From Data to Knowledge: Integrating Clinical and Molecular Data with AI for Predictive Medicine

Marina Sirota, PhD
Professor, Pediatrics
University of California, San Francisco

Learning Objectives

• Leveraging molecular data and computational approaches for drug discovery for Alzheimer's disease (AD).
• Leveraging real-world data for diagnostic and therapeutic strategies for AD.

Disclosures

• Planners: Bruce L. Miller, MD; Howard J. Rosen, MD; Anil Vora; and Laura Wise have stated they have no relationships to disclose.
• Speaker: Marina Sirota, PhD, has disclosed the following relationships: She serves on the Advisory Board for Wellcome Leap.

Accreditation: The University of California, San Francisco (UCSF) School of Medicine is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.

Designation: UCSF designates this live activity for a maximum of 22 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity. Credit is inclusive of all Edward and Pearl Fein Memory and Aging Center Grand Rounds sessions offered from January 1, 2026, through December 31, 2026. (1 credit per each 1-hour grand rounds session throughout the year).

Virtual attendees must register for this event. Grand Rounds presentations are for educational purposes and intended for a professional audience with a terminal degree. This activity is not commercially supported.