Description
For more information about Stanford’s graduate programs, visit:
https://stanford.io/grad-ed-precision-med
This lecture is from Stanford EE292R AI and Data for Science, and it covers multimodal modeling for precision medicine, specifically focusing on using foundation models for cross-modal data imputation and synthetic data generation, and explores applications in spatial omics, digital pathology, and radiology that support in-silico study of disease mechanisms.
Follow the course schedule: https://aida4sci.stanford.edu/schedule.html#fall-2026
Speaker:
Olivier Gevaert is an Associate Professor of Medicine and Biomedical Data Science at Stanford.
#MultimodalAI #PrecisionMedicine #FoundationModels #AIforScience
