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Predicting Long-term Clinical Outcomes of Patients with Recurrent Pericarditis
Manage episode 440228389 series 180467
Contenido proporcionado por American College of Cardiology. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente American College of Cardiology o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
In the September 24, 2024, issue of JACC, Dr. Abdullah Yashin Yaprak and his team at Cleveland Clinic unveil a groundbreaking risk prediction model for recurrent pericarditis using machine learning. Their study, analyzing data from 365 patients, offers a novel tool to stratify patients based on their likelihood of achieving clinical remission, showcasing the promising intersection of AI and personalized medicine in cardiology.
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Manage episode 440228389 series 180467
Contenido proporcionado por American College of Cardiology. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente American College of Cardiology o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
In the September 24, 2024, issue of JACC, Dr. Abdullah Yashin Yaprak and his team at Cleveland Clinic unveil a groundbreaking risk prediction model for recurrent pericarditis using machine learning. Their study, analyzing data from 365 patients, offers a novel tool to stratify patients based on their likelihood of achieving clinical remission, showcasing the promising intersection of AI and personalized medicine in cardiology.
3285 episodios
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Similar a JACC Podcast
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…
continue reading
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…
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…
continue reading
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