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Probabilistic Cardiac Digital Twins for Robust Patient-Specific Modeling

2026-05-12

Abstract excerpt

Uncertainty quantification (UQ) in computational heart models is essential for reliable cardiac digital twins (DTs) in personalized medicine, yet remains challenging. Traditional Monte Carlo and stochastic Galerkin methods often become impractical in the high-dimensional, nonlinear state variable and parameter spaces of cardiac electrophysiology and mechanics. This article introduces a framework for learning a joi...

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Literature Corpus work
0ec47b65-b942-5fc7-a46d-6908b398cd1b
DOI
10.64898/2026.05.07.723610
Open publication

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