Upcoming Events
Robotics, Agents, and World (RAW) Models to Target Cancer
February 18, 2026 | 11:00 a.m. – 12:00 p.m., ET
Discover how artificial intelligence (AI), robotics, and predictive models could transform cancer drug development. Dr. Arvind Ramanathan will present an approach that uses automated systems to generate and test hypotheses to design new cancer therapies.
Multi-modal Modeling in Precision Medicine: From Data Imputation to Synthetic Data
March 18, 2026 | 11:00 a.m. – 12:00 p.m., ET
Olivier Gevaert, Ph.D., Stanford University
Learn about “cross-modal data modeling”—a methodology that uses foundation models (i.e., large, pre-trained, artificial intelligence models) to ascribe missing biomedical research data and generate realistic synthetic samples.
Past Recordings
- Theranostics Digital Twins: A Path to Personalized Medicine | January 14, 2026
Explore the intersection of digital twins and theranostics and how these two critical data science concepts work in practice in liver, prostate, and metastic cancer. - Developing Safe AI Models for Clinical and Multi-institutional Research Studies | September 3, 2025
Explore approaches and use cases for developing safe AI in clinical and multi-institutional research studies.