An In Silico Head-to-Head Comparison of the Do-It-Yourself Artificial Pancreas Loop and Bio-Inspired Artificial Pancreas Control Algorithms.

Ryan ArmigerMonika ReddyNick S OliverPantelis GeorgiouPau Herrero-Viñas

Published in: Journal of diabetes science and technology (2021)

Both Loop and BiAP algorithms are safe and improve glycemic control when compared, in silico, with Basal-IQ. However, BiAP appears significantly more robust to real-world challenges by outperforming Loop and Basal-IQ in the more challenging scenario.

Keyphrases

glycemic control
machine learning
type diabetes
transcription factor
molecular docking
optic nerve
deep learning
blood glucose
weight loss
molecular dynamics simulations