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Creation and application of virtual patient cohorts of heart models.
File(s)
rsta.2019.0558.pdf (424.14 KB)
Published version
OA Location
Author(s)
Niederer, SA
Aboelkassem, Y
Cantwell, CD
Corrado, C
Coveney, S
Type
Journal Article
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'.
Date Issued
2020-06-12
Date Acceptance
2020-03-06
Citation
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2020, 378 (2173), pp.1-20
URI
URL
DOI
ISSN
1364-503X
Publisher
Royal Society, The
Start Page
1
End Page
20
Journal / Book Title
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
Volume
378
Issue
2173
Copyright Statement
© 2020 The Authors. Published by the Royal Society under the terms of the
Creative Commons Attribution License http://creativecommons.org/licenses/
by/4.0/, which permits unrestricted use, provided the original author and
source are credited.
Sponsor
Rosetrees Trust
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/32448064
Grant Number
A1173/ M577
Subjects
cardiac
digital twin
simulation
virtual patient cohorts
Publication Status
Published
Coverage Spatial
England
Date Publish Online
2020-05-25