Key examples include a cellular model of insulin secretion and its extension to the whole-body level, a model of insulin action during a meal/oral glucose tolerance test, a large-scale simulation model of type 1 diabetes and its use in in silico clinical trials and drug trials.
- Covers the underlying principles of good quantitative modeling methodology, with applied biomedical engineering and bioscience examples to ensure relevance to students, current research and clinical practice
- Includes modeling data, modeling systems, linear and non-linear systems, model identification, parametric and non-parametric models, and model validation
- Presents clear, step-by-step working plus examples and extensive case studies that relate concepts to real world applications
- Provides end-of-chapter exercises and assignments to reinforce learning
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