This federal Project Grant award from the National Eye Institute (CFDA 93.867 - Vision Research) aims to develop an "Attentive Knowledge Device for Visual Assistance" that leverages artificial intelligence (AI) and computer vision technologies to better assist persons with visual impairment. The $602,198 award, effective July 1, 2025 through June 30, 2027, will fund the University of Southern California to: 1) engage partners to select optimal machine vision algorithms for real-time...
This Project Grant award from the National Eye Institute (NEI) under the Vision Research program (CFDA 93.867) is supporting the development of equitable deep learning models for automated glaucoma screening. The $754,779 award, with a performance period from Sep 30, 2024 to Jul 31, 2029, aims to assess the performance equity of existing deep learning models, develop identity-conditioned generative models to improve data equality, and create fair identity normalization techniques to equalize...
This Project Grant awarded by the National Institutes of Health (NIH) under the Medical Library Assistance (CFDA 93.879) program provides $525,841.42 to Yale University to develop and evaluate multi-modality artificial intelligence (AI)-assisted diagnosis models for ophthalmic diseases. The goal is to leverage natural language processing and medical imaging analysis to create scalable, accurate, and generalizable AI-based diagnosis tools that can utilize data from electronic health records,...
This Project Grant award from the National Eye Institute (NEI), under the federal Vision Research program (CFDA 93.867), provides $247,387 to Stanford University to establish a comprehensive strategy for recruiting, training, and retaining clinician-scientists in ophthalmology research. The overarching objectives are to educate and develop the next generation of clinician-scientists focused on vision-related diseases and disorders, and to enhance research capabilities within ophthalmology...
This $433,841 federal Project Grant award from the National Eye Institute (NEI) under the Vision Research program (CFDA 93.867) supports the development of computational methods and deep learning models to analyze imaging data and identify biomarkers for age-related macular degeneration (AMD). The goal is to improve understanding of AMD disease progression and response to treatment. Specifically, the project will develop deep neural network models to analyze optical coherence tomography,...
This federal Project Grant award of $715,098 from the National Eye Institute (NEI) under the Vision Research program (CFDA 93.867) aims to enhance glaucoma risk prediction through advanced genomics and machine learning. The key products and services to be delivered include: Improving polygenic risk score (PRS) performance for glaucoma by leveraging natural language processing techniques and electronic health record data from over 68,000 patients to extract refined glaucoma phenotypes. The...
This Project Grant award of $482,312.00 was provided by the National Eye Institute, under the federal Vision Research grant program (CFDA 93.867), to Trustees of Boston University. The project, titled "Testing a Dynamic Spatiotemporal Normalization Framework for Human Vision", will investigate how visual perception depends on both instantaneous input and temporal context, with a focus on understanding the role of normalization and temporal attention. The research will involve...
The National Eye Institute (NEI), part of the National Institutes of Health, awarded a $252,573 Project Grant (CFDA 93.867 - Vision Research) to the Regents of the University of California, San Francisco (UCSF) for the "UCSF Program in Resident Opportunities for Mentored Ophthalmic Training in Experimentation (PROMOTE)" project. The program aims to recruit, train, mentor, and launch diverse resident-investigators with both clinical expertise and scientific, methodological, and...
This Project Grant award from the National Eye Institute (NEI), under the federal Vision Research program (CFDA 93.867), provides $688,882 in funding to the University of Chicago to conduct research on the neuronal computations that underlie rapid and flexible visual categorical decisions. The research aims to understand how coordinated neuronal activity across brain regions supports decision-making related to visual stimuli, which is critical for addressing conditions like Alzheimer's...
This Project Grant award from the National Eye Institute (CFDA 93.867 - Vision Research) supports research to understand the neural mechanisms that underlie flexible visual-oculomotor decision-making in the brain. The $1,969,806 award, spanning September 2024 to March 2029, will fund the investigation of where and how visual decision rules are implemented in the brain. The research aims to characterize flexible decision rule use, identify correlative relationships between neural activity and...