Neural Control System for Continuous Glucose Monitoring and Maintenance

Published: 19 Mar 2024, Last Modified: 20 Jun 2024Tiny Papers @ ICLR 2024 PresentEveryoneRevisionsBibTeXCC BY 4.0
Keywords: Continuous Glucose Monitoring, Health Systems, Expert Systems, Differentiable Predictive Control, Neural Control Systems
TL;DR: Neural control system transforms glucose management—real-time insulin adjustments for personalized care and glucose level maintenance.
Abstract: 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, *NeuralCGMM*. 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. Code and data are available at: https://github.com/azminewasi/NeuralCGMM.
Supplementary Material: zip
Submission Number: 94
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