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Machine Learning Enabled Digital Data Flow and Advanced Real-World Evidence
Session Chair(s)
Prasanna Rao
Global Head, Artificial Intelligence and Machine Learning
Pfizer Inc, United States
In this session, our experience in implementing AI driven solutions that established a digital data flow and how it improved cycle times will be discussed along with an approach to advanced real-world evidence using artifical intelligence, non-tradional data sources, and linkage. We will also discuss an enterprise-level real-world evidence/real-world data framework for data driven decision making in pharma and healthcare.
Learning Objective : Describe digital data flow in clinical trials; Discuss advanced real-world evidence and artificial intelligence; Describe ontology and dynamic linking of data for enterprise-wide insights.
Speaker(s)
Machine Learning Enabled Digital Data Flow
Prasanna Rao
Pfizer Inc, United States
Global Head, Artificial Intelligence and Machine Learning
Enterprise-Level Real-World Evidence/Real-World Data Framework For Data-Driven Decision Making In Pharma and Healthcare
Reena Gollapudy, PhD
Indegene Inc., United States
Senior Director, Real World Data/Evidence and Advanced Data Analytics
Advanced Real World Evidence: Artificial Intelligence, Non-Traditional Data Sources, and Linkage
Dan Riskin, MD, MBA
Verantos, United States
Founder and Chief Executive Officer
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