Grupo de Biofísica (BIOFIS), Departamento de Física y Matemática Aplicada, Universidad de Navarra, Pamplona, Navarra, Spain.
Sensing in Physiology and Biomedicine (PhySense), Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain.
Rev Esp Cardiol (Engl Ed). 2021 Jan;74(1):65-71. doi: 10.1016/j.rec.2020.05.024. Epub 2020 Aug 15.
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.
心血管疾病目前具有重大的社会和经济影响，是导致死亡率和发病率的主要原因之一。心脏的个性化计算模型不仅有助于了解心脏病的潜在机制，还可用于优化治疗方法并预测患者的反应，从而展示了其价值。在这一背景下，西班牙心脏计算建模研究网络（VHeart-SN）应运而生。VHeart-SN 网络的总体目标是开发一个综合的、模块化的、多尺度的心脏多物理计算模型。这一总体目标通过以下具体目标来实现：a）整合不同的数值方法和模型，同时考虑患者的特异性；b）辅助推进与心脏和血管疾病相关机制的知识；c）支持不同个性化治疗方法的应用。本文介绍了心脏计算建模的现状以及网络成员进行的不同科学研究工作，以深入了解这些模型的特点和用途。
