’ on RNAi and CRISPR: What Can the Past Teach Us and What Opportunities Await? Although researchers have been experimenting with gene therapy since the 1980s, 2018 was a major turning point in making these technologies a reality for patients. Not only was the first therapeutic using RNA interference (RNAi) approved last year, the first human clinical trials started for a CRISPR product. Come hear the two superstars of RNAi and CRISPR compare stories, lessons learned, thoughts on the future of gene editing, and more. – John Maraganore, Chief Executive Officer, Alnylam – Katrine Bosley, former Chief Executive Officer, Editas Medicine

10:15am – 10:30am: Possible Talk – Morgan Stanley

10:30am – 11:00am: Networking Break

11:00am – 11:15am: Possible Talk

11:15am – 12:00pm: Solving the Value Equation to Fix our Broken Healthcare System & Ensure Patient Access FDA approval used to mean access – but that’s no longer the case. More insurers are restricting access to new drugs, all at the expense of patients, using the argument that they do not bring enough value to the healthcare system. But what does value really mean? Experts in pricing and market access offer thoughts on how we might solve the value equation to improve patient access while continuing to reward innovation. – Erin Mistry, Managing Director Pricing and Access, Syneos Health – Mike Bonney, Executive Chair, Kaleido Lifesciences – Tamar Thompson, Executive Director, State Government Affairs & Federal Payment, Bristol-Myers Squibb

12:00pm – 12:15pm: Possible Talk

12:15pm – 12:45pm: MassBio Presidential Address – Robert K. Coughlin, President and CEO, MassBio

12:45pm – 2:00pm: Lunch

2:00pm – 3:00pm: From Academia to Commercialization: What’s the Threshold of Data Needed to Start a New Company? [Science Track] In 2012, Nature famously published a review by a former Amgen head of oncology research that 10% of landmark studies could not be reproduced. Company founders and initial investors must be certain that the academic work underpinning the foundational science and licensed patents are grounded in a sufficiently robust body of multiple lines of evidence can be reproduced. Serial founders and prolific professors discuss how to be sure initial scientific results are both fundable and can be advanced to “pharma grade”. – Irene Abrams, Vice President, Technology Development and New Ventures, Boston Children’s Hospital – Irena Ivanovska, Boston Site Head, Celdara Medical – Issi Rozen, Chief Business Officer, Broad Institute

2:00pm – 3:00pm: Early Stage Funding in the Era of Venture Creation [Business Track] Over the past decade, new biotech company creation has shifted away from investing in entrepreneurs to the venture creation model, where venture investors themselves assess an unmet medical need and create a company to address it. Yet, companies continue to spawn outside the venture creation model. Come hear experts discuss how they’ve raised money outside of the venture creation model through new sources of capital. – Paula Ragan, CEO, X4Pharmaceuticals – Rosemary Reilly, Partner, WilmerHale – Ramani Varanasi, CEO, X-Biotix

3:00pm – 4:00pm: Addressing the challenges of Large Population Diseases. [Science Track] As we better understand the genetics of disease, we can increasingly treat the underlying disease mechanisms rather than the superficial disease etiology. Biomarker testing toward improved drug effectiveness in defined sub-groups have made this a reality. Unlike oncology, where this concept is now mainstream, how might precision medicine apply to large patient populations like cardiovascular and neurodegenerative diseases? This panel will discuss the challenges and opportunities for precision medicine in these widespread maladies. – Calum MacRae, Vice Chair for Scientific Innovation, Brigham and Women’s Hospital, Harvard Medical School

3:00pm – 4:00pm: The Evolving Massachusetts Ecosystem: How Can we Continue to Sustain our Growth? [Business Track] Massachusetts is the #1 life sciences cluster in the world, in large part due to the collaboration and partnership among academia, industry, and government. The vibrant startup scene, along with a wealth of talent, is keeping and attracting big pharma and investors to the area, creating a collaborative environment unlike anywhere else. Yet, major challenges face the industry’s continued success in Massachusetts, from workforce development to sky-high rents to traffic. Come hear Massachusetts leaders discuss how the ecosystem is evolving and what we must do to remain on top. – Tanisha Sullivan, Associate General Counsel, Industrial Affairs, Sanofi Genzyme – Johannes Fruehauf, Founder & CEO, LabCentral

4:00pm – 4:30pm: Networking Break

4:30pm – 5:30pm: The State of Neurodegenerative Disease: Drug Targets & Alternative, Patient-Centric Clinical Endpoints [Science Track] Despite massive investments in research for diseases like Alzheimer’s and Parkinson’s, treatment options for patients are largely non-existent. ‘Soft’ clinical endpoints like Cognitive Impression scores are difficult to demonstrate statistical significance even when underlying biology is being modified. Industry and practicing clinicians share how they are introducing modern imaging and biomarker measurements as ‘harder’ endpoints to the FDA, along with including diverse patients in earlier trials to better predict large pivotal trials. – Robert Alexander, Vice President and Head, Global Clinical Science Neuroscience, Takeda – Joseph J. Higgins, MD FAAN, Vice President, Clinical Development, Huntington’s Disease Program Lead, Uniqure – John Torous, Director, Digital Psychiatry Division, Beth Israel Deaconess Medical Center 4:30pm – 5:30pm: Addressing the Opioid Crisis [Business Track] Pain treatment remains a pressing need, but opioid abuse grew by >10%, killing nearly 50,000 Americans in 2018. Despite decades in the spotlight, how can policy and law enforcement, medical providers and the biopharma industry come together to reverse the trend?

