Improving early detection of glaucoma worsening with fewer tests
A Comprehensive Strategy to Detect Glaucoma Worsening Earlier and With Fewer Tests
This study is working on new ways to spot if glaucoma is getting worse, so patients can have fewer tests and get help sooner if they need it.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Johns Hopkins University NIH-funded |
| Lab location | 1 site (Baltimore, United States) |
| Project ID | NIH-11043427 on NIH RePORTER |
What this research studies
This research aims to enhance the detection of glaucoma progression by developing advanced methods that reduce the number of tests needed. It focuses on correcting errors in existing visual field and optical coherence tomography tests using innovative statistical models and machine learning techniques. By analyzing data from these tests, the research seeks to identify patients at high risk for rapid glaucoma worsening more accurately. This approach could lead to earlier interventions and better management of glaucoma for patients.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals diagnosed with glaucoma or those at risk of developing the condition.
Not a fit: Patients with advanced glaucoma who are already experiencing significant vision loss may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to earlier detection and treatment of glaucoma, potentially preserving vision for many patients.
How similar studies have performed: Previous research has shown promise in using machine learning and statistical modeling for improving diagnostic accuracy in glaucoma, indicating a potential for success in this approach.
Where this research is happening
Baltimore, United States
- Johns Hopkins University — Baltimore, United States (Active)
Researchers
- Principal investigator: Yohannan, Jithin — Johns Hopkins University
- Study coordinator: Yohannan, Jithin
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 below.