Using AI to understand the genetics of exceptional longevity and aging-related diseases
AI models of multi-omic data integration for ming longevity core signaling pathways
This study is exploring how artificial intelligence can help us understand the genes that might help people live longer and healthier lives, especially by looking at data from centenarians and other long-lived individuals, so we can find ways to prevent age-related diseases.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Washington University NIH-funded |
| Lab location | 1 site (Saint Louis, United States) |
| Project ID | NIH-10745189 on NIH RePORTER |
What this research studies
This research investigates how artificial intelligence can analyze complex biological data to identify genetic factors that contribute to exceptional longevity and the prevention of age-related diseases. By integrating various types of biological information from large groups of centenarians and other long-lived individuals, the study aims to uncover protective genetic targets and signaling pathways. The approach involves developing advanced AI models that can interpret multi-omic datasets, which include genetic, epigenetic, and other biological data. This could lead to new insights into how to extend health and lifespan through targeted interventions.
Who could benefit from this research
Good fit: Ideal candidates for this research include older adults, particularly those with a family history of exceptional longevity or age-related diseases.
Not a fit: Patients with no interest in aging-related research or those who are not affected by age-related diseases may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to new strategies for preventing age-related diseases and promoting longer, healthier lives.
How similar studies have performed: Previous research has shown promise in using AI for analyzing biological data, indicating that this approach could yield valuable insights.
Where this research is happening
Saint Louis, United States
- Washington University — Saint Louis, United States (Active)
Researchers
- Principal investigator: Li, Fuhai — Washington University
- Study coordinator: Li, Fuhai
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.