6:00pm – 9:00pm: State of Possible Celebration at the Museum of Science Join us for drinks, food and networking at the Museum of Science!

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2019 Koch Institute Symposium – Machine Learning and Cancer, June 14, 2019, 8:00 AM-5:00 PM ET MIT Kresge Auditorium, 48 Massachusetts Ave, Cambridge, MA, 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)

eProceeding 2019 Koch Institute Symposium – 18th Annual Cancer Research Symposium – Machine Learning and Cancer, June 14, 2019, 8:00 AM-5:00 PM ET MIT Kresge Auditorium, 48 Massachusetts Ave, Cambridge, MA

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

#KIsymposium

AGENDA

https://custom.cvent.com/C09E632203614BC295DA40B01F45218F/files/47a27352fc1f4eb486236a34203f6396.pdf

https://ki.mit.edu/news/symposium/2019

 

8:00–9:00 Coffee Break Registration

 

9:00 –9:10 Introductory Remarks Tyler Jacks Koch Institute, MIT Phillip Sharp Koch Institute, MIT

  • INTERDISCIPLINARY research at the interface of Cancer with other disciplines, this year CS, ML,

9:10–10:30 Machine Learning in Cancer Research: The Need and the Opportunity

Moderator: Phillip Sharp, Nobel Laureate 

  • ML and cancer @MIT over a decade under discussion, ML & Cancer in research is embryonic
  • REENGINEERING Healthcare using ML: understand disease, treating it
  • MIT Stephen A. Schwarzman College of Computing, AI and Healthcare – an MIT commitment of a $MILLION
  • COST OF DRUGS IS A THIRD IN TREATMENT — TOO HIGH,

James P. Allison MD Anderson Cancer Center, Nobel Laureate FOR CURE OF CANCER, THE ONLY ONE

Immune checkpoint blockade in cancer therapy: Historical perspective, new opportunities, and prospects for cures

  • long survival on ipilimumab – Lung cancer pleural effusion
  • CTLA-4Blockade – attenuated or Terminate Proliferation vs unrestrained Proliferation – APC
  • PD-1 – Ipi/Nivo vs. Ipi in metastatic Melanoma – 10 years survival after initial three years
  • FDA Approved CTLA-4 and Anti-PD-1 for a dozen indication
  • CD4, CD8, NKT – CHeckpoint blockage modulates MC38 infiltrating T cell population frequency
  • Cellular mechanism interaction
  • T cell differentiation is complex – negative costimulation regulate T cell differentiation
  • comprehensive profiling of peripheral T cell arising
  • Expansion of phynotype – distinct gene expression
  • Transcription loss of PD-1 expands CD8 T cells
  • Nuanced Model – T cell differentiation
  • Role of T cells in Immunotherapy

Aviv Regev Broad Institute; Koch Institute, MIT

Cell atlases as roadmaps to cancer

  • Experimental data and computation data
  • Tumors: a complex cellular ecosystem
  • Genetic pathology, Combination therapy Genetic variants and
  • Components vs Programs (regulatory, pathways, tissue modules, disease road map)
  • ML Applications: Immunotherapy in melanoma
  • Learning an single cell profiling and spatial organization – massively parallel cell profiling
  • malignant cells from T cell cold tumors
  • T cell T cell CD8 Malignant: Resistant
  • Computational search predicts CDK4/6 as program regulators
  • the resistance program is reversed abemaciclib sensitized to B16
  • Resistance to immunotherapy in Melanoma
  • Generalize across types of cancers – Resistance to treatment
  • Atlas for Synovial sarcoma has anti-tumor activity in its immune environment
  • Melanoma vs Synovial sarcoma (SS18-SSX fusion directly controls the core oncogenic program
  • Target the core oncogenic program therapeutically
  • IFN from CD8 T NF repress the program
  • Insi2Vec: Define a cell by intrinsic and extrinsic and spatial features: generalize across patient samples in melanoma
  • Identifying key patio-molecular archetypes
  • Expanding to full Transcriptome
  • Emerging toolbox for spatial genomics: Protein, RNA,
  • Compressed sensing,

Regina Barzilay MIT Computer Science and Artificial Intelligence Laboratory; Koch Institute,

