DIA 2025 Global Annual Meeting

Component Type: Session
Level: Intermediate

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 Objectives

Identify privacy-preserving approaches for accessing and sharing real-world data (RWD); Discuss 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.

Chair

Echo Wang, DrPH, MPH

Speaker

Real-world applications of distributed data analytic solutions in real-world data networks
Darren Toh, DrSc, FISPE

Privacy-Preserving Solutions for RWD Access and Collaboration: A Life Science Industry Perspective on Challenges & Opportunities
Mehmet Burcu, PhD, MS, FISPE