Edge Medicine wins $10 million to build open AI healthcare infrastructure
Edge Medicine has received a $10 million, multiyear award from the Laude Institute to establish a center focused on extending healthcare into daily life. The project will combine open infrastructure, clinical care models and AI methods for managing chronic disease.
- $10 million, multiyear Laude Institute award will establish the Center for Edge Medicine.
- JupyterHealth will connect wearable and medical-record data for patients, researchers and care teams.
- UCSF will introduce an integrated Cardio-Kidney-Metabolic care model.
- The project includes clinical AI, reinforcement learning and an interdisciplinary innovation challenge.
A Moonshots award for frontline healthcare
Laude Institute selected Edge Medicine as one of four research labs funded through its Moonshots competition. The competition asked leading AI researchers how they would use AI to address humanity’s hardest problems, with support intended to help research teams move from ideas to real world impact faster.
Edge Medicine was one of eight seed awardees selected in April. Its latest award, described by the Berkeley Center for Data Science and Statistics as the Laude Moonshot for advancing frontline healthcare, will create the Center for Edge Medicine.
The project grew out of faculty conversations at UCSF and UC Berkeley Computational Precision Health, or CPH. The initiative brings together more than 90 faculty members from both universities, pairing Berkeley’s strengths in computer science, AI and statistics with UCSF’s clinical care, research and informatics.
Four components will connect data, care and AI
The Center for Edge Medicine will develop several connected elements. JupyterHealth will provide open infrastructure built on Project Jupyter, designed to securely bring together data from wearables and medical records for patients, researchers and care teams.
At UCSF, a new integrated Cardio-Kidney-Metabolic, or iCKM, care model will bring Edge Medicine to patients. The center also plans to develop clinical foundation models and reinforcement learning methods that learn from every patient and help choose care for each individual.
A separate Edge Medicine Innovation Challenge will invite interdisciplinary teams to propose ways to use JupyterHealth to improve care at the Edge. According to the source, JupyterHealth v0.1 is already running three operational pilots.
An open model for healthcare research
Edge Medicine’s leadership includes CPH co-directors Dr. Ida Sim and Dr. Maya Petersen, CPH faculty Ahmed Alaa and Irene Chen, and Fernando Pérez, an associate professor of statistics at UC Berkeley, co-founder of Project Jupyter and faculty director of the Berkeley Institute for Data Science. Their expertise covers clinical AI, causal inference and open scientific software.
David Patterson, founding board chair of Laude Institute and professor emeritus of electrical engineering and computer sciences at UC Berkeley, said the team is extending Project Jupyter’s shared infrastructure model into healthcare. “The open source approach is central to why this matters,” Patterson said, adding that making healthcare data integration less bespoke could have enormous value.
For patients and care teams, the project’s stated aim is to connect information from everyday devices and medical records with clinical care. For researchers and other teams, its open infrastructure is intended to provide a foundation they can adopt and extend.
