Article

Synergistic Biophysics and Machine Learning Modeling to Rapidly Predict Cardiac Growth Probability

2024-07-22

Abstract excerpt

<h4> A bstract </h4> Computational models that can predict growth and remodeling of the heart could have important clinical applications. However, the time it takes to calibrate and run current models while considering data uncertainty and variability makes them impractical for routine clinical use. This study aims to address this need by creating a computational framework to efficiently predict cardiac growth...

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Literature Corpus work: 184a002b-9f6c-53f4-b1b9-3a8a24b2da4a
DOI: 10.1101/2024.07.17.603959

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