That gap, between the strong real-world signal and the quieter trial data, is where the science sits right now
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Use of modern medicine / technology
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
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Keto, particularly in its restrictive early phase, can also trigger hair shedding through micronutrient deficiencies, specifically inadequate zinc, biotin, and iron