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<rss version="2.0"><channel><title>An ECG biomarker for sudden cardiac death discovered with deep learning — Live Feed</title><link>https://www.live-feeds.com/feed/an-ecg-biomarker-for-sudden-cardiac-death-discovered-with-deep-learning</link><atom:link xmlns:atom="http://www.w3.org/2005/Atom" href="https://www.live-feeds.com/feed/an-ecg-biomarker-for-sudden-cardiac-death-discovered-with-deep-learning/rss.xml" rel="self" type="application/rss+xml"/><description>Continuously updated, source-cited coverage.</description>
<item><title>AI Discovers New ECG Biomarker for Sudden Cardiac Death Risk</title><link>https://www.live-feeds.com/feed/an-ecg-biomarker-for-sudden-cardiac-death-discovered-with-deep-learning</link><guid isPermaLink="false">https://www.live-feeds.com/feed/an-ecg-biomarker-for-sudden-cardiac-death-discovered-with-deep-learning#u19023</guid><pubDate>Tue, 30 Jun 2026 16:05:28 +0000</pubDate><description>Researchers led by UC Berkeley used a deep learning model to identify a previously unknown ECG biomarker for sudden cardiac death. The system detects a slurred downstroke after the R-peak in routine ECGs that doctors previously cleared as normal. This tool could help identify thousands more high-risk patients annually who may require internal defibrillators.What's confirmed:UC Berkeley researchers developed an AI model that identifies a hidden ECG signal to predict sudden cardiac death.The deep learning model identifies a slurred downstroke after the R-peak as a biomarker for sudden cardiac de</description></item>
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