Award
NIH Reporter #1R35GM163830-01
Cross-Domain Foundation Models for Integration of Electronic Health Records and Biological Data
Recipient
Stanford University, CA, United States
Award Amount
$2,117,500.00
Ceiling
$2,117,500.00
Awarded
August 24, 2026
Identifier
1R35GM163830-01
Development of AI/ML methods to integrate biological data with electronic health records for improved disease mechanism discovery, risk prediction, and precision medicine.
Description
The project develops machine learning algorithms that integrate high-dimensional biological data with clinical context derived from electronic health records, enabling more efficient, interpretable, and scalable biological modeling. These tools will enhance the ability to discover disease mechanisms, improve risk prediction, and accelerate the design of targeted diagnostics and interventions.