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Electrocardiogram-based artificial intelligence to predict incident heart failure risk
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Predicting recurrence and outcomes after triggered atrial fibrillation using deep learning
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Associations of catch-up sleep pattern with cardiovascular outcomes and incident disease risk across the phenome
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Exome sequencing in over 63,000 patients in TIMI trials uncovers pathogenic cardiomyopathy variant carriers with high risk for heart failure and cardiovascular death
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Electrocardiogram-based artificial intelligence to identify prevalent coronary artery disease
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Assessment of aortic valve function in over 47,000 people using deep learning
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A comprehensive analysis of 30 Biomarkers and their association with cardiovascular outcomes and mortality in the UK Biobank
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Eligibility for early rhythm control in the general population and relation to outcomes in the UK Biobank
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