Using advanced technology to predict aging-related cell changes in humans
Leveraging Multi-Scale Deep Phenotyping and Applied Machine Learning to Predict Senescent Cell Burden in Humans
This study is looking at how certain aging cells in our bodies might be linked to chronic diseases, and it's for anyone interested in understanding how we can spot these cells earlier to help improve health as we age.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Buck Institute for Research on Aging NIH-funded |
| Lab location | 1 site (Novato, United States) |
| Project ID | NIH-10895604 on NIH RePORTER |
What this research studies
This research investigates the role of senescent cells, which are long-lived inflammatory cells that accumulate with age and contribute to various chronic diseases. By employing advanced machine learning techniques and multi-scale deep phenotyping, the study aims to create a comprehensive atlas of senescent cells in human tissues. This approach will help identify the burden of these cells and their potential link to age-related diseases, enabling earlier detection and intervention strategies. The research will utilize various technological platforms to analyze human tissue samples and develop robust diagnostic methods.
Who could benefit from this research
Good fit: Ideal candidates for this research include older adults or individuals with chronic diseases associated with aging.
Not a fit: Patients who are young and do not have any age-related conditions may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to improved diagnostics and therapies for age-related diseases by identifying individuals at risk due to senescent cell accumulation.
How similar studies have performed: Previous research has shown promising results in targeting senescent cells with therapies in animal models, indicating potential for success in human applications.
Where this research is happening
Novato, United States
- Buck Institute for Research on Aging — Novato, United States (Active)
Researchers
- Principal investigator: Furman, David — Buck Institute for Research on Aging
- Study coordinator: Furman, David
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.