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dc.contributor.authorNiederer, S. A.en
dc.contributor.authorAboelkassem, Y.en
dc.contributor.authorCantwell, C. D.en
dc.contributor.authorCorrado, C.en
dc.contributor.authorCoveney, S.en
dc.contributor.authorCherry, E. M.en
dc.contributor.authorDelhaas, T.en
dc.contributor.authorFenton, F. H.en
dc.contributor.authorPanfilov, A. V.en
dc.contributor.authorPathmanathan, P.en
dc.contributor.authorPlank, G.en
dc.contributor.authorRiabiz, M.en
dc.contributor.authorRoney, C. H.en
dc.contributor.authorDos, Santos, R. W.en
dc.contributor.authorWang, L.en
dc.date.accessioned2020-09-29T09:48:09Z-
dc.date.available2020-09-29T09:48:09Z-
dc.date.issued2020-
dc.identifier.citationCreation 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-.en
dc.identifier.issn1471-2962-
dc.identifier.otherhttps://royalsocietypublishing.org/doi/pdf/10.1098/rsta.2019.0558pdf
dc.identifier.other1good_DOI
dc.identifier.other11b07bee-e451-4023-870b-aa08e1a585b4pure_uuid
dc.identifier.otherhttp://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=85085444742m
dc.identifier.urihttp://elar.urfu.ru/handle/10995/90624-
dc.description.abstractPatient-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'.en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherNLM (Medline)en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.rightscc-byother
dc.sourcePhilosophical transactions. Series A, Mathematical, physical, and engineering sciencesen
dc.subjectCARDIACen
dc.subjectDIGITAL TWINen
dc.subjectSIMULATIONen
dc.subjectVIRTUAL PATIENT COHORTSen
dc.subjectADULTen
dc.subjectARTICLEen
dc.subjectCOHORT ANALYSISen
dc.subjectFEMALEen
dc.subjectHEARTen
dc.subjectHUMANen
dc.subjectMALEen
dc.subjectSENSITIVITY ANALYSISen
dc.subjectSIMULATIONen
dc.subjectUNCERTAINTYen
dc.subjectWORKFLOWen
dc.titleCreation and application of virtual patient cohorts of heart modelsen
dc.typeArticleen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.1098/rsta.2019.0558-
dc.identifier.scopus85085444742-
local.affiliationKing's College London, London, United Kingdomen
local.affiliationUniversity of California San Diego, La Jolla, CA, United Statesen
local.affiliationImperial College London, London, United Kingdomen
local.affiliationUniversity of Sheffield, Sheffield, United Kingdomen
local.affiliationGeorgia Institute of Technology, Atlanta, United Statesen
local.affiliationMaastricht University, Maastricht, Netherlandsen
local.affiliationGhent University, Gent, Belgiumen
local.affiliationLaboratory of Computational Biology and Medicine, Ural Federal University, Ekaterinburg, Russian Federationen
local.affiliationCenter for Devices and Radiological Health, MD, Rockville, United Statesen
local.affiliationMedical University of Graz, Graz, Austriaen
local.affiliationUniversidade Federal de Juiz de Fora, Juiz de Fora, Brazilen
local.affiliationRochester Institute of Technology, NY, United Statesen
local.contributor.employeeNiederer, S.A., King's College London, London, United Kingdomru
local.contributor.employeeAboelkassem, Y., University of California San Diego, La Jolla, CA, United Statesru
local.contributor.employeeCantwell, C.D., Imperial College London, London, United Kingdomru
local.contributor.employeeCorrado, C., King's College London, London, United Kingdomru
local.contributor.employeeCoveney, S., University of Sheffield, Sheffield, United Kingdomru
local.contributor.employeeCherry, E.M., Georgia Institute of Technology, Atlanta, United Statesru
local.contributor.employeeDelhaas, T., Maastricht University, Maastricht, Netherlandsru
local.contributor.employeeFenton, F.H., Georgia Institute of Technology, Atlanta, United Statesru
local.contributor.employeePanfilov, A.V., Ghent University, Gent, Belgium, Laboratory of Computational Biology and Medicine, Ural Federal University, Ekaterinburg, Russian Federationru
local.contributor.employeePathmanathan, P., Center for Devices and Radiological Health, MD, Rockville, United Statesru
local.contributor.employeePlank, G., Medical University of Graz, Graz, Austriaru
local.contributor.employeeRiabiz, M., King's College London, London, United Kingdomru
local.contributor.employeeRoney, C.H., King's College London, London, United Kingdomru
local.contributor.employeeDos Santos, R.W., Universidade Federal de Juiz de Fora, Juiz de Fora, Brazilru
local.contributor.employeeWang, L., Rochester Institute of Technology, NY, United Statesru
local.description.firstpage20190558-
local.issue378-
local.volume2173-
dc.identifier.wos000537137000003-
local.identifier.pure12906804-
local.identifier.eid2-s2.0-85085444742-
local.identifier.wosWOS:000537137000003-
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