Project Grant 2540451
- This federal Project Grant awarded by the National Science Foundation (NSF) Engineering program (CFDA 47.041) aims to create innovative tools to understand neurodegeneration in glaucoma blindness. The $600,000 award, with a project period from Jul 1, 2025 to Jun 30, 2030, supports the development of an integrated platform that combines bioengineering tools and neurobiological studies. Key components include: (1) an injectable microbead-based in vivo flow occlusion model to replicate...
- This $617,201 Project Grant awarded by the National Eye Institute's Vision Research program aims to leverage innovative tools from engineering, AI, and advanced optical coherence tomography (OCT) imaging to directly observe and unveil the specific mechanical insults to retinal ganglion cell axons that contribute to vision loss progression in glaucoma patients. The research team from Emory University intends to monitor glaucoma patients longitudinally to identify where these axonal insults,...
- This Project Grant award from the National Science Foundation's (NSF) Integrative Activities program (CFDA 47.083) provides $285,122 to the University of Louisiana at Lafayette (UL Lafayette) to conduct basic research in artificial intelligence (AI) for cost-effective image analysis. The two-year project, running from February 2026 to January 2028, will support a faculty fellowship and graduate student training to develop novel AI frameworks that can adapt hospital-grade medical images to...
- This federal Project Grant award from the National Eye Institute (CFDA 93.867 - Vision Research) provides $654,455 to The Leland Stanford Junior University to develop fair and generalizable artificial intelligence (AI) algorithms for predicting glaucoma progression. The goal is to address racial/ethnic disparities in the performance of these AI models, which disproportionately impact minority populations. The research involves comparing fairness-aware algorithm training methods, evaluating model...
- The National Eye Institute (NEI) has awarded a $466,125 Federal Project Grant (CFDA 93.867 - Vision Research) to Weill Medical College of Cornell University to develop and validate a new artificial intelligence approach to improve the fairness of predictive models for primary open-angle glaucoma (POAG) risk estimation. The project aims to study algorithmic bias in POAG risk prediction and examine the impact of transferring bias from a biased model to a demographically balanced dataset. The...
- This Project Grant from the National Science Foundation's Technology, Innovation, and Partnerships program totaling $100,000 aims to develop a computational solution to evaluate optic nerve function. Specifically, the University of Nevada, Reno will use the funding to potentially create an affordable, convenient head-mounted display capable of remotely and routinely assessing the health of the optic nerve through afferent pupillary defect tests. This screening tool may allow doctors, including...
- This $231,000 Project Grant award from the National Eye Institute (NEI), under the federal Vision Research program (CFDA 93.867), will fund the development of a generalized deep learning platform to improve the objectivity, reproducibility, and accuracy of quantifying and assessing experimental autoimmune uveitis (EAU) - a valuable animal disease model for studying human uveitis. The project aims to generate high-quality, well-annotated multi-modal datasets from three independent research...
- The National Eye Institute (NEI) awarded a $451,000 Project Grant under the Vision Research federal grant program (CFDA 93.867) to The Regents of the University of California, San Francisco (UCSF) to conduct a multimodal characterization of a novel inherited mouse model of glaucoma. The research aims to evaluate structural and functional changes in the mouse model, including axonal degeneration, retinal ganglion cell loss, dendritic changes, and neuroinflammatory responses. It will also identify...
- This $976,308 National Science Foundation project grant funds the University of Miami to develop a novel fundus multiwavelength imaging device for simultaneous multiwavelength imaging of the retinal nerve fiber layer. The goal is to design, construct, and validate a non-contact optical method that can sensitively detect early glaucoma damage through in vivo measurement of retinal spectral reflectance changes. Specifically, the University of Miami will design and construct a new fundus imaging...
- This $417,162 Project Grant award from the National Eye Institute (CFDA 93.867 - Vision Research) supports research on using optical techniques to detect early signs of glaucoma, the leading cause of irreversible blindness worldwide. The University of Houston System, the grantee, will conduct research to determine if changes in the birefringence (optical properties) of the lamina cribrosa and posterior eye structures can serve as sensitive early indicators of glaucoma before structural damage...
This $174,520 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports the development of an advanced AI model to identify glaucoma-susceptible retinal ganglion cell subtypes using large-scale single-cell sequencing data. The research at Appalachian State University aims to uncover hidden patterns in genetic datasets to better understand which retinal cell types are most vulnerable to glaucoma, a leading cause of blindness. The AI model will incorporate gene embedding, positional encoding, and self-attention mechanisms to enhance subtype resolution, particularly for rare or transitional cell populations. This work could lead to earlier glaucoma detection and new approaches for repairing damaged cells, while also providing students hands-on experience with health data analytics. The project duration is from September 15, 2025 to August 31, 2027.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $174.5k | 7/30/25 |