Using advanced models to predict stroke and heart disease risk
Official title: Deep probabilistic predictive models for stroke and coronary heart disease
Funded at New York University · NIH-10678650 · Data updated 2026-11-12
This study is working on creating personalized tools to help predict the risk of stroke and heart disease for people, so that those at higher risk can get more targeted care while others can be managed with less intensive treatments.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | New York University NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project start | September 1, 2019 |
| Project end | June 30, 2025 |
| Funding year | 2023 |
| Award (this year) | $640,517 |
| NIH project number | 5R01HL148248-05 |
| Project ID | NIH-10678650 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals at risk for stroke or coronary heart disease, particularly those under the age of seventy.
✕Less likely to help
Patients with no risk factors for cardiovascular disease may not benefit from this research.
What this research studies
This research focuses on developing sophisticated predictive models to assess the risk of stroke and coronary heart disease in individuals. By utilizing a wide range of patient data, the project aims to create personalized risk assessments that consider the interactions between various health factors. This approach seeks to improve the accuracy of risk predictions, allowing for tailored treatment strategies that can better manage cardiovascular health. Patients identified as high-risk can receive more aggressive interventions, while those at lower risk can be managed conservatively.
Why it matters
Potential benefit: If successful, this research could lead to more effective prevention strategies and treatments for stroke and coronary heart disease, ultimately saving lives.
How similar studies have gone: Previous research has shown promise in using advanced predictive modeling for cardiovascular risk assessment, indicating that this approach could be effective.
Where this research is happening
-
New York University
New York, United States Active
Researchers
- Principal investigator: Ranganath, Rajesh — New York University
- Study coordinator: Ranganath, Rajesh
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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.