Unlocking AI in Oncology
Hosted by: Translational Research and Applied Medicine (TRAM), Stanford Medicine.
Background: While there have been many use cases for AI in drug discovery, there has been limited exploration of the fast growing clinical applications of AI in Oncology treatment and diagnostics. Our panel will consider this subject in detail and shall include researchers from Stanford Medicine and industry leaders in Oncology & AI.
Meet the Panelists:
James Zou, PhD- Associate Professor of Biomedical Data Science and, by courtesy, of Computer Science and of Electrical Engineering. "Agentic AI in Biology"
Janice Lu, MD, PhD- Clinical Professor (Oncology) and Director of AI (TRAM), Stanford Medicine. "AI meets Oncology, from Hype to Impact"
Dean Felsher, MD, PhD- Professor of Medicine-Oncology and (Pathology), and Director of Stanford TRAM Center, Stanford Medicine. “AI & Oncology Addiction.”
Adrian Mendes- CEO of Perimeter Medical and ex-COO of Groq. “How AI helps surgeons make real-time decisions in the OR.”
Michael McLaughlin, JD- CEO of VeridatAI, ex-Sr. Advisor, U.S. Cyber Command and the National Security Agency. “How universities, research institutions, and pharma partners can bring verified, high-integrity data into the AI development pipeline.”
Academic workshop: Starting early at 4pm, Ronjon Nag, PhD, CEO of SuperBio.ai & Stanford Professor presents “Getting started with SuperBio: Use cases for research & clinical Oncology.” Laptop highly recommended, deploying the academic version of SuperBio. Please contact us for registration.