Glucose-insulin mathematical model for the combined effect of medications and life style of Type 2 diabetic patients

TL;DR

This paper introduces a new mathematical model that integrates treatments, lifestyle factors, and physiological responses to better understand and manage glucose-insulin dynamics in Type 2 diabetes patients.

Contribution

The paper presents a novel combined model incorporating medications, lifestyle factors, and physiological responses, enhancing treatment plan evaluation and insulin dose guidance.

Findings

Model aligns with literature on T2D patient data

Simulations demonstrate model's ability to evaluate treatment effects

Open source code provided for further use and validation

Abstract

The goal of this paper is to propose a new mathematical model for the combined effect of different treatments and lifestyles on the glucose-insulin dynamics of Type 2 diabetes (T2D) patients. The model gives the possibility to take into consideration physical activity, stress, meals, and medications while evaluating or designing treatment plans for T2D patients. The model is proposed by combining and modifying some of the available models in the literature. Simulations were performed for the modifications to show how the model confirm with literature on T2D patients. Additionally, a discussion is provided to demonstrate the ability of the model to be used in the assessment of treatment plans and in the design for robust insulin dose guidance algorithms. An open source code for the model is additionally provided.