Performance of the MiniMed 780G system on mitigating menstrual cycle-dependent glycaemic variability.

Yasmine Ibrahim ElhenawyMohamed S Abdel KaderRasha A Thabet

Published in: Diabetes, obesity & metabolism (2024)

The fully automated adaptive algorithm of the MiniMed 780G system mitigated menstrual cycle-dependent glycaemic variability, successfully attaining the recommended glycaemic outcomes with a TIR greater than 70% throughout the entire menstrual cycle.

Keyphrases

type diabetes
machine learning
deep learning
high throughput
glycemic control
skeletal muscle
neural network