Leaders in Pharmaceutical Business Intelligence (LPBI) Group

LIVE Plenary Session 2015 BioIT, April 21, 2015, 4:00 – 5:00PM – Cambridge HealthTech Institute’s 14th Annual Meeting BioIT World – Conference & Expo ’15, April 21 – 23, 2015 @Seaport World Trade Center, Boston, MA

Dr. Aviva Lev-Ari will be in attendance on April 21, 22, 23

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Tuesday, April 21, 2015 * 4:00 – 5:00 pm

4:00 Event Chairperson’s Opening Remarks

Cindy Crowninshield, RDN, LDN, Senior Conference Director, Cambridge Healthtech Institute

IT and Pharmaceutical 3000 delegates, commitment to support the conversation.

4:05 Plenary Session

Introduction

Sanjay Joshi, CTO – Life Sciences, Emerging Technologies Division, EMC

Ten Rules to win a Nobel Prize

• Negative results vs Positive results
• Randomized Clinical Trials — the era is OVER
• Experimental Design: New approaches
• The Case of Junk DNA: Size does not matter
• Human Microbiome: Metabolic Reconstruction for Metagenomic Data and its Application to
• Methylation vs. Mutation: Human Hypomethylation in the Human Germline Associates wiht selective Structural Mutability in the hUman Genome
• Rare Variants Synthetic Genomic-Wide Association
• PLOS – most downloaded apper: COrollary 6: “Why most published research findings are false”

4:15 The Vision for Data at the NIH

Philip E. Bourne, Ph.D., Associate Director for Data Science (ADDS), National Institutes of Health; Founding Editor in Chief, PLOS

Biomedical research and resultant health outcomes are increasingly defined by how we effectively use an ever increasing amount of digital data. This has become a focus at NIH as part of what we term the digital enterprise. That enterprise is based on community engagement, policies that make sense and a workable infrastructure all of which embraces both the public and private sector, the need to train the next generation of data scientists and is motivated by new research possibilities using data at different scales. Our progress and how this community can engage will be discussed. Biographical Profile

• DATA and NIH:
• Ten simple rules to write a Grant
• Ten simple rules to get published – How to get a Nobel Prize?
• Digital enterprise – an ecosystem – efficient system to capture outcomes from the multiple projects funded
• The Second Machine Age by Erik Brynjolfsson @MIT
• BOLD – DIgitization of Basic and Clinical Research and EMRs:

1. 6Ds of exponational growth – context of HealthCare: Diception, Disruption, Demonitazation Dematerialization Democratization
2. SAS Analytics – 3rd Sage Bionetworks Commens Congress: Democratization will follow The Story of Meredith
3. How DREAM Challenge Recognition Can Help
4. Embrace Disruptions @NIH
5. Raise standards for preclinical cancer research – 47/53 “landmark” publications could not be replicated [Begley, Ellis Nature, 483, 2012]
6. $1 Billion budget of NIH — Research can’t be reproduced/replicate
7. Precision Medicine Initiative — emerged pn 1/30/2015 President Initiative, Speech.Announcement of 250 million dollars to start Precision Medicine
8. Francis Colin: Precision Medicine can be bigger than the Human Genome: 1 million volunteers, numerous existing cohorts,  – share genomic data, lifestyle information, biological samples, all linked to their electronic health records
9. OUTcome Sought after:

• pharmacogenomics
• matching conditions wiht therapies derived from the cohort data
• tiny implentable chips for data collection in vivo.
• altering drug doses based on data collected from cohort from invivo

1. data Science: The Big Dadta 2K Program in Central to the Mission: NIIH Data Initiative
2. Elements of the Digital Enterprise: Policies, COmmunities, Infrastructure: Research Cycle: Sustainability efficiency
3. NIH – ENIGMA — 12 Centers of Excellence

• MRI Images & GWAS – 30,000 people – 300 researcher around the World — Translation spectrum is covered
• Collaboration: Dat acomes fro ENIGMA Consortium
•  – accessibility to data
•  – standards for SW developemnt
• Genotype and Phynotype : Brain
• Data Discovery Index Coordinstion COnsortium (DDICC)
• Training awards
• WOrkshops to inform future funding
• softward indexing and discoverability — Gaming

1. COMMUNITIES 2015 Activities: Math, CS, Statistics
2. IDEAS lab with NSF
3. Competition with international funders
4. Softward carprntry, hackathons, PiDay
5. work without borders: GA4GH, RDA, FORCE11
6. SOcieties of the Modern Age, How to enable this age
7. POLICIES

• Genomics data sharing policies
• Data sharing plans on all research award not only for >$500,000
• Data Sharing plans Machine readable on all research awards
• data sharing plan enformats

1. Data Citations – Policies

• PubMed – Machine readable citation allowed, CItation Network – Data Citiation
• Paper are cited no  one read it — a Reference to  DB
• work into NLM/NCBI workflow
• Example formats for human readable data citation

1. Data Discovery: Software and Data
2. Standards – Announcing Development standards

ECOSYSTEM – Infrastructure The Commons

1. Digital Objects (with UIDs)
2. Search across all objects
3. Computing platform – Public Cloud Platform, SUper computing, Other Platforms
4. Business Model – no mapping of supply and demand of the dat as a Resource
5. Driving Competition – Common Compliance – Data Rich Computing poor, Data poor Computing rich
6. BROKER concept — aggregate across  users for most efficient use of NIH Funds – Grant run out — continue to measure use of data models if it sits in the common vs atrophy on PI desktop

INFRASTRUCTURE

1. Training, Collborations, Efficienncy and sustainability
2. Problem: Lack of Biomedical Data Science Specialists
3. Career path workshops – NIH Workforcce Development Center
4. Community -sources cataloging and indexing of training opportunities