A software tool to improve heart failure treatment outcomes
Official title: Software Tool for Optimization of CRT
Funded at 3dt Holdings, LLC · NIH-10915234 · Data updated 2026-11-12
This study is testing a new software tool that helps doctors personalize heart treatment for patients with heart failure, especially those with a specific heart condition called left bundle branch block, to make sure more people benefit from the therapy.
Quick facts
| Grant type | Sbir 1 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | 3dt Holdings, LLC NIH-funded |
| Lab location | 1 site (San Diego, United States) |
| Project start | September 17, 2024 |
| Project end | September 16, 2025 |
| Funding year | 2024 |
| Award (this year) | $293,653 |
| NIH project number | 1R43HL174177-01 |
| Project ID | NIH-10915234 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are patients with heart failure who have left bundle branch block and are candidates for cardiac resynchronization therapy.
✕Less likely to help
Patients without heart failure or those who do not have left bundle branch block may not benefit from this research.
What this research studies
This research focuses on developing a software tool designed to optimize cardiac resynchronization therapy (CRT) for patients with heart failure, particularly those with left bundle branch block. The tool aims to enhance the effectiveness of CRT by using computational models to tailor treatment strategies based on individual patient characteristics. By analyzing factors such as lead positioning and timing of stimulation, the software seeks to reduce the number of patients who do not respond to CRT. This approach is particularly relevant for patients with ischemic cardiomyopathy, who often experience higher rates of non-response.
Why it matters
Potential benefit: If successful, this research could significantly improve treatment outcomes for heart failure patients undergoing CRT, potentially reducing mortality rates.
How similar studies have gone: Previous research has shown promise in using computational models for optimizing cardiac therapies, indicating that this approach could be effective.
Where this research is happening
-
3dt Holdings, LLC
San Diego, United States Active
Researchers
- Principal investigator: Guccione, Julius Matteo — 3dt Holdings, LLC
- Study coordinator: Guccione, Julius Matteo
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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.