Saturday, 25 July 2026

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Health

Deep learning identifies ECG biomarker that predicts sudden cardiac death

Researchers used a deep-learning model trained on over 440,000 electrocardiograms to discover a biomarker that predicts sudden cardiac death more accurately than existing clinical methods. The finding, based on Swedish health records, could improve risk stratification and preventive interventions for millions at risk.

Nature.com · Wednesday, 24 June 2026

#sudden cardiac death#deep learning#ECG#biomarker#cardiovascular disease#medical research
Deep learning identifies ECG biomarker that predicts sudden cardiac death

A deep-learning model trained on electrocardiogram (ECG) waveforms identifies an easily visible biomarker that predicts sudden cardiac death more accurately than the current clinical state of the art.

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