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

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Biomedical Engineering Aims and scope

Abstract

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.

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Funding

This study was performed with financial support from the Russian Science Foundation (Agreement No. 23–24–00461 dated January 19, 2023).

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Authors and Affiliations

  1. Institute of Biomedical Systems, MIET National Research University, Zelenograd, Moscow, Russian Federation

    É. I. Strukova & K. V. Pozhar

Authors
  1. É. I. Strukova
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  2. K. V. Pozhar
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Corresponding author

Correspondence to É. I. Strukova.

Additional information

Translated from Meditsinskaya Tekhnika, Vol. 58, No. 1, pp. 44–48, January-February, 2024.

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Original article submitted December 7, 2023.

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Strukova, É.I., Pozhar, K.V. A structural model of glucose regulation for building prognostic algorithms for controlling insulin therapy. Biomed Eng (2024). https://doi.org/10.1007/s10527-024-10367-2

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  • DOI: https://doi.org/10.1007/s10527-024-10367-2

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