In Silico Modeling and Simulation Approaches

Computational advancements have emerged in recent years, and in silico modeling has been introduced as a powerful tool in diabetes management. Various biotechnological tools, such as MATLAB, Simulink, COPASI, Cell Designer, and Multiphysics, have enhanced the understanding of complex biological phenomena involved in the insulin-glucose pathway. This chapter emphasizes the utilization of biotechnological tools in simulating the dynamics of glucose regulation and artificial pancreas control systems. The kinetics of insulin through PKPD parameters-based models that define the insulin action, absorption variability, and dynamics of glucose regulation are explored. A case study on the modeling of insulin infusion pumps that control insulin release and, as a result, preserve glucose levels is thoroughly examined. Naturopathy is taken into consideration in another case study that examines the effects of alternative therapy on diabetes. Furthermore, data-driven diabetes management models are analyzed, and their potential to forecast tailored healthcare that can enhance therapeutic outcomes in diabetes care is explored.