Neural Control System for Continuous Glucose Monitoring and Maintenance

arXiv:2402.13852v1 Announce Type: new
Abstract: 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.

abstract arxiv continuous control cs.ai cs.lg cs.ne cs.sy diabetes differentiable differential eess.sy maintenance management modeling monitoring novel pivotal policy predictive stat.ml type work