MIT How machine learning changes cancer research

  • ML & Clinical Oncology
  • Data Science perspective – Raw Data to Cure: Extract information
  • NLP – penetration of deepLearning @MGH
  • Drug discovery – New molecules
  • MIT – ML in drug discovery
  • Risk models: age, family history, prior breast procedures breast density
  • High risk and Breast density
  • Myth #1: DEMOCRATIZATION OF AI – deep learning and customization
  • Myth @2: Bias – Deep Learning allows across population studies
  • Myth #3: Black-Box Architecture 0 @MIT Interpretable models
  • J-Clinic @MIT – ML and Healthcare Hospitals are recruited to use the algorithms

11:00–12:25 Machine Learning to Decipher Cellular and Molecular Mechanisms in Cancer

Moderator: Matthew Vander

Heiden Michael Angelo Stanford University

Comprehensive enumeration of immune cells in solid tumors using Multiplexed ion beam imaging (MIBI)

  • Tissue imaging – high dimensional, multiplexing: high sensitivity, dynamic range,
  • GI Tissue selection – Immunofluorescence (IF)  fluorophores – elemental reporters and mass spectrometry  Label antibody,
  • Immune populations in triple negative breast cancer
  • Patient stratification survival
  • mixed tumor: Immune cells, non immune cells – response to PD-1
  • Single cell: imaging data trained by nuclear interior ( nuclei only, , segmentation channel using DeepCell v1.0
  • TB granulomas,
  • Cell type identification with deep learning – No downstream
  • 3D Segmentation Melanoma
  • Assays and Ion sources

Olga Troyanskaya Princeton University

Decoding cancer genomes with deep learning

  • genome to phenotype – BIG genomics data to understand human disease
  • exosome – non coding region
  • gene regulation affected by genome for gene expression
  • sequence specific
  • Interpreting a genome: predicting the effect of any mutation: coding variant vs non-coding variance – regulatory code, transcription marks, DeepSEA – model learns from one genome interactions of biochemical level models, variants motives cell type
  • Interpreting a Genome: predicting the effect of any mutation: Noncoding variant effect in ASD from WGS data
  • DeNovo mutations: How impactful are these mutations in Autism patients – to % not explained by sequencing
  • DeepSEA identifies significant noncoding regulatory mutation burden in ASD
  • Cell-type specific expression models capture tissue-specific
  • ExPecto-prioritized putative casual GWAS variants
  • HumanBase Networks best model selected are

Dana Pe’er Sloan Kettering Institute

Manifolds underlying plasticity in development, regeneration and cancer

  • Asynchronous Nature of Cells
  • Single cell transitional states, homeostatic
  • Representing population structure as a neighbor graph: each node is a cell connected to a neighborhood – diffusion components Magic: Using structure for data recovery
  • PALANTIR: a probabilistic model for cell fate
  • Learn differentiation trajectories/pseudo-time ordering
  • Computing Differentiation probabilities stochastic process – branch
  • The gut tube comprises cells of two distinct regions
  • mammal cell plasticity – endodermal organ identities in space
  • VE cells express key organ lineage regulators similarly to DE cell
  • Uncovering unappreciated lineage relationship
  • Lung adenocarcinoma – tumor – 10% are cancer cell the rest are not therefore – they are ORGANS
  • Primary tumor exhibit epithelial progenitor cells
  • Pancreatic Ductal Adenocarcinoma – ductal Metaplasia
  • Immune ecosystem reprogrammed
  • Leptomeningeal niche — iron binding – adopt environment and prevent iron from the immune system
  • Tumor plasticity – Mutation Kras + injury to cause pancreatic cancer

 

Peter Sorger Harvard Medical School

Measuring and modeling variability in drug response in cells, tissues and clinical trials

  • combination therapy and drug synergy
  • Re-digitalization of 300 clinical trials
  • combination immunotherapy: Assumption each patient benefits from both = synergy
  • vs the assumption of NO interaction: each Patient benefit from ONE or the Other
  • Novartis PDX models
  • Gastric Cancer PDXs
  • Three way combination drug therapy – a deeper look at RAF and MEK inhibitors in BRAF mutant melanoma
  • Pharmacology of ‘reconstituted pulses” independent action
  • Heterogeneous response – sophisticated stratification of patients Four biopsy vs Three Biopsy
  • Highly multiplexed, high resolution image of FFPE specimens
  • Assaying the effects of multiple possible
  • Cancer Precision Medicine per NCI
  • Precision medicine based on therapeutic response at sisngel cell level
  • Pharmacological synergy is over emphsized – time sensitivity prevent the interactions expected

12:30–2:00 Lunch Break

2:00–3:00 Big Data, Computation and the Future of Health Care

Moderator: Susan Hockfield

Jay Bradner Novartis Institutes for BioMedical Research

  • AI is a Tool in all phases of drug discovery integrated analysis of epigenetics
  • strategy for investment in 400 Scientists, big data
  • monitoring of Clinical Trial around the  World
  • generative chemistry – 100 years of discovery in chemistry
  • validation models – bring trials to patients – distributed model of participation
  • catalyst – ML in biological experimentation
  • Published 700 articles per year at Novartis by 400 scientists
  • Population Data sets
  • IN 5 YEARS MASSIVE data will dominate molecule selection in Drug delivery

