Upcoming Events
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.