Project Grant R35GM163830
- The National Institute of General Medical Sciences awarded The Leland Stanford Junior University $188,877 on August 1, 2026, under the Biomedical Research and Research Training program (CFDA 93.859) to develop an artificial intelligence framework for modeling physiologic and pharmacologic dynamics in anesthesia. The project addresses medication errors and adverse events in perioperative anesthesia through computational approaches to clinical decision support. Stanford will construct a global...
- The National Institute of Environmental Health Sciences awarded The Leland Stanford Junior University $1,393,955 on June 1, 2026, for a Project Grant (R01LM015260) to advance artificial intelligence systems for weakly supervised multimodal alignment and query-based interpretation in biological imaging under the Medical Library Assistance program (CFDA 93.879). The project develops AI systems that learn shared representations across biological image and text data, addressing a core challenge in...
- The National Institute of Environmental Health Sciences awarded The Leland Stanford Junior University $652,850 on June 15, 2026, under the Medical Library Assistance program (CFDA 93.879) to develop and implement systematic methods for evaluating large language models in clinical medicine. Stanford will conduct research on living validation and evaluation of foundation models and large language models for medical applications, with focus on three primary areas: developing shared benchmarks to...
- The Department of Health and Human Services National Institutes of Health Office of the Director awarded The Leland Stanford Junior University $731,500 on September 1, 2026, under the Trans-NIH Research Support program (CFDA 93.310) to develop physics-informed machine learning systems for medical image analysis. The project will build a generative simulation environment that models dynamic human anatomy and physiology to produce realistic synthetic imaging data such as radiographs and CT scans...
- The Department of Health and Human Services National Institutes of Health Office of the Director awarded The Leland Stanford Junior University $206,470 on August 15, 2026, under the Trans-NIH Research Support program (CFDA 93.310, Assistance Listing) to develop and deliver training on leveraging real-world data for behavioral and social sciences research. The award funds the creation of a comprehensive portfolio of real-world data training modules addressing topics in chronic disease research,...
- The National Institute of General Medical Sciences awarded The Leland Stanford Junior University $364,910 on September 1, 2026, under the Biomedical Research and Research Training program (CFDA 93.859) to engineer enzyme-responsive elastin-like polypeptides that direct biomolecular phase behavior for applications in regenerative tissue engineering, controlled drug delivery, and scalable therapeutic biomolecule production. The recipient will develop stimuli-responsive biopolymers triggered by...
- The National Institute of General Medical Sciences, part of the Department of Health and Human Services National Institutes of Health, awarded The Leland Stanford Junior University $421,456 on July 1, 2026, to discover and engineer biosynthetic pathways from plant natural products for therapeutic development under the Biomedical Research and Research Training program (CFDA 93.859). The award funds research to characterize complete biosynthetic pathways of clinically approved plant-derived...
- The National Institute of General Medical Sciences, part of the Department of Health and Human Services National Institutes of Health, awarded The Leland Stanford Junior University $1,733,072 on July 1, 2026, under the Biomedical Research and Research Training program (CFDA 93.859) to develop a multi-resolution open-top light-sheet expansion microscopy system. The project will advance 3D microscopy for high-throughput imaging of expanded tissues with ultra-high resolution—sub-150 nanometer...
- The National Institutes of Health National Human Genome Research Institute awarded The Leland Stanford Junior University $146,844 on September 1, 2026, under the Human Genome Research program (CFDA 93.172) to develop generative AI models for predicting cell fate transitions and perturbation dynamics using single-cell and spatial omics data. The recipient will build conditional diffusion-based generative AI architectures that incorporate molecular, spatial, and temporal information to learn...
- The National Institute of General Medical Sciences awarded $433,125 to the University of California, Los Angeles on August 10, 2026, under the Biomedical Research and Research Training program (CFDA 93.859, Assistance Listing). Andrew Holbrook, a biostatistician at UCLA, will develop AI-accelerated inference strategies and open-source software for Bayesian hierarchical models applied to high-impact biostatistical problems. The work addresses a computational bottleneck in biomedical research:...
The National Institute of General Medical Sciences, a component of the Department of Health and Human Services National Institutes of Health, awarded The Leland Stanford Junior University $2.117 million on September 1, 2026, under the Biomedical Research and Research Training program (CFDA 93.859). The award funds development of artificial intelligence and machine learning methods to integrate electronic health record data with high-dimensional omics data modalities—specifically proteomics and metabolomics. The research will build foundation models pretrained on large-scale EHR data and fine-tuned to support biological discovery and predictive modeling in small-sample settings. The project includes innovations in model interpretability through sparse autoencoders and knowledge graph integration, and will develop reinforcement learning frameworks to guide real-world applications. The research addresses a key bottleneck in clinical-biological discovery: as omics assay dimensionality increases, the sample size required to train effective models grows significantly, while omics data production remains resource-intensive and logistically difficult in clinical settings. Performance runs through August 31, 2030, at Palo Alto, California. The research builds on the recipient's prior work in algorithms for high-dimensional omics analysis, AI/ML modeling of structured and unstructured EHR data, and biological discovery across clinical domains including Alzheimer's disease, maternal and child health, cancer, and recovery from surgery, trauma, and stroke.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $2.1m | 8/24/26 |