Registration Now Live - March 17th 2025 UCSF Research AI Day

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Overview

Transforming biomedical science and healthcare through artificial intelligence

Join us on March 17, 2025

Register

We are on the cusp of transformative breakthroughs in health and medicine—powered by Artificial Intelligence. On March 17, 2025, join us at the Mission Bay Conference Center for an inspiring full-day event that will showcase the groundbreaking intersection of AI, biomedical science, and healthcare at UCSF.

This dynamic day will explore how cutting-edge AI, data science, and computational techniques are accelerating discoveries, revolutionizing clinical care, and shaping the future of population health. You’ll hear from leading experts, engage with innovative research, and explore the tools and resources at UCSF and beyond that are driving this exciting frontier.

Whether you're a researcher, clinician, or data scientist, this is an opportunity to connect with like-minded pioneers, be inspired by the latest advancements, and contribute to the growing community of AI innovators in healthcare at UCSF. All faculty, staff, and trainees are encouraged to join us!

Register today!

Call for Posters: Showcase Your Research

We invite the UCSF and UCB research community to share innovative research that demonstrates the transformative potential of AI in the biomedical and health sciences. We are especially excited to hear from early-career researchers, students, and trainees who are pushing the boundaries of what AI can achieve in this space.

The Poster Session will take place in the afternoon, where we’ll celebrate your work and the future of AI in health. This is your chance to highlight your contribution to this game-changing field and connect with fellow researchers across disciplines.

We encourage you to print posters that are no wider than 48" (e.g. If horizontal/landscape configuration, we recommend 48" wide x 36" long).

Submit Your Poster Abstract

Please include the following:

  • Title of Poster
  • 1-2 Paragraph Abstract
  • List of Authors and Affiliations
  • Keywords
  • Track (choose one):
    • AI in Discovery Science
    • AI in Health Systems
    • AI in Social Determinants of Health & Population Health

 

Detailed Agenda

9 a.m.-10:10 am Opening Session

Welcome by Chancellor Sam Hawgood, overview of the day, highlights from the opportunities at UCSF to transform biomedical sciences and healthcare through artificial intelligence equitably and ethically.

10:30 a.m. - 12:30 p.m. Break Out Tracks (3 concurrent tracks on current efforts at UCSF)

  • Discovery Sciences
  • Health Systems
  • Population Health

12:30 p.m. - 1:30 p.m. Lunch

1:30 p.m. - 2:20 p.m. Keynote by Marylyn D. Ritchie, PhD, FACMI

2:30-3:00 Round Table Talks 

3:10 p.m. - 4:10 p.m. Overview of Resources

  • Data and Compute 
  • Methods and Models

4:10 p.m. - 5:00 p.m. Poster Sessions and Happy Hour

Register today!

Keynote Speaker - Marylyn D. Ritchie, PhD, FACMI

Marylyn D. Ritchie, PhD, FACMI,

Dr. Marylyn D. Ritchie is the inaugural Vice Dean of Artificial Intelligence and Computing for the Perelman School of Medicine, a Professor of Genetics, and Director of the Institute for Biomedical Informatics at the University of Pennsylvania School of Medicine. She is also Co-Director of the Penn Medicine BioBank and Vice President of Research Informatics at the University of Pennsylvania Health System. Dr. Ritchie is an expert in translational bioinformatics, with a focus on developing, applying, and disseminating algorithms, methods, and tools integrating electronic health records (EHR) with genomics. 
 
Dr. Ritchie is a Fellow of the American College of Medical Informatics and a member of the National Academy of Medicine. She has been recognized for paradigm-changing research demonstrating the utility of electronic health records for identifying clinical diseases or phenotypes that can be integrated with genomic data from biobanks for genomic medicine discovery and implementation science. Her lab develops and applies a breadth of translational bioinformatics approaches exploring the genome, the phenome, and the exposome to improve our understanding of the underlying architecture of common, complex diseases and advance toward the implementation of precision medicine.