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10.2164/jandrol.107.003020 130 RudzkiM

Using these differentially expressed metabolites as features, an integrated LCMS and machine learning (ML) approach demonstrated that a logistic regression (LR) model achieved optimal performance in classifying serum samples (AUC = 0.933), indicating its strong power to distinguish SLE from other autoimmune diseases (ADs) [45]

Preventive Health : Early detection of abnormal ALT levels can lead to early intervention, preventing further liver damage

Treatment of inflammatory bowel disease: A comprehensive review

Pathophysiology of sickle cell disease is mirrored by the red blood cell metabolome