Aine Hanly VP Amgen

  • 17% improvement in survival rate in 50 years
  • Data infrastructure investment paid off
  • Partnerships, interoperability in EMR

Clifford Hudis American Society of Clinical Oncology (ASCO)

  • 75% of communication is by FAX still
  • White cell data count – convert data structure on EMR
  • Data in the Cloud for sharing
  • 165 Million in US — employer covers health cost
  • ACCESS to 2,000 clinical trials for repurposing

Constance Lehman Massachusetts General Hospital

  • Pathway – Screening mammograms is run via the algorithm, report generated, Radiologist accept or reject the mobile presented
  • more domains need AI and specialties of Medicine
  • Development and implementation then dissemination to multiple sites
  • In 1000 mammogram only 8 cancers detected

David Schenkein GOOGLE Venture (GV)

  • Regeneron, Geisinger Health System, Amgen – Big data repositories are built
  • Clinical Trials and big data
  • delivery side: AI: Pathology and Radiology, early diagnostics:
  • AI in MDs Offices to record the entire sessions
  • diagnostics – Foundation Medicine diagnostics had difficult time to prove improvement to justify reimbursement

 

3:00–3:15 Break

 

3:15–4:40 Machine Learning into the Clinic

 

Moderator: Sangeeta Bhatia, Koch Institute, MIT

Tommi S. Jaakkola MIT Computer Science and Artificial Intelligence Laboratory

Machine learning for drug design

  • Automation arises from data
  • How much data is enough? assay size vs all spectrum
  • MIT Consortium on Drug Discovery: 13 Pharma, chemistry Department, Chemical Engineering Department, CSMIT Consortium on Pharmaceutical Discovery
  • multi-resolution representations
  • substructures with precision attachment – what atoms are underlined
  • predicting molecular properties
  • programmatic optimization – machine translation problem in analogy – learn the mapping principles from examples
  • Example comparisons – Programmatic optimization – Success %
  • Understanding: Accuracy- interpretable, statistical constraints inserted
  • integrations with biology and cancer research
  • Automating Drug Design – learn from exampl

Andrew Beck PathAI

Artificial intelligence for pathology: From discovery to AI-powered companion diagnostics

  • Pathologic diagnosis informs all subsequent medical decisions
  • Discordance among pathologists is common in interpretation of breast biopsy
  • Discordance among pathologists is common in interpretation of skin biopsy – melanoma
  • Discordance among pathologists is common in interpretation across all fields: NSCLC, bladder,
  • AI – deep learning is driving major advances in computer vision
  • Reduce errors training set vs validation set
  • computer vision vs Human eye – machine learning is BETTER
  • Labeled and counting data standardization requires work with the community of Pathologists
  • Automatic interpretation of cells and tissues
  • Immuno-oncology
  • TisSue and cellular phenologies – Pathological phenotypes
  • BMS – CD8 continuum – Phenotype : Identify stromal and parenchymal CD8 infalmmation
  • AI project with Novartis

Brian Wolpin Dana-Farber Cancer Institute

Early detection of pancreatic cancer

  • ML for Pancreatic Cancer Early detection
  • Metabolic alterations: Muscle wasting, subcutaneous adipose
  • Automated Peripheral Tissue Segmentation
  • 30,000 scans: changes by race, age, : Image-Based Risk Modeling within Large Health Systems

longitudinal Cohorts: Risk Factors

  • Diabetes related to pancreatic cancer
  • risk for weight and Diabetes
  • Medication: Start and Stopped: NSAIDs, Tylenol, H2 Blocker, PPI, anti- HTN,
  • ML – early detection: altered systemic metabolism

Stephen Friend University of Oxford

From complex to complicated problems: What are the known unknowns, and unknown unknowns in using wearables to forecast symptom transitions

  • Pattern recognition for prognosis NEJM 20 years took since Breast cancer started to benefit from pattern recognition
  • Participants-Centered
  • 10M smart watches
  • APPLE – many studies Smart watch – 15,000 participants donate data via their watch – large scale ALERT based on data analysis
  • Inter-individual Diversity
  • Personal Health Assistant
  • all day sensing & recording
  • Health Assessment – signals to Symptoms
  • Deep Learning – multiple stages of non-linear feature transformation
  • Vector Institute – data analysis was done [Pregnancy]
  • Forecasting – binary labels: Well or Sick, intra and inter-individual longitudinal
  • 4YouandMe  – Foundation
  • Wearables for Cancer patients

4:40–4:45 Closing Remarks Phillip Sharp Koch Institute, MIT

 

 

Machine Learning and Cancer

The 18th Annual Koch Institute Summer Symposium on June 14, 2019 at MIT’s Kresge Auditorium will focus on Machine Learning and Cancer.

