Using big data to find new drugs for Alzheimer's disease
Translational big data analytic approaches to advance drug repurposing for Alzheimer's disease
This study is looking for new ways to find drugs that could help people with Alzheimer's and related dementias by using advanced technology to analyze a lot of health data, so we can discover better treatment options for patients.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Pennsylvania NIH-funded |
| Lab location | 1 site (Philadelphia, United States) |
| Project ID | NIH-11085198 on NIH RePORTER |
What this research studies
This research focuses on leveraging advanced big data analytics, including machine learning and deep learning, to identify new drug candidates for Alzheimer's disease (AD) and related dementias. By analyzing large datasets that include genetic information, imaging data, and clinical records, the project aims to discover effective drug repurposing opportunities. The methodology involves integrating various types of biomedical data to pinpoint drugs or combinations that may be effective against AD. Patients may benefit from the identification of new treatment options that could improve their condition.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals diagnosed with Alzheimer's disease or related dementias.
Not a fit: Patients with early-stage cognitive impairment that is not related to Alzheimer's disease may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to new and effective treatments for Alzheimer's disease, potentially improving the quality of life for patients.
How similar studies have performed: Previous research has shown promise in using big data analytics for drug repurposing, indicating that this approach could yield significant advancements in treatment options.
Where this research is happening
Philadelphia, United States
- University of Pennsylvania — Philadelphia, United States (Active)
Researchers
- Principal investigator: Shen, Li — University of Pennsylvania
- Study coordinator: Shen, Li
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.