Data and AI Core for Cardiovascular and Metabolic Health (Core D)
Official title: Data Management, Analysis, and Artificial Intelligence (AI) Core (Core D)
Funded at University of Louisville · NIH-11268661 · Data updated 2026-11-12
A central data and AI hub at the University of Louisville will help researchers collect, harmonize, and analyze data to understand how nutrition, metabolism, and heart health influence disease.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Louisville NIH-funded |
| Lab location | 1 site (Louisville, United States) |
| Project start | May 15, 2026 |
| Project end | January 31, 2031 |
| Funding year | 2026 |
| Award (this year) | $193,789 |
| NIH project number | 1P20GM161999-01 |
| Project ID | NIH-11268661 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates include individuals with cardiovascular risk factors or metabolic health concerns who may participate in related translational studies or benefit from future discoveries informed by the data hub.
✕Less likely to help
Participants not directly involved in data generation or who are not part of nutrition/metabolic cardiovascular studies may see no personal benefit.
What this research studies
This core provides advanced data curation, biostatistics, and AI tools to manage information from multiple projects and build a unified knowledge base. It will train researchers from diverse backgrounds to work with high-dimensional data and translate findings into translational health insights. The initiative emphasizes standardized data pipelines, metadata, and integration with external repositories to enable sophisticated analyses of nutrition, sleep, physical activity, and metabolic health. By creating a centralized data infrastructure, the center aims to accelerate discoveries in cardiovascular and metabolic diseases.
Why it matters
Potential benefit: If successful, patients could benefit from faster, more precise insights into how lifestyle factors affect heart and metabolic health and from research that translates preclinical findings into real-world interventions.
How similar studies have gone: Other centers have shown that centralized data cores improve data quality and accelerate translational analyses, though the integration of multiomics and AI is an emerging area.
Where this research is happening
-
University of Louisville
Louisville, United States Active
Researchers
- Principal investigator: Sears, Clara G — University of Louisville
- Study coordinator: Sears, Clara G
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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.