Using computer models to predict and treat heart rhythm problems
A population-based computational approach for arrhythmia prediction and therapy
This study is looking at new ways to predict and manage irregular heartbeats, called arrhythmias, to help keep people safe and improve treatments, especially since these heart issues can affect everyone differently.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California Los Angeles NIH-funded |
| Lab location | 1 site (Los Angeles, United States) |
| Project ID | NIH-10943723 on NIH RePORTER |
What this research studies
This research focuses on developing a computational approach to predict and manage arrhythmias, which are irregular heartbeats that can lead to sudden cardiac death. By analyzing data at both individual and population levels, the project aims to improve risk stratification and identify effective drug targets for therapy. The methodology involves understanding the complex interactions that cause arrhythmias, which can vary significantly from person to person. This approach seeks to enhance the efficacy of existing treatments and reduce the risks associated with current antiarrhythmic drugs.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals diagnosed with arrhythmias or those at high risk for sudden cardiac death.
Not a fit: Patients with arrhythmias that are not responsive to drug therapies or those who do not have access to the required computational assessments may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more effective and personalized treatments for patients with arrhythmias, potentially reducing the risk of sudden cardiac death.
How similar studies have performed: Previous research has shown promise in using computational models for predicting arrhythmias, indicating that this approach could lead to significant advancements in treatment.
Where this research is happening
Los Angeles, United States
- University of California Los Angeles — Los Angeles, United States (Active)
Researchers
- Principal investigator: Qu, Zhilin — University of California Los Angeles
- Study coordinator: Qu, Zhilin
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 below.