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Nrf2, nuclear factor erythroid-2-related factor 2
In the trial-product estimand analysis (accounting for treatment adherence), reductions reached 22.7% and 2.3%, respectively, corresponding to an absolute weight loss of -21.6 kg with combination therapy
To overcome this, single-molecule sequencing methods like PacBio SMRT sequencing can be employed
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
Every published Protide result is searchable in the COA library and can also be viewed in the test results archive
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