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Last Posted: Dec 21, 2020

• Genetic Association between Hypoplastic Left Heart Syndrome and Cardiomyopathies.
  Theis Jeanne L et al. Circulation. Genomic and precision medicine 2020 Dec
• Assessing the Role of Rare Genetic Variation in Patients With Heart Failure.
  Povysil Gundula et al. JAMA cardiology 2020 Dec
• Genetic Contribution to Common Heart Failure—Not So Rare?
  EM McNally et al, JAMA Cardiology, December 15, 2020
• Clinical Evaluation of the Polygenetic Background of Blood Pressure in the Population-Based Setting.
  Giontella Alice et al. Hypertension (Dallas, Tex. : 1979) 2020 Nov HYPERTENSIONAHA12015449
• Machine Learning-Based Risk Assessment for Cancer Therapy-Related Cardiac Dysfunction in 4300 Longitudinal Oncology Patients.
  Zhou Yadi et al. Journal of the American Heart Association 2020 Nov e019628
• Machine learning vs. conventional statistical models for predicting heart failure readmission and mortality.
  Shin Sheojung et al. ESC heart failure 2020 Nov
• Sex differences in cardiovascular morbidity associated with familial hypercholesterolaemia: A retrospective cohort study of the UK Simon Broome register linked to national hospital records.
  Iyen Barbara et al. Atherosclerosis 2020 Oct
• Clinical and Genetic Investigations of 109 Index Patients With Dilated Cardiomyopathy and 445 of Their Relatives.
  Hey Thomas M et al. Circulation. Heart failure 2020 Oct CIRCHEARTFAILURE119006701
• Polygenic Score for Beta-Blocker Survival Benefit in European Ancestry Patients with Reduced Ejection Fraction Heart Failure.
  Lanfear David E et al. Circulation. Heart failure 2020 Oct
• A new index for multiple chronic conditions predicts functional outcome in ischemic stroke.
  Jiang Xiaqing et al. Neurology 2020 Oct
• Genetic study of pediatric hypertrophic cardiomyopathy in Egypt.
  Darwish Rania K et al. Cardiology in the young 2020 Oct 1-7
• Machine learning prediction in cardiovascular diseases: a meta-analysis.
  Krittanawong Chayakrit et al. Scientific reports 2020 Sep 10(1) 16057
• Machine Learning Outcome Prediction in Dilated Cardiomyopathy Using Regional Left Ventricular Multiparametric Strain.
  MacGregor Robert M et al. Annals of biomedical engineering 2020 Oct
• Artificial Intelligence-Enabled ECG Algorithm to Identify Patients With Left Ventricular Systolic Dysfunction Presenting to the Emergency Department With Dyspnea.
  Adedinsewo Demilade et al. Circulation. Arrhythmia and electrophysiology 2020 Aug 13(8) e008437
• Application of machine learning to the prediction of postoperative sepsis after appendectomy.
  Bunn Corinne et al. Surgery 2020 Sep