AI for Automation and Digital Data Flow

1 minute read

Published: June 24th, 2026

Automate Programming and QC Processes, Accelerating Operations and Evidence Generation

This session will explore AI’s role in automating critical tasks in drug development. We will showcase how AI-powered technologies have been used to automate programming QC, systematic literature reviews, and streamline the identification of trial centers and KOLs, while highlighting AI’s role across clinical workflows in data management, programming, and biostatistics, and its impact in transforming biometrics into an earlier, upstream value driver.

Key Takeaways:

  • How siloed clinical data ownership creates value loss across development workflows
  • How AI-driven data flows replace fragmented processes with connected, end-to-end operations
  • Typical challenges in implementing AI in pharma research and practical ways to overcome them
  • How AI shifts biometrics from downstream execution to upstream decision-driving value
  • Real-world AI use cases in clinical development

Speakers:

Billy Amzal, Ph.D.
Head of Strategic Consulting, Phastar

Ping-Chung Chang
Head of Business Transformation and China General Manager, Phastar

Dilip Raghunathan
Business Solutions Partner, Regeneron Pharmaceuticals

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