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Real world federated learning with a knowledge distilled transformer for cardiac CT imaging
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Cardiac repair using regenerating neonatal heart tissue-derived extracellular vesicles
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Clinical impact of direct rotational atherectomy in patients with complex coronary artery lesions
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Genetic advancements in breast cancer treatment: a review
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Sex differences in murine MASH induced by a fructose-palmitate-cholesterol-enriched diet
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CCL21-CCR7 blockade prevents neuroinflammation and degeneration in Parkinson’s disease models
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Patients with chronic heart failure and predominant left atrial versus left ventricular myopathy
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Prediction of cardiovascular disease from factors associated with waist hip ratio by machine learning
Published 2024-04-01“…The study uses Random Forest (RF) machine learning to identify characteristics that affect WHR, an indication of CVD. Isfahan Cardiovascular Research Centre in Iran provided the dataset, which includes sex, family history, diabetes, WHR, smoking, systolic blood pressure, and total cholesterol. …”
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