Presentation Type: Industry Partner Sessions

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Presentation Time: 03:30 PM - 04:45 PM

Abstract Keywords: Artificial Intelligence, Workforce Development

“In God we Trust” is printed on every U.S. dollar, symbolizing faith as the foundation of currency. In contrast, trust in Generative AI (GenAI) for life sciences cannot rest on faith alone, it must be earned through evidence. This session explores how evidence becomes the true currency of adoption. Panelists will examine: (1) trust and evaluation across the GenAI lifecycle; (2) real-world use cases in life sciences, from drug discovery to social listening, highlighting both successes and failures; (3) barriers to adoption including clinical training, certification, and workflow readiness; and (4) frameworks for responsible application across clinical decision support, consumer use and reporting. By bridging evidence, governance, and adoption strategies, this panel charts a pragmatic roadmap for advancing trustworthy GenAI in life sciences — ensuring innovation is guided by transparency, accountability, and scientific rigor, not blind faith.

Speakers:
Kimberly Nolen, BS, PharmD, ACHIP
Pfizer Pharmaceuticals

Xiaoyan Wang, PhD in Biomedical Informatics
IMO Health

Steven Labkoff, MD, FACP, FACMI, FAMIA
The Division of Clinical Informatics, Beth Israel Deaconess Medical Center

Michael Cantor, MD, MA
Regeneron Pharmaceuticals Global Development

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