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Soft Computing

An integrated glucose-insulin simulation model for normal meal interaction in Type 2 diabetes

  • 31-10-2025
  • Application of soft computing
Published in:
Authors
Kadry Ali Ezzat
Lamia Nabil Mahdy
Published in
Soft Computing | Issue 23-24/2025

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Abstract

This article presents an integrated glucose-insulin simulation model designed to understand normal meal interactions in Type 2 diabetes. The model employs a forcing function strategy to estimate parameters for various subsystems in both normal subjects and those with type 2 diabetes. Key topics include the development and validation of the model, the simulation of normal and diabetic meal responses, and the comparison of the model's performance with other methods. The results demonstrate the robustness of the model structure and its ability to quantitatively describe subjects with type 2 diabetes. The model's unique features, such as its detailed sub-models and the use of dietary data, make it a valuable simulator for various pathophysiological situations related to diabetes. The article concludes by highlighting the model's potential for future developments, including the consideration of counter-regulatory hormones and the variability between subjects.
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Title
An integrated glucose-insulin simulation model for normal meal interaction in Type 2 diabetes
Authors
Kadry Ali Ezzat
Lamia Nabil Mahdy
Publication date
31-10-2025
Publisher
Springer Berlin Heidelberg
Published in
Soft Computing / Issue 23-24/2025
Print ISSN: 1432-7643
Electronic ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-025-10927-y
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