Using advanced computing to improve vision research
Official title: Computational Ophthalmology and Biomedical Informatics
Funded at University of California, San Diego · NIH-11092246 · Data updated 2026-11-12
This study is all about helping researchers at UCSD use powerful computers and special programs to better understand eye diseases by analyzing large amounts of detailed images and genetic information, so they can find new ways to improve vision care for everyone.
Quick facts
| Grant type | P30 center grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California, San Diego NIH-funded |
| Lab location | 1 site (La Jolla, United States) |
| Project start | September 1, 2023 |
| Project end | April 30, 2028 |
| Funding year | 2025 |
| Award (this year) | $137,458 |
| NIH project number | 5P30EY022589-13 |
| Project ID | NIH-11092246 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals experiencing age-related macular degeneration or other vision impairments who are seeking innovative treatment options.
✕Less likely to help
Patients with non-age-related vision issues or those not involved in clinical research may not benefit from this research.
What this research studies
This research focuses on enhancing vision studies by providing high-performance computing resources and custom programming to researchers at UCSD. It aims to analyze large datasets generated from high-resolution retinal imaging and genomics research, which are becoming increasingly important in understanding vision-related conditions. The project utilizes advanced technologies such as artificial intelligence and machine learning to support both basic and clinical vision research. By facilitating data analysis, this initiative aims to improve the understanding and treatment of various eye diseases.
Why it matters
Potential benefit: If successful, this research could lead to significant advancements in the diagnosis and treatment of age-related macular degeneration and other vision disorders.
How similar studies have gone: Other research utilizing advanced computational methods in ophthalmology has shown promising results, indicating that this approach is both relevant and potentially impactful.
Where this research is happening
-
University of California, San Diego
La Jolla, United States Active
Researchers
- Principal investigator: Zangwill, Linda M — University of California, San Diego
- Study coordinator: Zangwill, Linda M
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.