doi:10.1093/eurheartj/ehaa159engCorral-Acero, J.Margara, F.Marciniak, M.Rodero, C.Loncaric, F.Feng, Y.Gilbert, A.Fernandes, J.F.Bukhari, H.A.Wajdan, A.Martinez, M.V.Santos, M.S.Shamohammdi, M.Luo, H.Westphal, P.Leeson, P.DiAchille, P.Gurev, V.Mayr, M.Geris, L.Pathmanathan, P.Morrison, T.Cornelussen, R.Prinzen, F.Delhaas, T.Doltra, A.Sitges, M.Vigmond, E.J.Zacur, E.Grau, V.Rodriguez, B.Remme, E.W.Niederer, S.Mortier, P.McLeod, K.Potse, M.Pueyo, E.Bueno-Orovio, A.Lamata, P.The ''Digital Twin'' to enable the vision of precision cardiologyART-2020-122375Providing therapies tailored to each patient is the vision of precision medicine, enabled by the increasing ability to capture extensive data about individual patients. In this position paper, we argue that the second enabling pillar towards this vision is the increasing power of computers and algorithms to learn, reason, and build the ''digital twin'' of a patient. Computational models are boosting the capacity to draw diagnosis and prognosis, and future treatments will be tailored not only to current health status and data, but also to an accurate projection of the pathways to restore health by model predictions. The early steps of the digital twin in the area of cardiovascular medicine are reviewed in this article, together with a discussion of the challenges and opportunities ahead. We emphasize the synergies between mechanistic and statistical models in accelerating cardiovascular research and enabling the vision of precision medicine.2020http://zaguan.unizar.es/record/9906910.1093/eurheartj/ehaa159http://zaguan.unizar.es/record/99069oai:zaguan.unizar.es:99069info:eu-repo/grantAgreement/EC/H2020/675451/EU/A Centre of Excellence in Computational Biomedicine/CompBioMedThis project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 675451-CompBioMedinfo:eu-repo/grantAgreement/EC/H2020/764738/EU/Personalised In-Silico Cardiology/PICThis project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 764738-PICinfo:eu-repo/grantAgreement/EC/H2020/766082/EU/MultidisciplinarY training network for ATrial fibRillation monItoring, treAtment and progression/MY-ATRIAThis project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 766082-MY-ATRIAinfo:eu-repo/grantAgreement/EC/H2020/823712/EU/A Centre of Excellence in Computational Biomedicine/CompBioMed2This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 823712-CompBioMed2European heart journal 41, 48 (2020), 4556-4564byhttp://creativecommons.org/licenses/by/3.0/es/info:eu-repo/semantics/openAccess