Menu Back toMachine Learning Enabled Digital Data Flow and Advanced Real-World Evidence

DIA 2021 Global Annual Meeting


Machine Learning Enabled Digital Data Flow and Advanced Real-World Evidence

Session Chair(s)

Prasanna  Rao

Prasanna Rao

  • Head, Artificial Intelligence and Data Science
  • 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)

Prasanna  Rao

Machine Learning Enabled Digital Data Flow

Prasanna Rao

  • Head, Artificial Intelligence and Data Science
  • Pfizer Inc, United States
Reena  Gollapudy, PhD

Enterprise-Level Real-World Evidence/Real-World Data Framework For Data-Driven Decision Making In Pharma and Healthcare

Reena Gollapudy, PhD

  • Senior Director, Real World Data/Evidence and Advanced Data Analytics
  • Indegene Inc., United States
Dan  Riskin, MD, MBA

Advanced Real World Evidence: Artificial Intelligence, Non-Traditional Data Sources, and Linkage

Dan Riskin, MD, MBA

  • Chief Executive Officer
  • Verantos, United States