Machine learning-based frailty index for diverse mice
Official title: Machine learning based frailty index for the genetically diverse mice
Funded at Jackson Laboratory · NIH-11393182 · Data updated 2026-11-12
A machine-learning powered frailty score using videos of diverse mice to better understand aging and its health impacts.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Jackson Laboratory NIH-funded |
| Lab location | 1 site (Bar Harbor, United States) |
| Project start | September 1, 2022 |
| Project end | August 31, 2027 |
| Funding year | 2026 |
| Award (this year) | $667,286 |
| NIH project number | 5R33AG078530-05 |
| Project ID | NIH-11393182 on NIH RePORTER |
Who could benefit from this research
✓Could help
Not applicable to people directly; study involves mice for aging research that may inform human aging.
✕Less likely to help
This work does not involve patients and does not directly test treatments in humans.
What this research studies
This project uses video data and artificial intelligence to automatically measure frailty in genetically diverse mice, making the frailty index faster and more scalable. The goal is to improve how we quantify aging-related vulnerability and to test this tool in an interventional setting. The work combines long-term behavioral and physiological monitoring to create richer features for the automated frailty assessment. By studying diverse mice, the researchers hope to better mirror human aging and identify potential interventions that maintain health with age.
Why it matters
Potential benefit: If successful, the automated frailty tool could speed up aging research and help identify interventions that promote healthier aging.
How similar studies have gone: Automated frailty measures using machine learning have shown promise in improving reproducibility and scalability in animal aging research.
Where this research is happening
-
Jackson Laboratory
Bar Harbor, United States Active
Researchers
- Principal investigator: Kumar, Vivek — Jackson Laboratory
- Study coordinator: Kumar, Vivek
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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.