Journal
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
Volume 378, Issue 2173, Pages -Publisher
ROYAL SOC
DOI: 10.1098/rsta.2019.0558
Keywords
simulation; cardiac; virtual patient cohorts; digital twin
Categories
Funding
- RF Government [211]
- RFBR [18-29-13008]
- EPSRC [EP/R014604/1, EP/P01268X/1, EP/M012492/1, NS/A000049/1, EP/R045046/1]
- BHF [PG/16/17/32069, SP/18/6/33805, PG/19/44/34368]
- National Institute for Health Research (NIHR) KCL Biomedical Research Centre
- MRC [MR/S015086/1]
- Rosetrees Trust [M577]
- CAPES
- CNPq
- FAPEMIG
- NIH [1R01HL143450-01]
- NSF [CMMI-1762553, CMMI-1762803]
- EPSRC [EP/M012492/1, EP/R045046/1, EP/R014604/1, EP/P01268X/1] Funding Source: UKRI
- MRC [MR/S015086/1] Funding Source: UKRI
- British Heart Foundation [SP/18/6/33805] Funding Source: researchfish
- Engineering and Physical Sciences Research Council [EP/R014604/1, EP/P01268X/1, EP/R045046/1, EP/M012492/1] Funding Source: researchfish
- Medical Research Council [MR/S015086/1] Funding Source: researchfish
- National Institute for Health Research [II-LB-1116-20001] Funding Source: researchfish
- National Institutes of Health Research (NIHR) [II-LB-1116-20001] Funding Source: National Institutes of Health Research (NIHR)
Ask authors/readers for more resources
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'.
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