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2.9 Machine Learning-Based Gene Selection To further refine key DEGs, three complementary machine learning algorithms were applied, including LASSO regression ( glmnet package), Boruta feature selection ( Boruta package), and Extreme Gradient Boosting (XGBoost

Research shows that semaglutide users often lose 1015% of body weight in the first year, then experience a plateau lasting weeks or months

While these genetic insights primarily shape dose recommendations, they may also inform your provider's guidance on optimal injection timing and your individual tolerance profile

Rea MC, Dobson A, OSullivan O et al (2011) Effect of broad- and narrow-spectrum antimicrobials on Clostridium difficile and microbial diversity in a model of the distal colon