Understanding heart fibrosis with AI, MRI, and genomics
Official title: Integrating deep learning, magnetic resonance imaging and genomics to study myocardial fibrosis
Funded at Brigham and Women's Hospital · NIH-11381731 · Data updated 2026-11-12
A doctor-scientist is using artificial intelligence, advanced heart MRI, and genetic data to learn how scar tissue forms in the aging heart and how to prevent it.
Quick facts
| Grant type | Career grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Brigham and Women's Hospital NIH-funded |
| Lab location | 1 site (Boston, United States) |
| Project start | August 1, 2025 |
| Project end | July 31, 2030 |
| Funding year | 2026 |
| Award (this year) | $166,480 |
| NIH project number | 5K08HL179484-02 |
| Project ID | NIH-11381731 on NIH RePORTER |
Who could benefit from this research
✓Could help
Adults with or at risk for cardiovascular disease who undergo cardiac MRI and have genetic data available.
✕Less likely to help
Persons without access to MRI or genetic data might not directly benefit from this research.
What this research studies
This work combines deep learning, MRI scans, and genetic information to uncover the mechanisms driving myocardial fibrosis, a condition linked to aging and many heart diseases. By analyzing large datasets, researchers aim to identify key biological pathways and potential therapeutic targets. The findings could lead to earlier detection and new treatments to slow or prevent fibrotic changes in the heart.
Why it matters
Potential benefit: Could lead to better prediction, prevention, and treatment options for heart fibrosis and related cardiovascular diseases.
How similar studies have gone: Previous studies show that integrating imaging and genetic data can reveal meaningful links to fibrosis and heart disease.
Where this research is happening
-
Brigham and Women's Hospital
Boston, United States Active
Researchers
- Principal investigator: Nauffal, Victor — Brigham and Women's Hospital
- Study coordinator: Nauffal, Victor
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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.