Creation and application of virtual patient cohorts of heart models

Creation and application of virtual patient cohorts of heart models

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...

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Bibliographic Details
Published in:Philosophical transactions of the Royal Society of London. Series A: Mathematical, physical, and engineering sciences physical, and engineering sciences, 2020-06, Vol.378 (2173), p.20190558-20190558
Main 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
Format: Article
Language:eng
Subjects:
Cohort Studies
Computational Biology
Humans
Machine Learning
Models, Cardiovascular
Patient-Specific Modeling
Review
User-Computer Interface
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Summary: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'.
ISSN:1364-503X
1471-2962