Using AI to discover genetic factors in mice that affect human health
Official title: Enabling AI-based Mouse Genetic Discovery
Funded at Stanford University · NIH-10890173 · Data updated 2026-11-12
This study is all about using smart computer technology to look at genetic information from lab mice, helping us learn more about diseases that affect people, so we can find better treatments for those conditions.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Stanford University NIH-funded |
| Lab location | 1 site (Stanford, United States) |
| Project start | August 1, 2023 |
| Project end | July 31, 2027 |
| Funding year | 2024 |
| Award (this year) | $762,512 |
| NIH project number | 5R24OD035408-02 |
| Project ID | NIH-10890173 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for benefiting from this research include individuals with genetic conditions or diseases that have been studied using mouse models.
✕Less likely to help
Patients with conditions that do not have corresponding mouse models or genetic studies may not receive benefits from this research.
What this research studies
This research focuses on enhancing the use of artificial intelligence (AI) to analyze genetic data from laboratory mice, which are crucial for understanding human diseases. The team has developed an AI-based computational pipeline that identifies genetic factors linked to various health conditions by analyzing a vast amount of published research. By integrating advanced machine learning techniques and genomic sequencing, the project aims to create a more comprehensive understanding of genetic variations in mice, which can lead to breakthroughs in human health treatments.
Why it matters
Potential benefit: If successful, this research could lead to faster identification of genetic factors that contribute to human diseases, ultimately improving treatment options.
How similar studies have gone: Previous research has shown success in using AI to analyze genetic data, indicating that this approach has the potential for significant advancements.
Where this research is happening
-
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.