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.
Keywords: Case study, Diabetes, In silico, Insulin pump, PKPD, Simulation.
