The Role of Nutraceuticals in Degenerative Diseases provides a comprehensive overview of the growing role of nutraceuticals in preventing and managing degenerative disorders. As awareness of dietary supplements as supportive therapy increases, this book examines how nutraceuticals can complement conventional treatments in slowing cellular degeneration and improving quality of life. The book systematically explains the causes, mechanisms, and therapeutic approaches of major degenerative diseases, including respiratory, neurodegenerative, cardiovascular, musculoskeletal, renal, hepatic, ophthalmic, and metabolic disorders. It covers both foundational concepts of nutraceuticals and disease pathology, along with disease-specific applications supported by mechanistic insights and emerging research. Topics such as in silico identification of nutraceuticals, biomarkers, and prevention strategies are also discussed, offering a balanced view of theory and practice. Key Features; -Explains fundamentals, scope, and identification of nutraceuticals -Describes mechanisms and progression of major degenerative diseases -Examines disease-specific nutraceutical interventions across organ systems -Integrates conventional therapy with dietary and preventive strategies -Highlights emerging research, biomarkers, and preventive approaches

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