Improving heart failure treatment using computer models
Official title: Mathematical Model-Based Optimization of CRT Response in Ischemia
Funded at California Medical Innovations Institute · NIH-10857208 · Data updated 2026-11-12
This study is looking to improve heart treatments for people with heart failure by using smart computer models to find the best ways to help those who don’t respond well to current therapies, aiming to create more personalized care just for you.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | California Medical Innovations Institute NIH-funded |
| Lab location | 1 site (San Diego, United States) |
| Project start | July 1, 2023 |
| Project end | June 30, 2027 |
| Funding year | 2024 |
| Award (this year) | $765,101 |
| NIH project number | 5R01HL166508-02 |
| Project ID | NIH-10857208 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are heart failure patients who are candidates for cardiac resynchronization therapy, particularly those who have not responded to previous treatments.
✕Less likely to help
Patients with heart failure who are not eligible for CRT or those with conditions that preclude the use of pacing therapies may not benefit from this research.
What this research studies
This research focuses on enhancing cardiac resynchronization therapy (CRT) for heart failure patients by utilizing advanced computer modeling techniques. The study aims to identify and optimize factors that influence the effectiveness of CRT, particularly for patients who currently do not respond to this treatment. By integrating machine learning algorithms with physics-based modeling, the researchers hope to better understand how different pacing therapies can improve patient outcomes. This approach could lead to personalized treatment strategies that cater to individual patient needs.
Why it matters
Potential benefit: If successful, this research could significantly increase the number of heart failure patients who respond positively to CRT, improving their quality of life.
How similar studies have gone: Previous research has shown promise in using computational modeling for optimizing cardiac treatments, indicating a potential for success in this novel approach.
Where this research is happening
-
California Medical Innovations Institute
San Diego, United States Active
Researchers
- Principal investigator: Kassab, Ghassan S — California Medical Innovations Institute
- Study coordinator: Kassab, Ghassan S
Related research
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Mathematical Modeling to Improve Cardiac Resynchronization Therapy (CRT) Outcomes
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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.