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Combined with machine learning, a total of ten metabolites were identified to characterize metabolic properties of uterine fibroids

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This includes a complete metabolic panel, fasting insulin, HbA1c, fasting glucose, lipid panel (complete with LDL particle count if available), IGF-1, growth hormone levels (random and stimulated if possible), liver enzymes (ALT, AST, GGT), kidney function markers (creatinine, BUN, eGFR), complete blood count, and thyroid panel