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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.
By American College of Cardiology4.2
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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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