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Non–High-Density Lipoprotein Cholesterol Levels From Childhood to Adulthood and Cardiovascular Disease Events, , , , , , , , , and 5 other author(s). (2024)Metabolomics in the prediction of prodromal stages of carotid artery disease using a hybrid ML algorithm., , , , , , and . BHI, page 1-4. IEEE, (2022)Effects of Beta Blocker Therapy on RR Interval Correlations During Exercise., , , , , , , , , and . CinC, page 1-4. IEEE, (2023)Development of a Research Dedicated Archival System (TARAS) in a University Hospital., , , , , , , , and . J. Digital Imaging, 24 (5): 864-873 (2011)Novel loci for childhood body mass index and shared heritability with adult cardiometabolic traits, , , , , , , , , and 136 other author(s). PLOS Genetics, 16 (10): 1-26 (October 2020)Assessing multivariate gene-metabolome associations with rare variants using Bayesian reduced rank regression., , , , , , , , , and 8 other author(s). Bioinform., 30 (14): 2026-2034 (2014)Model selection for metabolomics: predicting diagnosis of coronary artery disease using automated machine learning., , , , , , , , , and 2 other author(s). Bioinform., 36 (6): 1772-1778 (2020)Genetic and environmental perturbations lead to regulatory decoherence, , , , , , , , , and 1 other author(s). Elife, (2019)Comparing the Efficacy of Electrocardiographic Leads in Recovery Phase in Detecting Coronary Artery Disease in Women., , , , and . CinC, page 1-4. IEEE, (2022)