AI-guided signals to rejuvenate stem cells used in therapies
AI-informed Signaling Factor Design for in vitro Rejuvenating Mesenchymal Stromal Cells
Researchers will use artificial intelligence to find combinations of growth signals that keep lab-grown stem cells young and potent for people who may need cell therapies.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California Los Angeles NIH-funded |
| Lab location | 1 site (Los Angeles, United States) |
| Project ID | NIH-11125814 on NIH RePORTER |
What this research studies
This project uses AI tools to predict which signaling proteins and culture conditions help mesenchymal stem cells stay functional and avoid aging in the lab. The team will collect live-cell measurements and molecular data, train AI models to link those measurements to beneficial signaling combinations, and then test the AI-predicted recipes in cell cultures. They will also check that the AI predictions work across cells from different donors and under different lab conditions so the results are reliable for future therapeutic use.
Who could benefit from this research
Good fit: People who might receive mesenchymal stem cell therapies—such as patients with inflammatory conditions, tissue injuries, or degenerative diseases—are the types who could ultimately benefit from this research.
Not a fit: Patients who do not need or are not candidates for cell-based therapies, or those seeking immediate clinical treatment, are unlikely to see direct benefit from this lab-focused project.
Why it matters
Potential benefit: If successful, this work could make stem-cell treatments more reliable by producing more potent, longer-lasting cell products for patients.
How similar studies have performed: Prior lab studies have shown individual signaling pathways can delay MSC aging and early AI methods have helped predict cell states, but using AI to design multi-factor combinations to rejuvenate MSCs is an emerging and relatively new approach.
Where this research is happening
Los Angeles, United States
- University of California Los Angeles — Los Angeles, United States (Active)
Researchers
- Principal investigator: Lin, Neil — University of California Los Angeles
- Study coordinator: Lin, Neil
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.