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Cancer treatments have improved substantially over the past decades, but some effective therapies such as anthracyclines and HER2-targeted agents are associated with severe cardiovascular adverse effects, including heart failure. Existing cardiovascular risk prediction scores have limited evidence in this setting. The ML-CardioTox study is a prospective, multicenter, observational cohort conducted in 15 centers in France. The primary objective is to develop a one-year prediction score for cancer therapy-related cardiotoxicity using machine learning methods. A dedicated software platform will be used to standardize data collection and support integration of artificial intelligence tools. A total of 600 patients treated with anthracyclines or HER2-targeted therapies in cardio-oncology clinics will be enrolled over a one-year inclusion period starting in December 2024, with a 12-month fol
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