Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/90624
Title: Creation and application of virtual patient cohorts of heart models
Authors: Niederer, S. A.
Aboelkassem, Y.
Cantwell, C. D.
Corrado, C.
Coveney, S.
Cherry, E. M.
Delhaas, T.
Fenton, F. H.
Panfilov, A. V.
Pathmanathan, P.
Plank, G.
Riabiz, M.
Roney, C. H.
Dos, Santos, R. W.
Wang, L.
Issue Date: 2020
Publisher: NLM (Medline)
Citation: Creation and application of virtual patient cohorts of heart models / S. A. Niederer, Y. Aboelkassem, C. D. Cantwell, C. Corrado, et al. . — DOI 10.1098/rsta.2019.0558 // Philosophical transactions. Series A, Mathematical, physical, and engineering sciences. — 2020. — Vol. 2173. — Iss. 378. — P. 20190558-.
Abstract: Patient-specific cardiac models are now being used to guide therapies. The increased use of patient-specific cardiac simulations in clinical care will give rise to the development of virtual cohorts of cardiac models. These cohorts will allow cardiac simulations to capture and quantify inter-patient variability. However, the development of virtual cohorts of cardiac models will require the transformation of cardiac modelling from small numbers of bespoke models to robust and rapid workflows that can create large numbers of models. In this review, we describe the state of the art in virtual cohorts of cardiac models, the process of creating virtual cohorts of cardiac models, and how to generate the individual cohort member models, followed by a discussion of the potential and future applications of virtual cohorts of cardiac models. This article is part of the theme issue 'Uncertainty quantification in cardiac and cardiovascular modelling and simulation'.
Keywords: CARDIAC
DIGITAL TWIN
SIMULATION
VIRTUAL PATIENT COHORTS
ADULT
ARTICLE
COHORT ANALYSIS
FEMALE
HEART
HUMAN
MALE
SENSITIVITY ANALYSIS
SIMULATION
UNCERTAINTY
WORKFLOW
URI: http://elar.urfu.ru/handle/10995/90624
Access: info:eu-repo/semantics/openAccess
cc-by
SCOPUS ID: 85085444742
WOS ID: 000537137000003
PURE ID: 12906804
ISSN: 1471-2962
DOI: 10.1098/rsta.2019.0558
Appears in Collections:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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