A structural model of glucose regulation for building prognostic algorithms for controlling insulin therapy

This work discusses the physiological processes influencing the dynamics of blood glucose concentration in patients with diabetes mellitus and approaches to mathematical modeling of blood glucose metabolism are proposed to build predictive models as required for automating insulin therapy. Insulin-dependent and non-insulin-dependent processes occurring in the liver, kidneys, and other organs and tissues, the hormones regulating these processes, and enzymes modulating the rates of these processes are considered. A unified scheme is presented which systematizes the interaction of these substances in various processes with indications of localizations.