# NIH Reporter #1R35GM163830-01

Cross-Domain Foundation Models for Integration of Electronic Health Records and Biological Data

**Recipient:** Stanford University

**Award Amount:** $2,117,500.00
**Ceiling:** $2,117,500.00

**Awarded:** August 24, 2026

**Identifier:** 1R35GM163830-01

The project will create machine learning tools to combine clinical records and biological data, supporting biological discovery and prediction while reducing reliance on costly assays.

### Description

Develops AI and machine learning methods to integrate electronic health record data with biological data, including methods for foundation models, generative models, interpretability, and biologically informed sample selection.

[View original record](https://reporter.nih.gov/search/O7rUSzRdDUaj-f_y7VGw-A/project-details/11331717)