Project Grant R21EY035296
- 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...
- 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...
- This federal Project Grant award of $764,881 from the National Eye Institute (CFDA 93.867 - Vision Research) supports research to investigate the role of advanced glycation end products (AGEs) in primary open-angle glaucoma (POAG). The overarching hypothesis is that the accumulation of AGEs in the trabecular meshwork promotes extracellular matrix remodeling and cell dysfunction, leading to increased outflow resistance and elevated intraocular pressure in POAG. The research project has two...
- The National Eye Institute (NEI) awarded a $421,136 Project Grant to the University of Maryland, College Park under the Vision Research federal grant program (CFDA 93.867) to explore a novel approach for correcting ocular opacities and enabling high-resolution fundus imaging. The 2-year project aims to demonstrate that neural-network based wavefront shaping can optically correct for ocular opacities, which degrade the performance of optical imaging techniques for the posterior segment of the...
- This $735,937 Project Grant, awarded by the National Eye Institute (CFDA 93.867 - Vision Research), aims to test the effectiveness of a technology-based approach to screening for glaucoma and other eye diseases at Federally Qualified Health Centers (FQHCs). The University of Michigan, as the primary awardee, will utilize digital ophthalmic data captured by FQHC technicians to help eye doctors at the FQHCs triage patients to appropriate care, including 30-minute detailed visits or 10-minute...
- This $387,428 Project Grant from the National Eye Institute (CFDA 93.867 - Vision Research) aims to investigate fundamental mechanisms driving optic nerve sensitivity to elevated intraocular pressure, a major risk factor for optic nerve damage in glaucoma. The project will use 3D bioengineering tools, transgenic animal models, and ex vivo donor optic nerve head tissue to test the hypothesis that transient biomechanical strains prime optic nerve head astrocytes to develop greater glaucomatous...
- 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...
- This $244,379 Project Grant award from the National Eye Institute's Vision Research program (CFDA 93.867) supports research at the University of California, Los Angeles (UCLA) to explore how genetic variation influences disease progression and treatment response in age-related macular degeneration (AMD), a leading cause of vision loss. The project aims to leverage machine learning (ML) and artificial intelligence (AI) techniques to analyze optical coherence tomography (OCT) imaging data and...
- This Project Grant award from the National Eye Institute's Vision Research program (CFDA 93.867) provides $179,964 to the University of California, Irvine (UCI) to develop innovative biomarkers for optic neuropathies using deep learning-based analysis of optical coherence tomography (OCT) imagery. The project aims to overcome limitations of current OCT-based diagnostics by employing advanced computational techniques like deep learning, neural fields, and geometric modeling to enhance the...
- This federal Project Grant award from the National Eye Institute (CFDA 93.867 - Vision Research) is providing $414,711 to the Albert Einstein College of Medicine in Bronx, NY to establish and utilize a microphysiological system for elucidating the mechanisms underlying early optic disc and stalk development, retinal ganglion cell (RGC) differentiation, axon growth, and pathfinding in human development and the pathogenesis of blinding retinal diseases. The research aims to gain a deeper...
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 expected outcomes include a framework to mitigate inequities in POAG risk estimation, reduce bias in clinical decisions, and develop robust models that perform well across diverse populations. The project will be conducted from September 2023 through August 2025 at Weill Medical College's facilities in New York.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $466.1k | 9/1/23 |