In Silico Modelling and Simulation for Diabetes Therapy is an exploratory study positioned at the intersection of pharmacology, systems biology, and biomedical engineering. The book demonstrates how in silico approaches support a better understanding of diabetes pathophysiology, insulin kinetics, and drug–receptor interactions while reducing reliance on costly, time-intensive clinical trials. The book begins with core concepts of in silico modelling before examining mechanisms of diabetes and existing care technologies, such as glucose monitoring systems, insulin pumps, artificial pancreas systems, and closed-loop control algorithms. It provides practical coverage of computational tools, including MATLAB, Simulink, COPASI, and Cell Designer, supported by case studies on insulin dosing, therapy optimisation, and data-driven modelling. Ethical, regulatory, and patient privacy considerations are discussed alongside emerging trends such as AI-driven modelling, virtual clinical trials, and personalised diabetes management. Key Features: Explains in silico modelling principles for diabetes research and therapy design Provides integrated disease mechanisms, insulin kinetics, and drug–receptor interactions Real-world case studies demonstrating the practical use of computational tools Addresses regulatory, ethical, and data privacy considerations in digital health Highlights future directions, including AI and personalised diabetes care