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Artificial intelligence predicts the progression of diabetic kidney disease using big data machine learning

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In a study of 3596 patients (20% males, mean age 43.5 years) receiving sleeve gastrectomy or Roux-en-Y gastric bypass surgery followed for 3-years it was found that the highest rate of loss in FFM occurred at 3- and 6-months (57% and 78% of peak loss) post-surgery, with higher preoperative BMI one of the key factors associated with greater FFM loss [11]

Almost 40% of patients taking second-line diabetes drugs stop treatment, but this number is even higher (50%) among those taking GLP-1s