Computational models in cardiology
Year: 2018
Type: review
Source: Nature Reviews Cardiology
Language: English
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: green
Funders: National Institute for Health and Care Research, British Heart Foundation, King's College London, Fondation Leducq, ZonMw, King's Health Partners, Nederlandse Organisatie voor Wetenschappelijk Onderzoek, National Institutes of Health, Engineering and Physical Sciences Research Council, National Heart, Lung, and Blood Institute
Awards: G1172171085, G1251496372, Exploration of Arrhythmogenic Triggers and Substrates in Heart Failure, G1822816371, Personalised Model Based Optimal Lead Guidance in Cardiac Resynchronisation Therapy, Virtual Electrophysiology Laboratory, Uncertainty Quantification in Prospective and Predictive Patient Specific Cardiac Models, G3773670102, G3781100287, Infarct-related Ventricular Tachycardia Mechanisms: From Micro to Clinical, G6562481342, Implications of Intra-Myocardial Fat Deposition upon Propensity for Malignant Arrhythmia, The role of scar morphology and location in arrhythmogenic risk following cardiac resynchronisation therapy in patients with ischaemic heart disease, The interdependence of anatomy and function in atrial fibrillation, Simulation Guidance of Ablation Therapy for Persistent Atrial Fibrillation, G7650934720, ANCILLARY STUDY OF SUBSTRATE AND INTERVENTION MECHANISMS FOR MALIGNANT ARRHYTHMIA, G8706380018, Image optimization and guidance for next generation wireless endocardial cardiac resynchronisation therapy.
OpenAlex ID: W2898458682