Using AI to analyze data for understanding exceptional longevity in centenarians
Official title: An Explainable Unified AI Strategy for Efficient and Robust Integrative Analysis of Multi-omics Data from Highly Heterogeneous Multiple Studies
Funded at Jackson Laboratory · NIH-10729965 · Data updated 2026-11-12
This study is looking at the genes of healthy people who live to be 100 or older to find out what helps them stay healthy and live longer, using advanced technology to connect different types of biological information, so we can learn how to better support aging individuals.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Jackson Laboratory NIH-funded |
| Lab location | 1 site (Bar Harbor, United States) |
| Project start | August 15, 2023 |
| Project end | July 31, 2025 |
| Funding year | 2023 |
| Award (this year) | $551,986 |
| NIH project number | 1R21AG083299-01 |
| Project ID | NIH-10729965 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals aged 100 years and older, particularly those who are healthy and exhibit exceptional longevity.
✕Less likely to help
Patients who are younger than 100 years or those with significant age-related health issues may not benefit from this research.
What this research studies
This research focuses on identifying genetic markers associated with exceptional longevity in healthy centenarians by analyzing complex biological data from various studies. It employs a novel AI strategy that integrates multi-omics data, which includes genetic, epigenetic, and other biological information, to uncover relationships among different markers and their impact on aging. By utilizing advanced graph neural networks, the research aims to improve the detection of protective variants that may help counteract age-related diseases. Patients may benefit from insights gained about longevity and health in older age.
Why it matters
Potential benefit: If successful, this research could lead to the identification of genetic markers that promote healthy aging and longevity, potentially informing future treatments or preventive strategies for age-related diseases.
How similar studies have gone: Previous research has shown promise in using AI and multi-omics approaches to uncover genetic factors related to aging, suggesting that this method could yield valuable insights.
Where this research is happening
-
Jackson Laboratory
Bar Harbor, United States Active
Researchers
- Principal investigator: Li, Yi — Jackson Laboratory
- Study coordinator: Li, Yi
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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.