Article

Genetic underpinnings of predicted changes in cardiovascular function using self supervised learning

2024-08-21

Abstract excerpt

<h4>Background</h4> The genetic underpinnings of cardiovascular disease remain elusive. Contrastive learning algorithms have recently shown cutting-edge performance in extracting representations from electrocardiogram (ECG) signals that characterize cross-temporal cardiovascular state. However, there is currently no connection between these representations and genetics. <h4>Methods</h4> We designed a new metric,...

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Literature Corpus work: a2d1857d-a68e-5400-82c9-097f215e6af4
DOI: 10.1101/2024.08.15.608061

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