Using machine learning to speed up treatments for Alzheimer's disease and related dementias
Official title: AI-ADRD: Accelerating interventions of AD/ADRD via Machine learning methods
Funded at University of Pennsylvania · NIH-10682237 · Data updated 2026-11-12
This study is looking for better ways to help people with Alzheimer's and similar conditions by using smart computer techniques to find new uses for existing medications, so patients can get effective treatments more quickly.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Pennsylvania NIH-funded |
| Lab location | 1 site (Philadelphia, United States) |
| Project start | May 1, 2023 |
| Project end | April 30, 2026 |
| Funding year | 2023 |
| Award (this year) | $2,348,869 |
| NIH project number | 1RF1AG077820-01A1 |
| Project ID | NIH-10682237 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are older adults, particularly those over 65, who are diagnosed with Alzheimer's disease or related dementias.
✕Less likely to help
Patients with early-stage cognitive impairment or those without a diagnosis of Alzheimer's disease or related dementias may not benefit from this research.
What this research studies
This research focuses on improving interventions for Alzheimer's Disease and related dementias by utilizing advanced machine learning techniques. It aims to analyze real-world data, such as electronic health records, to identify effective drug repurposing strategies. By developing innovative learning methods, the project seeks to tackle challenges like the complexity of patient data and the varied progression of the disease. Patients may benefit from faster access to effective treatments based on these findings.
Why it matters
Potential benefit: If successful, this research could lead to quicker and more effective treatment options for patients with Alzheimer's disease and related dementias.
How similar studies have gone: Previous research has shown promise in using machine learning for drug repurposing in other conditions, indicating potential success for this novel approach in Alzheimer's disease.
Where this research is happening
-
University of Pennsylvania
Philadelphia, United States Active
Researchers
- Principal investigator: Chen, Yong — University of Pennsylvania
- Study coordinator: Chen, Yong
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.