Both fields are undergoing dramatic changes, and their integration holds great promise for cancer research, diagnostics, and therapeutics. Cancer treatment and research have advanced rapidly with an increasing reliance on data-driven decisions. The volume, complexity, and diversity of research and clinical data—from genomics and single-cell molecular and image-based profiles to histopathology, clinical imaging, and medical records—far surpasses the capacity of individual scientists and physicians. However, they offer a remarkable opportunity to new approaches for data science and machine learning to provide holistic and intelligible interpretations to trained experts and patients alike. These advances will make it possible to provide far better diagnostics, discover possible chemical pathways for de novo synthesis of therapeutic compounds, predict accurately the risk of individuals for development of specific cancers years before metastatic spread, and determine the combination of agents that will stimulate immune rejection of a tumor or selectively induce the death of all cells in a tumor.

The symposium will address these issues through three sessions:

  • Machine Learning in Cancer Research: the Need and the Opportunity
  • Machine Learning to Decipher Cellular and Molecular Mechanisms in Cancer
  • Machine Learning into the Clinic

Sessions will be followed by a panel discussion of broadly informed experts moderated by MIT President Emerita Susan Hockfield.

Introductory remarks will be given by symposium co-chairs and Koch Institute faculty members Regina Barzilay, Aviv Regev and Phillip Sharp.

 

Keynote Speakers | Machine Learning in Cancer Research: the Need and the Opportunity

James P. Allison, PhD

MD Anderson Cancer Center

Regina Barzilay, PhD

MIT Computer Science and Artificial Intelligence Lab, Koch Institute for Integrative Cancer Research at MIT

Aviv Regev, PhD

Broad Institute, Koch Institute for Integrative Cancer Research at MIT

 

Session Speakers

Michael R. Angelo, MD, PhD

Stanford Unviersity

Andrew Beck

PathAI

Stephen H. Friend, MD, PhD

Sage Bionetworks

Tommi Jaakkola, PhD

MIT Computer Science and Artificial Intelligence Lab

Dana Pe’er, PhD

Memorial Sloan Kettering Cancer Center

Peter Sorger, PhD

Harvard Medical School

Olga Troyanskaya, PhD

Princeton University

Brian Wolpin, MD

Dana-Farber Cancer Institute

 

Panel Discussion | Big Data, Computation and the Future of Health Care

James (Jay) Bradner, MD

Novartis

Clifford A. Hudis, MD

American Society of Clinical Oncology

Constance D. Lehman, MD, PhD

Massachusetts General Hospital

Norman (Ned) Sharpless, MD

National Cancer Institute

 

Moderator: Susan Hockfield, PhD

Koch Institute for Integrative Cancer Research at MIT

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From: 2019 Koch Institute Symposium <ki-events@mit.edu>

Reply-To: <ki-events@mit.edu>

Date: Tuesday, March 12, 2019 at 11:30 AM

To: Aviva Lev-Ari <AvivaLev-Ari@alum.berkeley.edu>

Subject: Invitation to the 2019 Koch Institute Symposium – Machine Learning and Cancer

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  • World Medical Innovation Forum, Partners Innovations, ARTIFICIAL INTELLIGENCE | APRIL 8–10, 2019 | Westin, BOSTON

Reporter: Aviva Lev-Ari, PhD, RN

 

https://worldmedicalinnovation.org/agenda/

Aviva Lev-Ari, PhD, RN Founder, LPBI Group

will cover this event in Real Time

@AVIVA1950

@pharma_BI

3.1.1

3.1.1   World Medical Innovation Forum, Partners Innovations, ARTIFICIAL INTELLIGENCE | APRIL 8–10, 2019 | Westin, BOSTON, 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

Monday, April 8, 2019

7:00 am – 8:00 am
7:00 am – 5:00 pm
8:00 am – 9:40 am
Bayer Ballroom

First Look

Nine rapid fire presentations on the applications of AI in Clinical Care

Moderator: Giles Boland, MD
  • Chair, Department of Radiology, BWH; Philip H. Cook Professor of Radiology, HMS
Moderator: Trung Do
  • VP, Business Development, Innovation, PHS
9:40 am – 9:55 am
9:55 am – 11:35 am
Bayer Ballroom

First Look

Nine rapid fire presentations on the applications of AI in Clinical Care

11:45 am – 1:00 pm

Discovery Café Sessions

Lunch with Top Leading Experts: Intensive sessions addressing cutting-edge artificial intelligence topics.

Applying AI to Save Lives During the Opioid Crisis

The U.S. is in the throes of a devastating epidemic of opioid addiction and overdose — some 130 people die in this country every day from opioids, says the National Institute on Drug Abuse. With a total economic cost of more than $78 billion a year, academic and industry organizations are harnessing AI to develop new tools that can help alleviate this national crisis. This session will discuss some of the AI-based strategies that academic and industry teams are leveraging to help clinical and public health officials better predict, identify, and treat opioid addiction, as well as some of the concerns around data privacy.

