Precise glucose level management is pivotal for individuals with diabetes, averting severe complications. In this work, we introduce a novel neural control system for continuous glucose monitoring and maintenance, utilizing differential predictive control. Our system, guided by a sophisticated neural policy and differentiable modeling, dynamically adjusts insulin delivery in real-time, enhancing glucose optimization. This end-to-end approach maximizes efficiency, ensuring personalized care and improved health outcomes, as affirmed by empirical findings.

翻译：精准的血糖水平管理对于糖尿病患者至关重要，可预防严重并发症。本文提出一种基于差分预测控制的连续血糖监测与维持新型神经网络控制系统。该系统以复杂的神经策略与可微分建模为指导，动态实时调整胰岛素输注，优化血糖调控成效。这种端到端方法最大化效率，确保个性化护理并改善健康结果，实证研究结果证实了该方法的有效性。