LIVE 11/17 1:45PM – 5PM – The 12th Annual Personalized Medicine Conference, HARVARD MEDICAL SCHOOL, Joseph B. Martin Conference Center, 77 Avenue Louis Pasteur, Boston
Leaders in Pharmaceutical Business intelligence (LPBI) Group
Covering in Real Time using Social Media this Event on
Personalized Medicine
Aviva Lev-Ari, PhD, RN, Founder LPBI Group & Editor-in-Chief
http://pharmaceuticalintelligence.com
Streaming LIVE @ HARVARD MEDICAL SCHOOL,
Joseph B. Martin Conference Center
@pharma_BI
@AVIVA1950
November 17
#PMConf
1:45 p.m. — Leadership in Personalized Medicine Award
- Presenter: William S. Dalton, Ph.D., M.D., CEO, M2Gen, Chairman, Personalized Medicine Coalition
Science, Business and Patents: Millenium, Celgenics, and Medicine/Desease – Member of AAAS
co-Chair Cancer Consorcium
PM – 1990’s on. How Human Genome at Harvard will start a new center – reach out to the Global community, conference was born. PM as subject of a Global Conference, effirt started with Genzyme, Eric Launder, Broad, Collins at NIH – effort led to Obama Initiative in PM, Duke Medical System.
Challenge: Reimbursement for Genomics diagnosis
- PM – P care – by sequencing of Genome – become available commercially inexpensivelly
- Genetic component to become part and parcial of Medicine and Patient care
2:15 p.m. — Networking Break
2:45 p.m. — The Data Dilemma: Fulfilling Expectations of Big Data in the Future of Personalized Medicine
There is consensus that the massive amounts of genomic, clinical, claims and other types of data could yield important insights for research and clinical care. But for years, obstacles around technical standards, interoperability, privacy and confidentiality, data security, and consent have been held up as daunting challenges that inevitably slowed progress. During this discussion, a panel of academic and industry experts will discuss their respective organizations’ strategies to obtain and analyze the data, including what has worked and what has not; the programs and processes that have led to the most productive data usage; examples of important knowledge that has been derived from data analysis; and the infrastructure they believe is needed to achieve fulfillment of the potential of big data in personalized medicine nationwide.
- Moderator: Marcia A. Kean, M.B.A., Chairman, Strategic Initiatives, Feinstein Kean Healthcare
- How one works with 20 Partners at once?
- Paul Bleicher, M.D., Ph.D., CEO, OptumLabs
- Data collaboration of 35 Partners – bring value to Medicine, Like Bell Labs
- Academics, Hospitals, Physician offices – Constellations – groups of projects
- DATA is KEY — Public and Private Partnerships
- Christophe G. Lambert, Ph.D., Associate Professor, Center for Global Health, Division of Translational Informatics, Department of Internal Medicine, University of New Mexico
- VA Data, Co-Chair of Informatics, clinical , pharmaceutical stackholders
- Focus Groups Patient research Partners – How to automate data
- Centralization above nad decentralization, below COntrol mechanism govern all variables: Increase fitness of system vs Personal Control
- 1984-1998 Bi-Partisan support for Data in HealthCare
- Big Data for early detection, prevention, `
- AGING, Infectious and Pediatric disease – Investment in these areas
- Adam Margolin, Ph.D., Director, Computational Biology, Oregon Health & Science University School of Medicine
- Project with Intel – across institutions
- consorsium – success ration
- data sharing #1 Priority at the National Level
- Add value by data sharing, strategic investment in the healh system
- Edward J. Stepanski, Ph.D., Chief Operating Officer, Vector Oncology
- Propriatory real time reporting to Physicians – systematic – core asset, originally,
- Research Group use Warehouse doing Analytics, Tools development linked with clinical data with PRO and studies based on data integretion
- Success is more data – PRO data informing clinical data
- Defragmenting the care vs drive across town for care several units disaggregated geography vs all deaprtments in one location
3:45 p.m. — Keynote Speaker
“Medicine and the Targeted Marketing Problem”
We live in the golden age of cloud computing and machine learning. The organizing conundrum for the “big data era,” however, is a surprising one — the “targeted marketing problem” (i.e., the ability to better match the right customers to targeted messages). This talk will explore overlaps and similarities between the targeted marketing problem and precision medicine, and how advances in data sciences can be leveraged to create a learning medical system that in turn points to the health care system of the future.
- Introduction: Amy Abernethy, M.D., Ph.D., Chief Scientific Officer, Senior Vice President, Oncology, Flatiron Health
- Anthony Philippakis, M.D., Ph.D., Cardiologist, BWH, Chief Data Officer, Broad Institute and Partner, GV (Venture Capital)
Learning from Users
Five causes for cardiac death:
- MI,
- a-Fib
- Structural
- PE
- Aorta dissection
PreventionGenomic Sequencingvalue in Cardiology:
- Estonia BioBank – mutation carrier
- Familial Hypercholesterolemia – 4 genes involved,
- Prediction sudden cardiac death – larger data sets
- New Model for Human Subjects Research; DIrect-to-Participant: Potentia Advantages:
- cost, scalability, facilitate re-contact, frequent collection,
- My Research Legacy: Broad & AHA – Launched November 13, 2016
- Quantified Self –>> Quantigied Physical Exam: Face dysformia, Dysarthia, Ataxia,
- Identify every patient in the World with this disease
Data sharing: Inverting the Model ; ALL OF US – 1 Million – Precision Medicine with IBM – Mandate to innovate – Diversity: People, Geography, Health Status
Innovation in Genomic data sharing – bring data to researchers
SIX types od data wil be collected: Participant-provided Info, mHealth Data, Consent EMR
DATA Research CoreVanderbuilt, Verily Broad
- pharmacogenomics
Launch start ups cost
- Open source
- Cloud
- developers start ups
PLATFORM
GATK – workhorse of genomic data – Launched 4/2016
Partnerships: Amazon, google genomics, microsoft, IBM, Watson,
Announcing: BROAD + Intel Center for Advanced Genomic Data Engineering, Anthony Philippakis, M.D., Ph.D., Chief Data Officer, Broad Institute
Reference Architecture: Design: Single node, small cluster,
4:30 p.m. — Closing Remarks
- Edward Abrahams, Ph.D., President, Personalized Medicine Coalition
– See more at: http://www.personalizedmedicinecoalition.org/Conference/November_17_Program#sthash.zpTNQYKd.dpuf
#PMConf
SOURCE
http://www.personalizedmedicinecoalition.org/Conference/November_17_Program
Leave a Reply