Moderator: Thomas Sequist, MD, Chief Quality & Safety Officer, PHS

Bob Burgin, CEO, Amplifire Healthcare Alliance

Carm Huntress, CEO, RxRevu Inc

Sarah Wakeman, MD, Medical Director, Substance Use Disorder Initiative, MGH; Assistant Professor, Medicine, HMS

Scott Weiner, MD, Director, Brigham Comprehensive Opioid Response and Education (B-CORE) Program, BWH; Assistant Professor, HMS

Community Hospitals: Key Component in Healthcare Transformation

Community hospitals are the largest sources of patient care in the U.S. As such, they represent a critical frontier in the transformation of health care. How are these organizations using AI and digital technologies to drive transformation? What are the key distinctions from academic medical centers? This session will address these and other critical topics that impact community hospitals and their essential, though often overlooked, role in health care.

Moderator: Michael Jaff, DO, President, NWH, PHS, Professor of Medicine, HMS

Fabien Beckers, PhD, CEO, Arterys

Joanna Geisinger, CEO, TORq Interface

Lee Schwamm, MD, Director, Center for TeleHealth and Exec Vice Chair, Neurology, MGH; Professor, Neurology, HMS

Tal Wenderow, CEO, Beyond Verbal

Digital Management of Diabetes

Across the full spectrum of patient care, the management of diabetes has been flooded with new technology and treatment options for both type 1 and type 2 diabetes – there is a range of new devices and software, including automatic insulin infusion systems, glucose sensors, AI-based algorithms and decision support tools, with artificial pancreas on the horizon. This session will focus on these areas as well as clinical use cases that highlight the value of AI.

Moderator: Deborah Wexler, MD, Clinical Director, Diabetes Center, MGH; Associate Professor, HMS

Marie McDonnell, MD, Section Chief and Director, Diabetes Program, BWH; Lecturer, HMS

Joshua Riff, MD, CEO, Onduo

Emergency Medicine

Mental Health and the Promise of AI

Moderator: Sabine Wilhelm, PhD, Chief of Psychology; Director, OCD and Related Disorders Program, MGH; Professor, Psychology, HMS

Thomas McCoy, MD, Director of Research, Center for Quantitative Health, MGH; Assistant Professor, Psychiatry & Medicine, HMS

Christopher Molaro, CEO, Neuroflow

David Silbersweig, MD, Chairman, Department of Psychiatry, BWH; Stanley Cobb Professor of Psychiatry, HMS

From Startup to Impact (Pharma and Diagnostics)

With all the hype surrounding AI, this session will focus on what really matters. Impact! Who is really moving the needle in life sciences today? This session will introduce you to five leading companies who will share their client stories over lunch.

Moderator: James Brink, MD, Radiologist-in-Chief, MGH; Juan M. Taveras Professor of Radiology, HMS

1:00 pm – 1:15 pm
1:15 pm – 1:45 pm
Bayer Ballroom
1:45 pm – 2:35 pm
Bayer Ballroom

AMC AI Strategy: AI from the Top

  • Board Member, PHS; President Emerita and Professor of Neuroscience, MIT
  • 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; 2019 Forum Co-Chair
  • Chief Clinical Officer, PHS; Professor of Medicine, HMS; 2019 Forum Co-Chair
2:35 pm – 3:25 pm
Bayer Ballroom

RWE and Trial Optimization in the AI Era

Moderator: Thomas Lynch, MD
  • EVP and CSO, R&D, Bristol-Myers Squibb
  • CMO, CSO, SVP Oncology, Flatiron Health
  • EVP MA&PV and Bayer CMO, Bayer AG
  • Chief Architect, Microsoft Healthcare
  • CEO, My Own Med Inc.
  • Executive Director, Clinical Trials Office, PHS; Associate Professor of Medicine, HMS
3:25 pm – 4:15 pm
Bayer Ballroom

AI Driven Value-Based Care

Moderator: Timothy Ferris, MD
  • CEO, MGPO; Professor of Medicine, HMS
  • CEO, American Heart Association
  • EVP, President, Network Solutions Change Healthcare
  • Vice Chairman, Investment Banking and Managing Director Lazard Freres
  • CEO, NHS England
4:15 pm – 5:05 pm
Bayer Ballroom

Cardiovascular Care: Reinvented Through AI

  • Vice Chair for Scientific Innovation, Department of Medicine, BWH; Associate Professor of Medicine, HMS
  • President, Bayer Pharma Americas Region, Bayer
  • Director, Cardiac Imaging MR PET CT Program, MGH; Professor, Medicine, HMS
5:15 pm – 6:15 pm

