Edge Medicine awarded $10 million to bring AI to frontline healthcare
A $10 million award will fund the Center for Edge Medicine to develop open AI infrastructure and care models for managing chronic disease in daily life, uniting UC Berkeley and UCSF researchers.
Edge Medicine, selected by the Laude Institute, received a $10 million multiyear award to establish the Center for Edge Medicine. The initiative aims to create open infrastructure, care models, and AI methods to extend healthcare into daily life where chronic disease is managed. The project emerged from collaborations between faculty at UCSF and UC Berkeley’s Computational Precision Health program, which integrates clinical care with computational expertise.
The leadership team includes Dr. Ida Sim, Dr. Maya Petersen, Ahmed Alaa, Irene Chen, and Fernando Pérez, alongside over 90 faculty from UC Berkeley and UCSF. Their work focuses on clinical AI, causal inference, and open scientific software to support the center’s goals. The Laude Institute’s Moonshots competition selected Edge Medicine as one of eight seed awardees in April before advancing it to a full award.
The Center for Edge Medicine seeks to bridge computer science and clinical care by developing open source infrastructure for healthcare data integration. This approach aims to make healthcare data less bespoke and more accessible for broader adoption and extension. JupyterHealth v0.1 is already operational in three pilots, demonstrating early progress.
David Patterson, Laude Institute founding board chair, highlighted the significance of the open source model, comparing it to Project Jupyter’s impact on modern science. The initiative represents a high-reward bet on infrastructure needed to transform frontline healthcare delivery through AI and open collaboration.