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-based prediction and design of new, low-dimensional magnetoelectric materials. Low-dimensional materials are highly desirable for efficient device integration, and the intrinsic coupling between electric
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applications, specifically targeting the prognosis and risk prediction of Heart Failure (HF) in patients. This research integrates AI safety, explainability, and multimodal medical data analysis to enhance
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