Understanding heart rhythms to improve treatment for arrhythmias
Official title: Electrical Mapping Signatures of Adverse Structural and Functional Remodeling in Ventricular Arrhythmia
Funded at Stanford University · NIH-11005712 · Data updated 2026-11-12
This study is working on a new way to understand heart rhythm problems in people with heart muscle disease by looking at how the heart is structured and how it works electrically, so doctors can better assess risks and personalize treatments for patients.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Stanford University NIH-funded |
| Lab location | 1 site (Stanford, United States) |
| Project start | January 1, 2023 |
| Project end | December 31, 2027 |
| Funding year | 2025 |
| Award (this year) | $171,547 |
| NIH project number | 5K23HL166977-03 |
| Project ID | NIH-11005712 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are patients diagnosed with cardiomyopathy who experience ventricular arrhythmias.
✕Less likely to help
Patients without a diagnosis of cardiomyopathy or those who do not experience ventricular arrhythmias may not benefit from this research.
What this research studies
This research aims to create a new classification system for ventricular arrhythmias in patients with cardiomyopathy by analyzing both structural and electrical abnormalities in the heart. Using advanced machine learning techniques, the study will identify unique electrical patterns associated with heart scars and measure electrical remodeling. This approach seeks to enhance risk assessment and tailor interventional therapies and medications for patients. By leveraging data from a large patient registry and animal models, the research intends to provide actionable insights for clinicians.
Why it matters
Potential benefit: If successful, this research could lead to more effective treatments and improved outcomes for patients suffering from ventricular arrhythmias.
How similar studies have gone: Previous research has shown promise in using machine learning for cardiac mapping, indicating potential success for this novel approach.
Where this research is happening
-
Stanford University
Stanford, United States Active
Researchers
- Principal investigator: Rogers, Albert Joseph — Stanford University
- Study coordinator: Rogers, Albert Joseph
Related research
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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.