Intensive glycemic control in type 1 diabetes has been shown to reduce the incidence and progression of microvascular and macrovascular complications. 1,2 One validated way to improve glycemic control is the use of insulin pumps and/or continuous glucose monitors (CGMs). 3-5 However, many patients do not wear or manage the devices optimally 6-9 and clinical penetration is far from complete, even in the top clinical centers. 10 The limited and/or suboptimal use of diabetes technology can be traced, in part, to the "hassle factor," the substantial degree of time, effort, patience, and appropriate decision-making that are required to monitor, operate, and maintain the devices. Thus, systems that automatically modify insulin delivery based on glucose data could facilitate more effective glycemic management, better quality of life, and wider use of diabetes technologies. Such a partially or fully closed-loop system, often referred to as an artificial pancreas (AP), could also lower the risk of acute hypoglycemia by reducing insulin delivery based on the prediction of the control algorithm. Developing an AP has been identified as a priority by both patient advocacy organizations 11 and federal health agencies. 12 However, for an automated system to improve on the safety and efficacy of current diabetes management, several difficulties must be overcome. One of the biggest challenges for AP systems is meal time (prandial) glucose control. If the AP system delivers insulin 582061D STXXX10.