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Big Data: Genomics and Personalized Medicine
Session Chair(s)
Arpit Dave, MS
Executive Director and Head of Enterprise Information Management Solutions
Bristol-Myers Squibb, United States
Using big data to identify correlations and determinants of disease or to predict response to therapy.
Learning Objective : Describe challenges and opportunities of using big data to achieve more precise modeling of complex diseases.
Speaker(s)
Conundrum of Analytics in R&D: How to Drive Science by Leveraging Data
Arpit Dave, MS
Bristol-Myers Squibb, United States
Executive Director and Head of Enterprise Information Management Solutions
The Path from Big Data to Precision Medicine: Leveraging Population Analytics to Prevent, Intercept, and Cure Complex Disease
Bevan Emma Huang, PHD
Janssen Research & Development, LLC, United States
Associate Scientific Director
Connected Health Ecosystem: Practice Application of Precision Medicine
Michael Mentesana, MA
PriceWaterhouseCoopers LLP, United States
Partner, Global Pharmaceutical and Life Sciences R&D, Advisory Services Leader