Using advanced data analysis to find new treatments for Alzheimer's disease
Official title: Integrating multi-omics datasets to infer phenotype-specific driver genes, regulatory interactions and drug response
Funded at University of North Texas · NIH-10713475 · Data updated 2026-11-12
This study is looking for new ways to find better treatments for Alzheimer's and related dementias by using advanced computer techniques to combine information about drugs and diseases, hoping to speed up the process of discovering effective options for patients like you.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of North Texas NIH-funded |
| Lab location | 1 site (Denton, United States) |
| Project start | August 1, 2019 |
| Project end | June 30, 2025 |
| Funding year | 2023 |
| Award (this year) | $320,473 |
| NIH project number | 3R35GM133657-06S1 |
| Project ID | NIH-10713475 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals diagnosed with Alzheimer's disease or related dementias.
✕Less likely to help
Patients with forms of dementia unrelated to Alzheimer's disease may not benefit from this research.
What this research studies
This research focuses on Alzheimer's disease and related dementias, which currently have no cure. It aims to develop a novel machine learning approach that integrates various datasets related to drugs, diseases, and proteins to identify potential new treatments. By utilizing existing FDA-approved drugs and exploring their combinations, the project seeks to expedite the drug discovery process, which is traditionally lengthy and costly. Patients may benefit from more effective treatment options that could emerge from this innovative approach.
Why it matters
Potential benefit: If successful, this research could lead to new and effective treatment options for patients suffering from Alzheimer's disease.
How similar studies have gone: Other research has shown promise in using computational methods for drug repurposing, indicating potential success for this approach.
Where this research is happening
-
University of North Texas
Denton, United States Active
Researchers
- Principal investigator: Bozdag, Serdar — University of North Texas
- Study coordinator: Bozdag, Serdar
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.