Using advanced computing to combine various health data for better insights
Official title: Integrating Multi-Omics into Ongoing NIH Research through Artificial Intelligence
Funded at Medical University of South Carolina · NIH-10853987 · Data updated 2026-11-12
This study is working to combine different types of health information, like medical records and genetic data, using advanced technology to help researchers better understand diseases and improve treatments for patients like you.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Medical University of South Carolina NIH-funded |
| Lab location | 1 site (Charleston, United States) |
| Project start | September 1, 2024 |
| Project end | August 31, 2025 |
| Funding year | 2024 |
| Award (this year) | $1,204,116 |
| NIH project number | 1S10OD034280-01A1 |
| Project ID | NIH-10853987 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals whose health data can contribute to the integration of clinical, imaging, and genomic information.
✕Less likely to help
Patients who do not have accessible health data or are outside the geographic area of the study may not benefit from this research.
What this research studies
This research aims to enhance the integration of diverse health data sources, including electronic health records, clinical imaging, and genomic information, using advanced artificial intelligence and high-performance computing. By acquiring a powerful computing cluster, the Medical University of South Carolina will be able to analyze large datasets more effectively, facilitating groundbreaking biomedical research. Patients' health information will be utilized to improve understanding of diseases and treatment outcomes, ultimately benefiting patient care.
Why it matters
Potential benefit: If successful, this research could lead to improved healthcare outcomes through more personalized and effective treatment strategies.
How similar studies have gone: Previous research utilizing similar AI and big data integration approaches has shown promising results in enhancing patient care and treatment outcomes.
Where this research is happening
-
Medical University of South Carolina
Charleston, United States Active
Researchers
- Principal investigator: Lenert, Leslie a. — Medical University of South Carolina
- Study coordinator: Lenert, Leslie a.
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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.