Using deep learning to analyze genetic factors in aortic diseases
Official title: Deep learning to enable the genetic analysis of aorta
Funded at University of California, San Francisco · NIH-10886824 · Data updated 2026-11-12
This study is looking at aortic diseases that can affect your heart and blood vessels, using advanced technology to analyze heart scans and genetic information to find out what makes some people more at risk, with the goal of improving how we screen and treat these conditions.
Quick facts
| Grant type | Career grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California, San Francisco NIH-funded |
| Lab location | 1 site (San Francisco, United States) |
| Project start | May 1, 2023 |
| Project end | July 31, 2026 |
| Funding year | 2024 |
| Award (this year) | $162,250 |
| NIH project number | 5K08HL159346-04 |
| Project ID | NIH-10886824 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals with a history of aortic diseases or those at risk for developing such conditions.
✕Less likely to help
Patients without any cardiovascular issues or genetic predispositions to aortic diseases may not benefit from this research.
What this research studies
This research focuses on understanding aortic diseases, which can lead to serious cardiovascular issues. The team is using advanced deep learning techniques to analyze cardiovascular MRI images and quantify the diameter of the thoracic aorta. By studying genetic data from a large population, they aim to identify genetic risk factors associated with both thoracic and abdominal aortic diseases. This innovative approach could help develop better screening guidelines and therapies for patients with aortic conditions.
Why it matters
Potential benefit: If successful, this research could lead to improved screening and treatment options for patients with aortic diseases.
How similar studies have gone: Previous research has shown promise in using deep learning for medical imaging analysis, indicating that this approach could yield significant insights into aortic diseases.
Where this research is happening
-
University of California, San Francisco
San Francisco, United States Active
Researchers
- Principal investigator: Pirruccello, James — University of California, San Francisco
- Study coordinator: Pirruccello, James
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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.