Using AI to find genetic causes of hearing loss in older adults
AI-based genetic discovery for hearing loss
This study is looking at how our genes might affect hearing loss as we get older, using special computer techniques to analyze data from mice, with the hope of finding new ways to help prevent or treat hearing problems in older adults.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Stanford University NIH-funded |
| Lab location | 1 site (Stanford, United States) |
| Project ID | NIH-11097340 on NIH RePORTER |
What this research studies
This research focuses on understanding the genetic factors that contribute to age-related hearing loss, a common issue among the elderly. By utilizing advanced AI techniques, the project aims to analyze genetic data from mouse models to identify new genetic variants linked to hearing impairment. The researchers will enhance their AI system to prioritize candidate genes and assess their relevance to human hearing loss. This approach could lead to breakthroughs in preventing or reversing hearing loss in older adults.
Who could benefit from this research
Good fit: Ideal candidates for this research are older adults experiencing age-related hearing loss or those with a family history of hearing impairment.
Not a fit: Patients with hearing loss due to non-genetic factors or those who are not elderly may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to new strategies for preventing or reversing age-related hearing loss, significantly improving the quality of life for affected individuals.
How similar studies have performed: Previous research has successfully utilized AI and genetic analysis in other areas of health, suggesting a promising potential for this novel approach in hearing loss.
Where this research is happening
Stanford, United States
- Stanford University — Stanford, United States (Active)
Researchers
- Principal investigator: Peltz, Gary a — Stanford University
- Study coordinator: Peltz, Gary a
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.