Improving blood pressure management and cardiovascular disease prediction in young adults
Official title: Integration of novel contextual and genomic blood pressure measures to enhance cardiovascular disease prediction and management in young adults
Funded at Broad Institute, INC. · NIH-11033107 · Data updated 2026-11-12
This study is looking to improve how we find and manage high blood pressure in young adults aged 18 to 39 by using daily monitoring and advanced technology, with the goal of helping you stay healthier and prevent heart problems.
Quick facts
| Grant type | Career grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Broad Institute, INC. NIH-funded |
| Lab location | 1 site (Cambridge, United States) |
| Project start | February 1, 2025 |
| Project end | January 31, 2027 |
| Funding year | 2025 |
| Award (this year) | $165,364 |
| NIH project number | 1K99HL177340-01 |
| Project ID | NIH-11033107 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are young adults aged 18 to 39 who may be at risk for high blood pressure or cardiovascular disease.
✕Less likely to help
Patients outside the age range of 18 to 39 or those with established cardiovascular disease may not benefit from this research.
What this research studies
This research focuses on enhancing the detection and management of high blood pressure, a key risk factor for cardiovascular disease, specifically in young adults aged 18 to 39. The study aims to identify new patterns of blood pressure through daily monitoring and machine learning, as well as develop a genetic risk score that considers diverse ancestries. By integrating these findings into a personalized cardiovascular risk prediction model, the research seeks to improve hypertension management and prevent cardiovascular disease in this age group.
Why it matters
Potential benefit: If successful, this research could lead to better prevention and management strategies for high blood pressure and cardiovascular disease in young adults.
How similar studies have gone: Previous research has shown promise in using machine learning and genetic risk scores for cardiovascular disease prediction, indicating a potential for success in this novel approach.
Where this research is happening
-
Broad Institute, INC.
Cambridge, United States Active
Researchers
- Principal investigator: Cho, So Mi — Broad Institute, INC.
- Study coordinator: Cho, So Mi
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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.