Name: In Silico Modeling and Simulation for Diabetes Therapy (en Inglés)
SKU: 67447120
Price: 79.87 USD
Availability: InStock
Author: Hardik Bhatt;Himanshu K. Patel;Darshna M. Joshi

portada In Silico Modeling and Simulation for Diabetes Therapy (en Inglés)

In Silico Modeling and Simulation for Diabetes Therapy (en Inglés)

Formato

Libro Físico

Editorial

Bentham Science Publishers

Autor

Hardik Bhatt;Himanshu K. Patel;Darshna M. Joshi

Año

2026

Idioma

Inglés

N° páginas

160

Encuadernación

Tapa Blanda

Dimensiones

25.4x17.8x1 cm

ISBN13

9798898813659

In Silico Modeling and Simulation for Diabetes Therapy (en Inglés)

Hardik Bhatt;Himanshu K. Patel;Darshna M. Joshi (Autor) · Bentham Science Publishers · Tapa Blanda

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Reseña del libro "In Silico Modeling and Simulation for Diabetes Therapy (en Inglés)"

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