Project Grant R01EY036203

Award Date 9/1/24
Completion Date 8/31/28
Dollars Obligated $580K
Federal Grant Program
93.867
Assistance Type
Project Grant
Place of Performance
New Jersey, USA
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This Project Grant award of $580,331 from the National Eye Institute (CFDA 93.867 - Vision Research) aims to develop a deep learning-based diagnostic tool for retinopathy of prematurity (ROP), a leading cause of childhood blindness. The key products and services to be delivered under this award include:

  1. Optimizing and testing an animal-to-human (A2H) model to augment the training dataset for the deep learning-based ROP diagnostic model, using existing and newly acquired longitudinal animal ROP images.

  2. Developing and testing a Cross-platform Retinal Image Standardization Process (CRISP) model to resolve differences in image quality across different imaging acquisition systems, in order to improve the performance of the ROP diagnostic model.

  3. Validating the A2H model's ability to diagnose ROP and evaluating the combined impact of A2H and CRISP as a universal approach to enhance the deep learning model's performance.

The awardee, The Trustees of the Stevens Institute of Technology, is a private research university with a strong track record of federal research contracts and grants in advanced technologies. This 4-year project aims to address the critical unmet need for timely and consistent ROP diagnosis, with the potential to improve clinical outcomes for premature infants.

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