Center for Edge Medicine Awarded Laude Moonshots Seed Grant to Build Open AI Infrastructure for Frontline Healthcare

April 15, 2026

Dr. Ida Sim and researchers from UCSF & UC Berkeley Computational Precision Health (CPH) and UC Berkeley Institute for Data Science (BIDS) have been awarded a Laude Moonshots seed grant in support of Edge Medicine, an initiative to bring intelligent, always-on AI tools to the frontier of healthcare: patients’ everyday lives. 

Edge Medicine is one of eight projects selected internationally for the Laude Moonshots program, a competitive initiative funding computer science researchers tackling critical AI challenges with broad societal impact. The project was selected under the program’s Frontline Healthcare domain, which focuses on AI applications to support diagnosis, treatment, and patient care. The Laude Moonshots program reflects a new model for research funding, providing no-strings-attached grants and support designed to help ambitious research teams move their work from idea to real world impact faster. 

“Project Jupyter was built into the shared infrastructure of modern science, and now this team is extending that model into healthcare. The open-source approach is central to why this matters: if they can make healthcare data integration less bespoke, the value is enormous. JupyterHealth v0.1 is already running three operational pilots. This is an ambitious, high-reward bet on precisely the infrastructure the field needs.“

– Dave Patterson, Founding Board Chair of Laude Institute, Chair of Moonshots Evaluation Committee

What is Edge Medicine?

Most current health AI tools are designed around the clinic or hospital. Edge Medicine takes health AI beyond traditional healthcare systems directly to patients: delivering intelligent support continuously, in daily life, and connecting with healthcare systems seamlessly when it matters most. 

“Chronic diseases affect 75% of Americans and account for 90% of U.S. healthcare spending. By definition, chronic disease is 24/7–yet today’s health AI is not. Edge Medicine aims to change that by shifting care upstream to where health outcomes are actually determined: in patients’ daily lives.”

– Ida Sim, MD, PhD, Lead PI

The initiative builds on JupyterHealth, an open-source platform rooted in the Project Jupyter ecosystem, to create interoperable, community-driven infrastructure for health AI where researchers, clinicians, patients, and developers can collaborate and build together.

Researchers

	Ida Sim, MD, PhD – Lead PI Professor of Medicine (UCSF) and Computational Precision Health (UCSF & UC Berkeley) Co-Director of UCSF & UC Berkeley Computational Precision Health Co-Founder of JupyterHealth
	Maya Petersen, MD, PhD Professor of Biostatistics and Epidemiology (UC Berkeley) and Computational Precision Health (UCSF & UC Berkeley) Co-Director of UCSF & UC Berkeley Computational Precision Health Co-Director of UC Berkeley’s Center for Targeted Machine Learning and Causal Inference
	Ahmed Alaa, PhD Assistant Professor of Computational Precision Health (UCSF & UC Berkeley)
	Irene Chen, PhD Assistant Professor of Computational Precision Health (UCSF & UC Berkeley)
	Fernando Pérez, PhD Associate Professor, Statistics, UC Berkeley Co-director, Eric and Wendy Schmidt Center for Data Science & Environment BIDS Faculty Director Co-Founder of Project Jupyter and JupyterHealth

Get involved

Join us! We’re growing our community of researchers, clinicians and technologists who share the vision of open, equitable AI infrastructure for health. Join our newsletter below! Follow our journey on LinkedIn! Have questions? Reach out to us at edgemed@ucsf.edu.