Predicting the risk of developing late age-related macular degeneration
A Model for Predicting 2-Year Risk of Incident Late Age-related Macular Degeneration
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 ID | NIH-10921958 on NIH RePORTER |
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.
Who could benefit from this research
Good fit: 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.
Not a fit: Patients who have already progressed to late-stage age-related macular degeneration may not benefit from this research.
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 performed: 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
Richmond Hill, UNITED STATES
- Ihealthscreen, INC. — Richmond Hill, United States (Active)
Researchers
- Principal investigator: Bhuiyan, Alauddin — Ihealthscreen, INC.
- Study coordinator: Bhuiyan, Alauddin
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.