Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Epithelial FOXP3 Orchestrates O-Glycosylated IL6 Secretion to Drive Pancreatic Fibrocarcinogenesis.

Gastroenterology·2026

Same author

GatedGeoGO:Multi-Modal Geometry-Aware Network with Gated Fusion and GO Semantic Attention for Protein Function Prediction.

Journal of chemical information and modeling·2026

Same author

Comprehensive Review of Contrastive and Generative Self-Supervised Learning for Small Molecular Representation.

Journal of chemical information and modeling·2026

Same author

Boundary-Aware Attention with Dual-Stream Frequency Fusion for Medical Image Segmentation.

IEEE journal of biomedical and health informatics·2026

Same author

Response of riverine N<sub>2</sub>O to anthropogenic intensity and seasonal hydrological drivers in a high-altitude basin.

Journal of environmental management·2026

Same author

Artificial intelligence-enabled multi-scale virtual cell: perspective, challenges, and opportunities.

Briefings in bioinformatics·2026

Same journal

SynTME: A tumor microenvironment-aware, pharmacology-inspired multi-stage framework for drug synergy prediction.

Computer methods and programs in biomedicine·2026

Same journal

MMFVS-Net: A triple-symmetric cross-attention network for multimodal optical image fusion and high-accuracy virtual staining of breast cancer tissues.

Computer methods and programs in biomedicine·2026

Same journal

A novel Milstein-stochastic epidemiologically-informed neural network for approaching epidemic dynamics: Application to Mpox disease.

Computer methods and programs in biomedicine·2026

Same journal

Accounting for approximation errors using surrogate-based parameter estimation of cardiac mechanics digital twins.

Computer methods and programs in biomedicine·2026

Same journal

Facial iPPG heatmap patterns based on period-aware autoencoder show association with carotid atherosclerosis towards non-contact hemodynamic assessment.

Computer methods and programs in biomedicine·2026

Same journal

Explainable machine learning models predict liver fibrosis risk and outcome in the general population: Development and multi-cohort external validation.

Computer methods and programs in biomedicine·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Oct 27, 2025

In Silico Clinical Trials for Cardiovascular Disease

In Silico Clinical Trials for Cardiovascular Disease

Published on: May 27, 2022

A Multi-Scale Computational Model for the Rat Ventricle: Construction, Parallelization, and Applications.

Xiangpeng Bi¹, Shugang Zhang², Huasen Jiang¹

¹College of Computer Science and Technology, Ocean University of China, Qingdao 266100, China.

Computer Methods and Programs in Biomedicine

|July 24, 2021

Summary

This summary is machine-generated.

This study developed a multi-scale virtual rat heart model to simulate cardiac arrhythmias. The model accurately reproduces physiological and pathological heart activity, aiding in understanding arrhythmia mechanisms and drug screening.

Keywords:

Cardiac simulation Parallelization Rat ventricle Ventricular arrhythmia

More Related Videos

3D Modeling of the Lateral Ventricles and Histological Characterization of Periventricular Tissue in Humans and Mouse

3D Modeling of the Lateral Ventricles and Histological Characterization of Periventricular Tissue in Humans and Mouse

Published on: May 19, 2015

Echocardiographic Assessment of Cardiac Anatomy and Function in Adult Rats

Echocardiographic Assessment of Cardiac Anatomy and Function in Adult Rats

Published on: December 13, 2019

Related Experiment Videos

Last Updated: Oct 27, 2025

In Silico Clinical Trials for Cardiovascular Disease

In Silico Clinical Trials for Cardiovascular Disease

Published on: May 27, 2022

3D Modeling of the Lateral Ventricles and Histological Characterization of Periventricular Tissue in Humans and Mouse

3D Modeling of the Lateral Ventricles and Histological Characterization of Periventricular Tissue in Humans and Mouse

Published on: May 19, 2015

Echocardiographic Assessment of Cardiac Anatomy and Function in Adult Rats

Echocardiographic Assessment of Cardiac Anatomy and Function in Adult Rats

Published on: December 13, 2019

Area of Science:

Computational biology
Biophysics
Cardiovascular research

Background:

Cardiovascular diseases, particularly ventricular arrhythmias, are a leading cause of death.
Multi-scale virtual heart models are crucial for studying cardiac electrophysiology and pathology.
A validated computational model for rats, widely used in research, is lacking.

Purpose of the Study:

To construct a multi-scale computational model of the rat ventricle.
To detail the methodology for model construction, optimization, and application.
To provide a tool for investigating arrhythmia mechanisms and anti-arrhythmic drug efficacy.

Main Methods:

Incorporated transmural, interventricular, and base-apex heterogeneity into the model.
Employed optimized representation and GPU-based parallelization for computational efficiency.
Validated the model by reproducing normal and reentrant excitation waves and pseudo-ECGs.

Main Results:

Successfully modeled normal and reentrant excitation waves and corresponding pseudo-ECGs.
Quantified temporal and spatial vulnerability to reentry arrhythmias.
Identified the apex as the most susceptible region to arrhythmias.

Conclusions:

The multi-scale rat ventricle model accurately simulates physiological and pathological cardiac phenomena.
The model serves as a valuable tool for studying arrhythmogenesis.
This computational model can facilitate the screening of novel anti-arrhythmic drugs.