Improving glaucoma diagnosis by personalizing retinal nerve fiber layer thickness norms
Official title: Personalizing Circumpapillary Retinal Nerve Fiber Layer Thickness Norms for Glaucoma
Funded at Schepens Eye Research Institute · NIH-10728042 · Data updated 2026-11-12
This study is working on improving how we diagnose glaucoma by using smart technology to create personalized measurements of the thickness of a part of your eye, which can help catch the disease earlier and more accurately for each person.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Schepens Eye Research Institute NIH-funded |
| Lab location | 1 site (Boston, United States) |
| Project start | September 30, 2023 |
| Project end | August 31, 2025 |
| Funding year | 2023 |
| Award (this year) | $556,962 |
| NIH project number | 1R21EY035298-01 |
| Project ID | NIH-10728042 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals at risk for glaucoma or those already diagnosed with the condition, particularly those with varying retinal anatomies.
✕Less likely to help
Patients with conditions unrelated to glaucoma or those who do not have measurable retinal nerve fiber layer thickness may not benefit from this research.
What this research studies
This research aims to enhance the accuracy of glaucoma diagnosis by personalizing the norms for circumpapillary retinal nerve fiber layer thickness (cpRNFLT) using advanced artificial intelligence techniques. The study will utilize data from healthy individuals to develop AI models that automatically adjust cpRNFLT norms based on individual retinal anatomy, which is typically not accounted for in standard assessments. By analyzing retinal imaging data, the research seeks to create more precise benchmarks for diagnosing glaucoma, potentially leading to earlier and more accurate detection of the disease.
Why it matters
Potential benefit: If successful, this research could lead to more accurate glaucoma diagnoses, allowing for earlier intervention and better management of the disease.
How similar studies have gone: Previous research has shown promise in using AI for medical imaging analysis, suggesting that this approach could yield significant advancements in glaucoma diagnosis.
Where this research is happening
-
Schepens Eye Research Institute
Boston, United States Active
Researchers
- Principal investigator: Wang, Mengyu — Schepens Eye Research Institute
- Study coordinator: Wang, Mengyu
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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.