Insulin Delivery With Self-Adjusting Closed-Loop and Behavioral Glycemic Control Enhanced by Prediction (INSIGHT)
This study is a randomized cross-over trial comparing AIDANET with Anticipation to AIDANET in FCL without Anticipation. Participants will complete 4 weeks of AID data collection which will be used to establish baseline and initialize the control algorithm. Participants will then be randomized to one of two groups: Group A: AIDANET in FCL with Anticipation (AIDANET+ACL), and Group B: AIDANET in FCL without Anticipation (AIDANET+FCL). The study duration of each group is 4 weeks each. The order of these two phases will be dependent upon randomization.
A Randomized Parallel Clinical Trial of AIDANET, an Automated Insulin Delivery Algorithm, in Fully Closed-Loop Vs Hybrid Closed-Loop Mode In Adults With Type 1 Diabetes (AIDANET At Home)
Adaptation of Insulin Delivery Settings to Improve Clinical Outcomes With AID Use
Effectiveness of Artificial-Intelligence (AI) Bolus Priming Added to an Existing Fully Automated Control Algorithm (AIDANET)