Features of Modeling Insulin Resistance Processes in the MatLab Application Package

Paper in proceeding, 2025

The problems of immunodeficiency, as well as the possibility of controlling the processes of carbohydrate metabolism in the patient’s body, are one of the key tasks of modern immunology. The complexity of calculating and predicting the results of insulin therapy leads to the need to search for new solutions and methods for predicting insulin resistance processes and assessing the impact of various drugs on the patient’s body. One of the possible directions for improving this analysis is the use of mathematical statistics, and in particular, modeling biomedical processes in the patient’s body. Methods of mathematical statistics allow us to determine the dependencies of the results of these processes on the factors influencing them with external and internal an influence, which contributes to more effective diagnostics of the condition and prediction of treatment results. The use of computer methods for processing statistical information can significantly increase the efficiency of biomedical research, expand the scope of their application and provide a higher quality result. The authors analyze this possibility using the MatLab application package. This study is based on the initial data of a full-scale experiment conducted in 2022–2024 at Sahlgrenska Academy Gothenburg, Sweden. The aim of this study is to determine the features of modeling biomedical processes of carbohydrate metabolism in the patient’s body and to create a methodological basis for subsequent scientific medical research in this area.