Precise glucose level monitoring is critical for people with diabetes to avoid serious complications. While there are several methods for continuous glucose level monitoring, research on maintenance devices is limited. To mitigate the gap, we provide a novel neural control system for continuous glucose monitoring and management that uses differential predictive control. Our approach, led by a sophisticated neural policy and differentiable modeling, constantly adjusts insulin supply in real-time, thereby improving glucose level optimization in the body. This end-to-end method maximizes efficiency, providing personalized care and improved health outcomes, as confirmed by empirical evidence.

翻译：精确的血糖水平监测对于糖尿病患者避免严重并发症至关重要。尽管存在多种连续血糖监测方法，但关于血糖维持设备的研究相对有限。为弥补这一不足，我们提出了一种基于差分预测控制的神经控制系统，用于实现连续血糖监测与管理。该方法由先进的神经策略和可微建模驱动，能够实时持续调整胰岛素供给量，从而优化体内血糖水平。这种端到端的方法最大限度地提高了效率，提供了个性化治疗和改善的健康结果，实证证据证实了其有效性。