Using artificial intelligence to enhance genomic research
Official title: Artificial Intelligence and Machine Learning Core
Funded at Oklahoma Medical Research Foundation · NIH-11019321 · Data updated 2026-11-12
This study is all about using advanced computer technology to help scientists better understand how our genes affect health and disease, which could lead to new ways to diagnose and treat patients like you.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Oklahoma Medical Research Foundation NIH-funded |
| Lab location | 1 site (Oklahoma City, United States) |
| Project start | June 10, 2025 |
| Project end | April 30, 2030 |
| Funding year | 2025 |
| Award (this year) | $230,175 |
| NIH project number | 1P20GM156711-01 |
| Project ID | NIH-11019321 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for participation or benefit from this research include individuals with genetic conditions or those interested in genomic medicine.
✕Less likely to help
Patients who do not have a genetic condition or are not engaged in genomic research may not receive direct benefits from this research.
What this research studies
This research focuses on expanding the capabilities of the Artificial Intelligence and Machine Learning Core to support researchers in genomic regulation. By providing expertise and advanced computational resources, the project aims to help scientists analyze high-throughput data more effectively. Patients may benefit from improved understanding of genomic factors that influence health and disease, as well as the development of new diagnostic tools. The core will also work on creating customized AI tools for tasks like image analysis and genomic interval analysis.
Why it matters
Potential benefit: If successful, this research could lead to breakthroughs in understanding genomic regulation and improved diagnostic capabilities for various health conditions.
How similar studies have gone: Other research has shown success in utilizing AI and machine learning for genomic analysis, indicating a promising approach in this field.
Where this research is happening
-
Oklahoma Medical Research Foundation
Oklahoma City, United States Active
Researchers
- Principal investigator: Wren, Jonathan Daniel — Oklahoma Medical Research Foundation
- Study coordinator: Wren, Jonathan Daniel
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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.