000107329 001__ 107329
000107329 005__ 20220425105233.0
000107329 0247_ $$2doi$$a10.1016/j.recesp.2020.05.040
000107329 0248_ $$2sideral$$a119640
000107329 037__ $$aART-2020-119640
000107329 041__ $$aspa
000107329 100__ $$aBragard, J.R.
000107329 245__ $$aModelización computacional cardiaca
000107329 260__ $$c2020
000107329 5060_ $$aAccess copy available to the general public$$fUnrestricted
000107329 5203_ $$aCardiovascular 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.
000107329 536__ $$9info:eu-repo/grantAgreement/EC/H2020/638284/EU/Is your heart aging well? A systems biology approach to characterize cardiac aging from the cell to the body surface/MODELAGE$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 638284-MODELAGE$$9info:eu-repo/grantAgreement/EC/H2020/823712/EU/A Centre of Excellence in Computational Biomedicine/CompBioMed2$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 823712-CompBioMed2$$9info:eu-repo/grantAgreement/ES/MINECO/CEX2018-000797-S$$9info:eu-repo/grantAgreement/ES/MINECO/DPI2016-75799-R$$9info:eu-repo/grantAgreement/ES/MINECO/DPI2016-81873-REDT$$9info:eu-repo/grantAgreement/ES/MINECO/MDM-2015-0502$$9info:eu-repo/grantAgreement/ES/MINECO/PID2019-105674RB-I00$$9info:eu-repo/grantAgreement/ES/MINECO/RTI2018-093416-B-I00$$9info:eu-repo/grantAgreement/ES/MINECO/RTI2018-101193-B-I00$$9info:eu-repo/grantAgreement/ES/MINECO/SAF2017-88019-C3-3R$$9info:eu-repo/grantAgreement/ES/MINECO/SEV-2017-0718$$9info:eu-repo/grantAgreement/ES/MINECO/TIN2014-59932-JIN
000107329 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000107329 590__ $$a4.753$$b2020
000107329 591__ $$aCARDIAC & CARDIOVASCULAR SYSTEMS$$b45 / 141 = 0.319$$c2020$$dQ2$$eT1
000107329 592__ $$a0.455$$b2020
000107329 593__ $$aCardiology and Cardiovascular Medicine$$c2020$$dQ3
000107329 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000107329 700__ $$aCamara, O.
000107329 700__ $$aEchebarria, B.
000107329 700__ $$aGerardo Giorda, L.
000107329 700__ $$0(orcid)0000-0002-1960-407X$$aPueyo, E.$$uUniversidad de Zaragoza
000107329 700__ $$aSaiz, J.
000107329 700__ $$aSebastián, R.
000107329 700__ $$aSoudah, E.
000107329 700__ $$aVázquez, M.
000107329 7102_ $$15008$$2800$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Teoría Señal y Comunicac.
000107329 773__ $$g74, 1 (2020), 65-71$$pRev. esp. cardiol.$$tRevista Espanola de Cardiologia$$x0300-8932
000107329 8564_ $$s468244$$uhttps://zaguan.unizar.es/record/107329/files/texto_completo.pdf$$yPostprint
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000107329 951__ $$a2022-04-25-10:37:35
000107329 980__ $$aARTICLE