Population-based computer approach to predict arrhythmias and guide therapy
Official title: A population-based computational approach for arrhythmia prediction and therapy
Funded at University of California Los Angeles · NIH-11375176 · Data updated 2026-11-12
A population-based computer approach is being developed to predict dangerous heart rhythms and guide drug or device therapy for people at risk of sudden cardiac death.
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 start | July 9, 2024 |
| Project end | June 30, 2028 |
| Funding year | 2026 |
| Award (this year) | $393,750 |
| NIH project number | 5R01HL175074-03 |
| Project ID | NIH-11375176 on NIH RePORTER |
Who could benefit from this research
✓Could help
Adults with Brugada syndrome or other cardiac disease at risk for ventricular arrhythmias who may benefit from improved risk stratification and personalized therapy.
✕Less likely to help
Patients with stable conditions not at risk for ventricular arrhythmias or those not eligible for future therapeutic targeting may see limited direct benefit.
What this research studies
This project uses computational methods to model how arrhythmias arise across multiple scales, aiming to improve how doctors decide on antiarrhythmic drugs or implantable devices. It focuses on Brugada syndrome and other cardiac conditions, considering how individual differences affect drug responses. By linking molecular targets to tissue behavior and patient variability, it seeks better risk stratification and therapy personalization. The work will combine data analysis, simulations, and potential translation toward more effective, safer treatment options for patients at risk of ventricular arrhythmias.
Why it matters
Potential benefit: If successful, the project could lead to safer drug choices and more accurate risk assessments, potentially reducing sudden cardiac death.
How similar studies have gone: Similar computational approaches have shown promise in understanding arrhythmia mechanisms, but translating to clinical therapy remains challenging and requires further validation.
Where this research is happening
-
University of California Los Angeles
Los Angeles, United States Active
Researchers
- Principal investigator: Qu, Zhilin — University of California Los Angeles
- Study coordinator: Qu, Zhilin
Related research
Other NIH-funded projects on the same topics.
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Understanding how heart nerves affect dangerous heart rhythms after a heart attack
This NIH grant studies how changes in the heart’s nerve signaling after a heart attack lead to dangerous rhythm problems, with the goal of finding ways to prevent them.
-
Dexterous needle ablation for ventricular arrhythmia guided by MRI
A new MRI-guided, robot-assisted catheter delivers deeper heart tissue ablation to treat ventricular tachycardia.
-
Sex-specific heart cell signaling and rhythm problems linked to a heart failure drug target
A study from UCLA aims to understand how a key heart signaling pathway controls heart beating and rhythm differently in men and women with heart failure.
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Additive-made wearable magnetic sensors for heart monitoring with AI
A wearable system using affordable, 3D-printed sensors and machine learning to help detect heart rhythm problems in people.
-
Understanding fat deposits after heart attack and their link to dangerous heart rhythms
A Penn Medicine team is studying how fat buildup in the heart after a heart attack may influence dangerous heart rhythms and recovery.
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Developing 3D Real-Time CMR for Arrhythmia Imaging
Aims to make real-time 3D heart MRI usable for people with irregular heartbeats to improve how doctors see arrhythmias.
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.