Predicting the risk of developing late age-related macular degeneration
Official title: A Model for Predicting 2-Year Risk of Incident Late Age-related Macular Degeneration
Funded at Ihealthscreen, INC. · NIH-10921958 · Data updated 2026-11-12
This study is testing a new AI software called iPredict-AMD that helps find out if people are at risk for late age-related macular degeneration (AMD) so they can get the right care sooner.
Quick facts
| Grant type | Sbir 2 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Ihealthscreen, INC. NIH-funded |
| Lab location | 1 site (Richmond Hill, UNITED STATES) |
| Project start | May 1, 2021 |
| Project end | July 31, 2027 |
| Funding year | 2024 |
| Award (this year) | $1,049,010 |
| NIH project number | 2R44EY031202-04A1 |
| Project ID | NIH-10921958 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals at risk of developing late age-related macular degeneration, particularly those in the early stages of the disease.
✕Less likely to help
Patients who have already progressed to late-stage age-related macular degeneration may not benefit from this research.
What this research studies
This research focuses on developing an artificial intelligence-based software called iPredict-AMD that aims to screen and predict the risk of late age-related macular degeneration (AMD). By identifying patients at earlier stages of AMD, the software could help in timely intervention and management of the condition. The research involves conducting prospective clinical trials to validate the effectiveness of this AI tool, which could lead to FDA approval and commercialization. Patients will be monitored and assessed to determine their risk levels and appropriate treatment options.
Why it matters
Potential benefit: If successful, this research could significantly improve early detection and management of age-related macular degeneration, potentially preserving vision for many patients.
How similar studies have gone: Other research has shown promise in using artificial intelligence for early detection of various medical conditions, indicating that this approach could be effective for AMD as well.
Where this research is happening
-
Ihealthscreen, INC.
Richmond Hill, United States Active
Researchers
- Principal investigator: Bhuiyan, Alauddin — Ihealthscreen, INC.
- Study coordinator: Bhuiyan, Alauddin
Related research
Other NIH-funded projects on the same topics.
-
AI-powered tool to predict 2-year risk of late AMD
A new AI software helps people at risk of age-related macular degeneration understand their 2-year risk and what steps could protect their vision.
-
Active cycling program to support vision and daily living in Veterans with AMD
A 6-month online group spin cycling program is tested to help Veterans with age-related macular degeneration maintain vision and improve daily functioning.
-
Transplanting stem-cell–derived retinal cells to treat dry AMD
A medical team is testing a stem cell therapy to replace damaged retinal cells in adults with dry age-related macular degeneration.
-
RPESC-derived RPE Transplant for Dry AMD in adults
A new cell-based therapy derived from RPESCs is being tested to help adults with dry age-related macular degeneration regain vision.
-
New high-resolution OCT biomarkers to map early AMD changes
A new imaging approach using advanced OCT methods will help doctors see early changes in age-related macular degeneration to guide treatment and improve quality of life for older adults.
-
Targeting inflammation in age-related macular degeneration
Aims to understand how inflammation drives age-related macular degeneration in people and explore new targets to slow or stop vision loss.
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.