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Privacy-Preserving Data Access and Collaboration for RWE Generation Across Locations: Advances, Opportunities, and Challenges
Session Chair(s)
Echo Wang, DrPH, MPH
Director, Outcome Research
Merck & Co., Inc, United States
Data privacy has been a long-standing challenge for RWD sharing and evidence generation across geography. This session will discuss privacy-preserving approaches that enable data access, sharing and collaboration in industry, academia and regulatory
Learning Objective : Outline privacy-preserving approaches for accessing and sharing real-world data (RWD); Share use cases leveraging various applications (e.g., federated learning networks, synthetic data) in industry, academia and regulatory for RWE generation; Examine regulatory perspectives, methodological challenges and identify future development needs.
Speaker(s)
Privacy-Preserving Solutions for RWD Access and Collaboration: A Life Science Industry Perspective on Challenges & Opportunities
Mehmet Burcu, PhD, MS, FISPE
Merck & Co., Inc., United States
Senior Director, Epidemiology
EMA generation of RWE in the EU context
Representative Invited
European Medicines Agency, Netherlands
Real-world applications of distributed data analytic solutions in real-world data networks
Darren Toh, DrSc, FISPE
Harvard Medical School and Harvard Pilgrim Health Care Institute, United States
Professor
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