Related Experiment Video
Updated: Dec 11, 2025
In Silico Clinical Trials for Cardiovascular Disease
Published on: May 27, 2022
Cardiac computational modelling
Jean R Bragard1, Oscar Camara2, Blas Echebarria3
1Grupo de Biofísica (BIOFIS), Departamento de Física y Matemática Aplicada, Universidad de Navarra, Pamplona, Navarra, Spain.
Insights
Personalized computational models of the heart aid in understanding cardiovascular diseases and optimizing patient treatment. The VHeart-SN network aims to create an integrated, multiscale cardiac model for improved cardiac care.
Area of Science:
- Cardiovascular Research
- Computational Biology
- Medical Modeling
Background:
- Cardiovascular diseases (CVDs) pose significant social and economic burdens, being leading causes of death and illness.
- Personalized computational heart models offer valuable insights into cardiac disease mechanisms and treatment optimization.
- The Spanish Research Network for Cardiac Computational Modelling (VHeart-SN) has been established to advance this field.
Purpose of the Study:
- To develop an integrated, modular, multiscale, and multiphysical computational model of the heart.
- To advance understanding of cardiac and vascular disease mechanisms.
- To support the application of personalized therapies for cardiovascular conditions.
Main Methods:
- Integration of diverse numerical methods and patient-specific models.
- Multiscale and multiphysical modeling approaches.
- Collaborative research within the VHeart-SN network.
Main Results:
- The article outlines the current state of cardiac computational modeling.
- It details scientific contributions from VHeart-SN members.
- It highlights the utility and characteristics of these advanced models.
Conclusions:
- Cardiac computational modeling is crucial for understanding and treating cardiovascular diseases.
- The VHeart-SN network is developing a comprehensive cardiac model.
- These models promise to enhance personalized medicine and patient outcomes in cardiology.
Abstract:
Cardiovascular diseases currently have a major social and economic impact, constituting one of the leading causes of mortality and morbidity. Personalized computational models of the heart are demonstrating their usefulness both to help understand the mechanisms underlying cardiac disease, and to optimize their treatment and predict the patient's response. Within this framework, the Spanish Research Network for Cardiac Computational Modelling (VHeart-SN) has been launched. The general objective of the VHeart-SN network is the development of an integrated, modular and multiscale multiphysical computational model of the heart. This general objective is addressed through the following specific objectives: a) to integrate the different numerical methods and models taking into account the specificity of patients; b) to assist in advancing knowledge of the mechanisms associated with cardiac and vascular diseases; and c) to support the application of different personalized therapies. This article presents the current state of cardiac computational modelling and different scientific works conducted by the members of the network to gain greater understanding of the characteristics and usefulness of these models.
