Finding molecular signs linked to living past 100 using AI
Identifying molecular traits associated with extreme human longevity using an AI based integrative approach
Using AI to spot genetic and blood markers tied to living past 100, to help guide healthier aging for older adults.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California, San Francisco NIH-funded |
| Lab location | 1 site (San Francisco, United States) |
| Project ID | NIH-11333139 on NIH RePORTER |
What this research studies
The team will combine health, genetic, and other molecular data from long-term studies (including the Framingham Heart Study and the Longevity Consortium) and lab datasets to find patterns tied to extreme longevity. Experts in clinical aging, genetic epidemiology, biology of aging, and AI will build integrative models that merge multiple 'omics' types (genes, proteins, metabolites) across studies. They will test and refine AI methods to identify biomarkers that track healthy aging and predict long-term outcomes. The goal is to speed up discovery of measurable markers that could point to treatments or tests for healthier aging.
Who could benefit from this research
Good fit: Ideal candidates are older adults—especially people aged 100+ or participants in long-term aging cohorts—who can contribute health records or biospecimens to aging studies.
Not a fit: People without long-term clinical records, biospecimens, or aging-related data (for example, younger healthy volunteers with no follow-up) are unlikely to directly benefit from this grant's work.
Why it matters
Potential benefit: If successful, this could identify measurable biomarkers that help predict and target healthy aging, potentially speeding development of therapies to reduce age-related disease.
How similar studies have performed: Previous work (such as epigenetic clocks and other biomarker studies) has shown promise, but applying integrative AI across many omics specifically for extreme longevity is relatively new.
Where this research is happening
San Francisco, United States
- University of California, San Francisco — San Francisco, United States (Active)
Researchers
- Principal investigator: Li, Hao — University of California, San Francisco
- Study coordinator: Li, Hao
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.