This study trials a prototype artificial pancreas system that consists of a Roche insulin pump, a Dexcom continuous glucose monitor (CGM), and an experiential MMPPC (multiple model probabilistic predictive control) algorithm housed on an android cell phone. The system doses insulin based on CGM sensor glucose levels and the experimental algorithm. The algorithm runs through a glucose control platform called the DiAs (Diabetes Assistant)~The aim of this study is to determine the safety and feasibility of the MMPPC controller in adults and adolescents with type 1 diabetes testing the use of predefined tuning parameters to provide adaptability to patient. We will assess the safety of the system with both unannounced meals, and meals using a meal announcement with a premeal insulin bolus based on the subject's estimated carbohydrate content of the meal
This study trials a prototype artificial pancreas system that consists of a Roche insulin pump, a Dexcom continuous glucose monitor (CGM), and an experiential MMPPC (multiple model probabilistic predictive control) algorithm housed on an android cell phone. The system doses insulin based on CGM sensor glucose levels and the experimental algorithm.~The aim of this clinical study is to determine the efficacy of the MMPPC controller in adolescents and adults with type 1 diabetes in a hotel setting.