Key result
Virtual cardiac cohorts capture inter-patient variability to enable future in silico trials and device testing.
Why the study?
The clinical use of patient-specific cardiac simulations requires developing virtual cohorts to capture inter-patient variability, necessitating a shift from small numbers of bespoke models to robust, rapid workflows that generate large numbers of models.
The development and industrialization of virtual patient cohorts represent a critical advancement toward integrating biophysical cardiac modeling into routine clinical workflows and trial design.
May support future virtual trials and therapy guidance in cardiac models; leaves open prospective validation before clinical adoption.
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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Niederer et al. (2020) conducted a review in Cardiovascular diseases (computational modeling). Virtual patient cohorts of cardiac models was evaluated. Virtual cohorts of cardiac models are being developed to capture inter-patient variability, enabling future applications in virtual clinical trials, therapy guidance, and medical device evaluation.
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