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Summary Keywords machine learning, predicting, carnitine supplementation, body weight, polycystic ovary syndrome Citation Wang D-D, Li Y-F, Mao Y-Z, He S-M, Zhu P and Wei Q-L (2022) A machine-learning approach for predicting the effect of carnitine supplementation on body weight in patients with polycystic ovary syndrome

A structured approach to antioxidant-based therapies focuses on efficacy, safety, and synergistic combinations, providing a comprehensive strategy to protect the BBB, reduce neuronal damage, and effectively combat neurodegenerative diseases

Multifunctional 3D-printed wound dressings

Silymarin, a molecule of interest for topical photoprotection

Effects of supplementing methionine hydroxy analog on beef cow performance, milk production, reproduction, and preweaning calf performance