Tuesday, April 9, 2019

7:00 am – 8:00 am
7:00 am – 5:00 pm
7:50 am – 8:00 am
Bayer Ballroom

Opening Remarks

  • Chief Innovation Officer, PHS; President, Partners HealthCare International
8:00 am – 8:50 am
Bayer Ballroom

Implementing AI in Cancer Care

  • Associate Surgeon, BWH; Richard E. Wilson Professor of Surgery in the Field of Surgical Oncology, HMS
  • Chief, Breast Imaging Division, MGH; Professor of Radiology, HMS
  • President and Co-Founder, LunaDNA
  • Delta Electronics Professor, Electrical Engineering and Computer Science Department, MIT
  • Director, Cancer Genome Analysis, Broad Institute; Professor of Pathology, HMS
  • CEO, insitro
8:50 am – 9:40 am
Bayer Ballroom

Imagining Medicine in the Year 2054

In 1984 Isaac Asimov was asked to predict what life in 2019 would be like. Using the same aperture, we as what will health care look like 35 years from now? What capabilities will clinicians have that they now struggle with? And what will be the biggest challenges? Current trends suggest that we will see some significant gains in the areas of cancer immunotherapy, gene therapy for devastating rare diseases, and treatments for common neuropsychiatric conditions, including schizophrenia and depression. Panelists will draw on their visionary perspective and will reflect on what to expect and why.

Moderator: Keith Flaherty, MD
  • Director, Clinical Research, MGH; Professor of Medicine, HMS
  • Vice Chair for Scientific Innovation, Department of Medicine, BWH; Associate Professor of Medicine, HMS
  • Director, Cellular Immunotherapy Program, MGH; Assistant Professor, Medicine, HMS
  • Vice-Chair, Neurology, Director, Genetics and Aging Research Unit, MGH; Joseph P. and Rose F. Kennedy Professor of Neurology, HMS
  • CEO, Biogen
9:40 am – 10:10 am
10:10 am – 10:40 am
Bayer Ballroom
10:40 am – 11:30 am
Bayer Ballroom

CEO Roundtable

Moderator: Anne Klibanski, MD
  • Chief Academic Officer, PHS; Laurie Carrol Guthart Professor of Medicine, Academic Dean for Partners, HMS; 2019 Forum Co-Chair
  • EVP and Chief Commercial Officer, Bristol-Myers Squibb
  • CEO, Philips
  • EVP, Head, Pharmaceuticals Research & Development, Bayer AG
  • CEO, Siemens Healthineers
  • CEO, GE Healthcare
11:45 am – 1:00 pm

Discovery Cafe Sessions

Lunch with Top Leading Experts: Intensive sessions addressing cutting-edge artificial intelligence topics.

Back Office of the Provider Future

Moderator: Peter Markell, EVP, Administration and Finance, CFO and Treasurer, PHS

Kent Ivanoff, CEO, VisitPay

Connie Moser, Chief Operating Officer, Verge Health

Chief Digital Strategy Officer Roundtable

With the advent of healthcare AI-enabled technologies, this session brings together several chief digital health officers from a range of organizations. The discussion will address key tradeoffs in sequencing technology across academic medical centers; what technologies are being prioritized; and how consumer expectations are impacting the future delivery model of healthcare.

Moderator: Alistair Erskine, MD, Chief Digital Health Officer, PHS

Michael Anderes, Chief Innovation and Digital Health Officer, Froedtert Health; President, Inception Health

Adam Landman, MD, VP and CIO, Brigham Health; Associate Professor of Emergency Medicine, HMS

Aimee Quirk, CEO, innovationOchsner

Richard Zane, MD, Chief Innovation Officer, UCHealth; Professor and Chair,Department of Emergency Medicine, University of Colorado School of Medicine

Innovation Fellows: A New Model of Collaboration

The Innovation Fellows Program provides short-term, experiential career development opportunities for future leaders in health care focused on accelerating collaborative innovation between science and industry. It facilitates personnel exchanges between Harvard Medical School staff from Partners’ hospitals and participating biopharmaceutical, device, venture capital, digital health, payor and consulting firms. A successful example of open innovation, Fellows and Hosts learn from each other as they collaborate on projects ranging from clinical development to digital health & artificial intelligence to new care delivery models and industry disruption. Come listen to the experience and insights of our panelists, including Fellows, Industry Partners and hospital leadership, and learn how this new model of collaboration can deliver value and lead to broader relationships between industry and academia.

