Project Grant R21EY038977
- The National Eye Institute awarded the Regents of the University of Minnesota $764,310 on July 1, 2026, under the Vision Research program (CFDA 93.867) to develop robust multimodal artificial intelligence models for primary open-angle glaucoma prognosis. The recipient will develop deep learning models that integrate longitudinal data from fundus images, optical coherence tomography, visual fields, and structured clinical variables to estimate individual likelihood of developing primary...
- The National Eye Institute, part of the Department of Health and Human Services National Institutes of Health, awarded $733,137 to the University of California, Los Angeles on September 15, 2025, under the Vision Research program (CFDA 93.867) to explore how genetic variation influences disease progression and therapeutic response in age-related macular degeneration. The project integrates advanced optical coherence tomography imaging with machine learning and artificial intelligence to classify...
- The National Institute of Biomedical Imaging and Bioengineering awarded the Regents of the University of Minnesota $1,364,828 on April 1, 2026, under the Discovery and Applied Research for Technological Innovations to Improve Human Health program (CFDA 93.286) to conduct research on safe, effective, and trustworthy artificial intelligence deployment across U.S. healthcare delivery organizations. The project uses mixed methods to identify barriers to and mitigation strategies for AI capability...
- The National Eye Institute awarded The Schepens Eye Research Institute $858,394 on August 1, 2026, under the Vision Research program (CFDA 93.867) to develop multimodal foundation models for eye disease screening and prognosis. The research develops a vision-language foundation model trained on pairs of retinal images and clinical notes to enable downstream supervised models for detection and progression prediction of age-related macular degeneration, diabetic retinopathy, and glaucoma. The...
- The National Eye Institute awarded The Johns Hopkins University $776,269 on August 1, 2026, under the Vision Research program (CFDA 93.867) to develop and externally validate critical elements of a clinical decision support system (CDSS) that optimizes treatment selection for glaucoma patients experiencing rapid visual field deterioration. The project addresses a treatment gap: randomized controlled trials demonstrate that non-medical interventions (surgery or laser trabeculoplasty) produce less...
- The National Institutes of Health National Eye Institute awarded the University of North Carolina at Charlotte $617,244 on May 1, 2026, under the Vision Research program (CFDA 93.867) to develop distributed federated learning approaches for multi-task machine learning models applied to diabetic retinopathy diagnosis, prognosis, and treatment assessment. The project establishes federated learning frameworks that train machine learning models across multiple institutions without centralizing...
- The National Eye Institute, part of the National Institutes of Health, awarded the University of New Mexico Health Sciences Center $350,000 on September 1, 2026, under the Biomedical Research and Research Training program (CFDA 93.859) to investigate neutrophil extracellular traps and chemokine signaling in blood-retinal barrier disruption in diabetic retinopathy. The funded research targets mechanisms underlying diabetic retinopathy, the leading cause of vision loss in middle-aged adults....
- The National Eye Institute, part of the Department of Health and Human Services, awarded Fasda Inc. $292,058 on September 1, 2026, under the Vision Research program (CFDA 93.867) to develop and validate Retinal Full-Field Amplitude Speckle Decorrelation Angiography (R-FASDA), an innovative imaging device for detecting neovascularization in diabetic retinopathy patients. R-FASDA addresses a gap in current screening capabilities by delivering high-resolution, noninvasive visualization of retinal...
- The National Institutes of Health Office of the Director awarded New York University School of Medicine $100,001 under the Vision Research program (CFDA 93.867) on August 1, 2026, to develop and evaluate BARBER-CLIP, a community-engaged, barbershop-based tele-screening model for diabetic retinopathy. The recipient will train community health workers to screen men for diabetic retinopathy in barbershops and refer positive cases to ophthalmologic care, building on a successful...
- The National Eye Institute awarded The Leland Stanford Junior University $3,573,304 under the Vision Research program (CFDA 93.867) on September 15, 2025, to apply the TEMPO proteomic platform using human liquid biopsy samples to identify protein biomarker signatures and cells driving diabetic retinopathy stages and diabetic macular edema in living patients, and to determine the role of accelerated molecular aging in diabetic retinopathy using a proteomic clock. The TEMPO method integrates...
The National Eye Institute, part of the Department of Health and Human Services National Institutes of Health, awarded $439,174 to the Regents of the University of Minnesota on September 1, 2026, under the Vision Research program (CFDA 93.867) to conduct the first study quantifying how autonomous artificial intelligence diagnostic systems expand access to diabetic retinopathy screening and treatment. The project will use 100% of Medicare claims data to identify adoption of FDA-approved autonomous AI diagnostic systems for diabetic retinopathy detection. Aim 1 will quantify adoption rates and compare characteristics of AI-adopting and non-adopting medical practices to understand whether adoption correlates with markers of clinical need, such as eye care professional shortages and low screening rates. Aim 2 will test for changes in diabetic retinopathy screening and diagnosis rates following AI adoption, hypothesizing that practices adopting autonomous AI systems will increase both the number and share of diabetic patients receiving screening, since these systems no longer constrain screening to physician availability. The analysis will exploit variation in the timing of AI adoption, leveraging Medicare's reimbursement for this clinical AI application beginning in 2021. Work is performed in Minneapolis, Minnesota. The period of performance runs from September 1, 2026, through August 31, 2028. The award is a Project Grant, a non-renewable assistance type under the Vision Research program.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $439.2k | 8/31/26 |