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Realizing Value Through Responsible AI in Clinical Development
Tuesday June 17, 2025 8:30am - 9:30am EDT
TBD
Component Type: Session
Level: Intermediate

Leveraging expertise from industry, this session will explore how responsible AI frameworks can maximize value in clinical research by ensuring ethical, transparent, and accountable AI use.

Learning Objectives

Recognize a set of responsible principles for AI in drug development; Demonstrate the ability to drive innovation and strategic advantage in AI-driven clinical trials; Propose how organizations can lead with integrity and trust in their AI applications.

Chair

Stephen Pyke, MSc

Speaker

Patient perspectives on AI in clinical development
Alicia Staley, MBA, MS

Industry perspectives on AI in clinical development
Raja Shankar, MS


Speakers
avatar for Stephen Pyke

Stephen Pyke

Chief Clinical Data and Digital Officer, Parexel, United Kingdom
Stephen is responsible for leading and directing Parexel’s enterprise patient data strategy. He is also leading the development of Parexel's AI strategy. Stephen trained as a statistician, and began his career in academia (London), where he held various research and teaching positions... Read More →
avatar for Raja Shankar

Raja Shankar

Vice President, Machine Learning, IQVIA, United Kingdom
As the Vice President of Machine Learning in IQVIA’s Research and Development Solutions, Raja leads the development, selling and delivery of AI-led life sciences innovation through pilots, platforms, products and services. His current focus is on AI to augment life science R&D across... Read More →
avatar for Alicia Staley

Alicia Staley

Chief Patient Officer, Medidata, a Dassault Systèmes Company, United States
Alicia has over 20 years of experience in software design and information systems management. She has a Mechanical Engineering Degree from Syracuse University and from Boston University with a Masters of Information Systems and an MBA. At Medidata, Alicia works to infuse the patient... Read More →
Tuesday June 17, 2025 8:30am - 9:30am EDT
TBD Walter E. Washington Convention Center 801 Allen Y. Lew Place, NW Washington, DC 20001-3614 USA
  03: Data-Tech, Session

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