Last Mile: Fully Implementing AI in Healthcare

Moderator: Keith Dreyer, DO, PhD, Chief Data Science Officer, PHS; Vice Chairman, Radiology, MGH; Associate Professor, Radiology, HMS

Katherine Andriole, PhD, Director of Research Strategy and Operations, MGH & BWH CCDS; Associate Professor, Radiology, HMS

Samuel Aronson, Executive Director, IT, Personalized Medicine, PHS

Seth Hain, VP of R&D, Epic

Jonathan Teich, MD, PhD, Chief Medical Information Officer, InterSystems; Emergency Medicine, BWH

Reimagining Disease Management

Moderator: Sree Chaguturu, MD, Chief Population Health Officer, PHS; Assistant Professor, Medicine, HMS

Murray Brozinsky, Chief Strategy Officer, Conversa

Jean Drouin, MD, CEO, Clarify Health Solutions

Sandhya Rao, MD, Senior Medical Director, Population Health, PHS; Assistant Professor, Medicine, HMS

Standards and Regulation: The Emerging AI Framework

From Startup to Impact (Provider Solutions)

With all the hype surrounding AI, this session will focus on what really matters. Impact! Who is really moving the needle for healthcare providers today? This session will introduce you to five leading companies who will share their client stories over lunch.

Moderator: Meredith Fisher, PhD, Partner, Partners Innovation Fund, PHS

1:00 pm – 1:10 pm
1:10 pm – 2:00 pm
Bayer Ballroom

China: AI Enabled Healthcare Leadership

Moderator: James Bradner, MD
  • President, Novartis Institutes for Biomedical Research
  • CEO, Infervision
  • Managing Partner, Qiming Venture Partners
2:00 pm – 2:30 pm
Bayer Ballroom

1:1 Fireside Chat: Mark Benjamin, CEO, Nuance

Moderator: Peter Slavin, MD
  • President, MGH; Professor, Health Care Policy, HMS
  • CEO, Nuance Communications
2:30 pm – 3:00 pm
3:00 pm – 3:50 pm
Bayer Ballroom

Getting to the AI Investment Decision

  • VP, Venture & Managing Partner, Partners Innovation Fund, PHS
  • Managing Director, Bain Capital Life Sciences
  • Managing Partner, Polaris Partners
  • SVP, Strategy, Commercialization & Innovation, Amgen
  • Managing Director, Healthcare Group, Goldman Sachs
  • Partner, Google Ventures
3:50 pm – 4:20 pm
Bayer Ballroom
4:20 pm – 5:10 pm
Bayer Ballroom

Consumer Healthcare and New Models of Care Delivery

Moderator: Diana Nole
  • CEO, Wolters Kluwer Health
  • President, Global Strategy Group, Samsung; Founder, CareVisor
  • VP and Global CTO, Sales, Dell EMC
  • President, Health Platforms, Verily Life Sciences
  • VP and Chief Health Officer, IBM Corporation
  • SVP, Head of Innovation and Health Equity Microsoft Healthcare
5:15 pm – 6:15 pm

Wednesday, April 10, 2019

7:00 am – 12:00 pm
7:30 am – 9:30 am
Bayer Ballroom

Innovation Discovery Grant Awardee Presentations

Twelve clinical AI teams culled through the Innovation Discovery Grant program present their work illustrating how AI can be used to improve patient health and healthcare delivery. This session is designed for investors, entrepreneurs, investigators, and others who are interested in commercializing AI opportunities that are currently in development with support from the Innovation Office.

Moderator: David Louis, MD
  • Pathologist-in-Chief, MGH; Benjamin Castleman Professor of Pathology, HMS
9:30 am – 10:00 am
10:00 am – 10:30 am
Bayer Ballroom

1:1 Fireside Chat: Stefan Oelrich, Member of the Board of Management; President, Pharmaceutical, Bayer AG

Moderator: Betsy Nabel, MD
  • President, Brigham Health; Professor of Medicine, HMS
  • Member of the Board of Management, Bayer AG; President, Pharmaceutical, Bayer AG
10:30 am – 11:00 am
Bayer Ballroom

1:1 Fireside Chat: Deepak Chopra, MD, Founder, The Chopra Foundation

Moderator: Rudolph Tanzi, PhD
  • Vice-Chair, Neurology, Director, Genetics and Aging Research Unit, MGH; Joseph P. and Rose F. Kennedy Professor of Neurology, HMS
  • Founder, The Chopra Foundation
11:00 am – 11:50 am
Bayer Ballroom

Using AI to Predict and Monitor Human Performance and Neurological Disease

  • Chief of Neurology, Co-Director, Neurological Clinical Research Institute, MGH; Julieanne Dorn Professor of Neurology, HMS
  • Chief Scientist, Dolby Laboratories
  • Global Therapeutic Head, Neuroscience Janssen Research & Development
  • EVP and CMO, Biogen
  • CEO, Kitman Labs
11:50 am – 12:50 pm
Bayer Ballroom

Disruptive Dozen: 12 Technologies that will reinvent AI in the Next 12 Months

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

Moderator: Jeffrey Golden, MD
  • Chair, Department of Pathology, BWH; Ramzi S. Cotran Professor of Pathology, HMS
  • Associate Chief, Infection Control Unit, MGH; Assistant Professor, Medicine, HMS
1:00 pm – 1:10 pm
Bayer Ballroom

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