Project Grant 2442112

Award Date 7/1/25
Completion Date 6/30/30
Dollars Obligated $600K
Federal Grant Program
47.041
Assistance Type
Project Grant
Place of Performance
Binghamton, NY 13902, USA
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This federal Project Grant award from the National Eye Institute (NEI), under the Vision Research program (CFDA 93.867), aims to develop an accurate, safe, and wearable intraocular pressure (IOP) monitoring device for the clinical management of glaucoma. The key goals are to: 1) Develop a prototype contact lens-based IOP sensor using atomic force microscopy; 2) Establish an empirical model relating indentation measurements to IOP; and 3) Assess the impact of sensor indentation on the human...
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 $715,098 federal Project Grant award 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 approaches. The key products and services to be delivered include: Improving polygenic risk score (PRS) performance for glaucoma by leveraging natural language processing techniques to extract refined glaucoma phenotypes from electronic health record data across over 1 million...
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This $600,000 federal Project Grant awarded by the National Science Foundation's (NSF) Engineering program (CFDA 47.041) aims to create an integrated platform to study neurodegeneration in glaucoma, a leading cause of blindness. The key products and services to be delivered include:

  1. Developing an injectable microbead-based in vivo flow occlusion model to replicate glaucoma-like conditions and achieve sustained intraocular pressure elevation.

  2. Advancing a non-invasive electroretinogram (ERG) recording system to monitor retinal neural activity longitudinally.

  3. Applying artificial intelligence (AI)-assisted algorithms to analyze electrophysiological data and identify early-stage glaucoma biomarkers.

This integrated approach seeks to provide insights into the cellular and molecular mechanisms of glaucoma, enable earlier disease detection, and identify potential therapeutic targets to improve outcomes for glaucoma patients. The project is being carried out by The Research Foundation For The State University Of New York (RF SUNY) and is set to run from July 2025 through June 2030.

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