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Predicting Long-term Clinical Outcomes of Patients with Recurrent Pericarditis
Manage episode 440228389 series 180467
Content provided by American College of Cardiology. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by American College of Cardiology or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://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
Content provided by American College of Cardiology. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by American College of Cardiology or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://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 episodes
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Similar to JACC Podcast
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