Abstract: A method, system, and computer-readable medium are provided for an Automated Insulin Delivery (AID) system in which Model Predictive Control (MPC) thereof implements weighting of glucose target error relative to corresponding predicted blood glucose (BG) levels according to insulin on board (IOB). Accordingly, basal insulin infusion and available additional bolusing each in connection with glycemic disturbances such as unannounced meals can be proximally administered to maintain time in range (TIR) without incurring insulin stacking.

Abstract: Embodiments can relate to systems and methods for automatically detecting sensor compression in continuous glucose monitoring in real time. A system may include at least one sensor and at least one processor in communication with the at least one sensor. The at least one processor is programmed or configured to cause the processor to retrieve first measurement data including at least one time series of blood glucose (BG) measurements, the at least one time series being measured by the at least one sensor while not subject to compression; receive, from the at least one sensor, second measurement data including at least one BG measurement; determine a clearance value between BG measurements based on the first measurement data and the second measurement data; and generate a signal output indicating that the at least one sensor is subject to compression based on the clearance value between BG measurements exceeding a predefined threshold.