Using a smart eye emulator to understand glaucoma risk factors
Official title: SCH: SEEthroughGLAUCOMA: Smart Eye Emulator (SEE) to study glaucoma risk factors
Funded at University of Maine Orono · NIH-10930934 · Data updated 2026-11-12
This study is looking at what factors might increase the risk of open angle glaucoma, so we can create a smart tool to help doctors better understand who needs more attention and who might not need as much treatment, making it easier for everyone to get the right care.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Maine Orono NIH-funded |
| Lab location | 1 site (Orono, United States) |
| Project start | September 1, 2022 |
| Project end | June 30, 2026 |
| Funding year | 2024 |
| Award (this year) | $225,049 |
| NIH project number | 5R01EY034718-04 |
| Project ID | NIH-10930934 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals at risk for open angle glaucoma, particularly those with varying blood pressure and intraocular pressure levels.
✕Less likely to help
Patients with other types of glaucoma or those who do not have risk factors associated with open angle glaucoma may not benefit from this research.
What this research studies
This research investigates the risk factors associated with open angle glaucoma (OAG), a leading cause of irreversible blindness. It aims to develop a smart eye emulator that can accurately estimate the contributions of intraocular pressure (IOP) and blood pressure (BP) along with demographic factors like age, gender, and race. By quantifying these risk factors, the research seeks to create a framework that helps clinicians provide targeted care to patients at higher risk while avoiding unnecessary treatments for those at lower risk. The approach combines advanced computer modeling with clinical data analysis to enhance understanding and management of glaucoma.
Why it matters
Potential benefit: If successful, this research could lead to more personalized and effective treatment strategies for glaucoma patients.
How similar studies have gone: Previous research has shown promise in using computer models to analyze risk factors for various diseases, suggesting that this approach could yield valuable insights for glaucoma management.
Where this research is happening
-
University of Maine Orono
Orono, United States Active
Researchers
- Principal investigator: Guidoboni, Giovanna — University of Maine Orono
- Study coordinator: Guidoboni, Giovanna
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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.