{"id":8727,"date":"2026-02-23T18:41:33","date_gmt":"2026-02-23T10:41:33","guid":{"rendered":"https:\/\/cphn.tmu.edu.tw\/%e4%b8%ad-eng-%e3%80%90%e6%bc%94%e8%ac%9b%e5%85%ac%e5%91%8aspeech-note%ef%bc%9amarch-2026%e3%80%91%e3%80%8c%e5%85%ac%e5%85%b1%e8%a1%9b%e7%94%9f%e8%88%87%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd%e8%ab%96\/"},"modified":"2026-02-23T18:42:23","modified_gmt":"2026-02-23T10:42:23","slug":"%e4%b8%ad-eng-%e3%80%90%e6%bc%94%e8%ac%9b%e5%85%ac%e5%91%8aspeech-note%ef%bc%9amarch-2026%e3%80%91%e3%80%8c%e5%85%ac%e5%85%b1%e8%a1%9b%e7%94%9f%e8%88%87%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd%e8%ab%96","status":"publish","type":"post","link":"https:\/\/cphn.tmu.edu.tw\/en\/%e4%b8%ad-eng-%e3%80%90%e6%bc%94%e8%ac%9b%e5%85%ac%e5%91%8aspeech-note%ef%bc%9amarch-2026%e3%80%91%e3%80%8c%e5%85%ac%e5%85%b1%e8%a1%9b%e7%94%9f%e8%88%87%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd%e8%ab%96\/","title":{"rendered":"\u3010Speech Note\uff1aMarch. 2026\u3011\u300cPublic Health &#038; AI Forum\u300d"},"content":{"rendered":"<p><img decoding=\"async\" src=\"https:\/\/mail.google.com\/mail\/u\/0?ui=2&amp;ik=e968c4eda0&amp;attid=0.1&amp;permmsgid=msg-a:r662185635136988161&amp;th=19c8a0d33491470b&amp;view=fimg&amp;fur=ip&amp;permmsgid=msg-a:r662185635136988161&amp;sz=s0-l75-ft&amp;attbid=ANGjdJ_yIqFfngXqW8ETVKPNwQM-i6n38SY5xqn1ZxP0ZRieT0uv_vWgMjsS3k9b1XzscjAePXc4qW9PzgeKqCJGyhFnzHIlj0kua0NhSeOhMeuKkM4IL7Tu9tBu8FM&amp;disp=emb&amp;realattid=ii_mlz1bjix0&amp;zw\" alt=\"image\" \/><\/p>\n<h1>&#8211;\u00a0 Information-<\/h1>\n<h3>Topic\uff1aEfficient deep learning for rapid, interpretable detection of deadly arrhythmias in ECG data: A foundation-model perspective.<\/h3>\n<h3>Speaker\uff1aProf. Jean-Daniel Zucker( Sorbonne University)<\/h3>\n<h3>Date\uff1a2026\/03\/04(W3)<\/h3>\n<h3>Time\uff1a12:00~ 13:10<\/h3>\n<h3>Venue\uff1ai-Public Health<\/h3>\n<h3>Language\uff1aEnglish<\/h3>\n<h3><strong>Link\uff1ahttps:\/\/forms.gle\/fTBhMpfFvK8HZ3Ft9<\/strong><\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"\" src=\"https:\/\/mail.google.com\/mail\/u\/0?ui=2&amp;ik=e968c4eda0&amp;attid=0.2&amp;permmsgid=msg-a:r662185635136988161&amp;th=19c8a0d33491470b&amp;view=fimg&amp;fur=ip&amp;permmsgid=msg-a:r662185635136988161&amp;sz=s0-l75-ft&amp;attbid=ANGjdJ8diEWTf0YGzszyjTrsOZGSaZ6Kn287fUUWLsrZs2ujkpXByVKjP6Su6bHFbbckDx2I6Be-nrsy7sgk5N2Ms_6tdt-SGpeUlxz23fm7Xi4Pk2ct30PwV-0HESI&amp;disp=emb&amp;realattid=ii_mlz1bjiy1&amp;zw\" alt=\"image\" width=\"552\" height=\"777\" \/><\/p>\n","protected":false},"excerpt":{"rendered":"<p>&#8211;\u00a0 Information- Topic\uff1aEfficient deep learning for rapid, interpretable detection of deadly arrhythmias in ECG data: A foundation-model perspective. Speaker\uff1aProf. Jean-Daniel Zucker( Sorbonne University) Date\uff1a2026\/03\/04(W3) Time\uff1a12:00~ 13:10 Venue\uff1ai-Public Health Language\uff1aEnglish Link\uff1ahttps:\/\/forms.gle\/fTBhMpfFvK8HZ3Ft9<\/p>\n","protected":false},"author":20,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[131,134],"tags":[],"class_list":["post-8727","post","type-post","status-publish","format-standard","hentry","category--en"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>\u3010Speech Note\uff1aMarch. 2026\u3011\u300cPublic Health &amp; AI Forum\u300d - \u5317\u91ab \u516c\u5171\u885b\u751f\u5b78\u9662<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/cphn.tmu.edu.tw\/en\/%e4%b8%ad-eng-%e3%80%90%e6%bc%94%e8%ac%9b%e5%85%ac%e5%91%8aspeech-note%ef%bc%9amarch-2026%e3%80%91%e3%80%8c%e5%85%ac%e5%85%b1%e8%a1%9b%e7%94%9f%e8%88%87%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd%e8%ab%96\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u3010Speech Note\uff1aMarch. 2026\u3011\u300cPublic Health &amp; AI Forum\u300d - \u5317\u91ab \u516c\u5171\u885b\u751f\u5b78\u9662\" \/>\n<meta property=\"og:description\" content=\"&#8211;\u00a0 Information- Topic\uff1aEfficient deep learning for rapid, interpretable detection of deadly arrhythmias in ECG data: A foundation-model perspective. 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