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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

The acidic environment of the stomach may facilitate initial PCs release from food matrices but can also degrade certain oligomers, reducing their structural integrity and bioavailability

Typical usage in research settings is once-weekly injections by subcutaneous route

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