Diabetes Systems Biology provides senior undergraduate students and junior scientists, interested in diabetes systems biology, with a tool to learn more about the mathematical models and methods used to understand macroscopically and microscopically beta-cell behaviour in health and disease. The book introduces readers to the quantitative methods used to examine beta-cell dynamics, islet biology and architecture, as well as diabetes etiology and implications. The goal is to allow junior researchers in the fields of mathematical biology and biophysics to obtain a broad understanding of these quantitative methods, and guide them into taking the first steps into the field of diabetes systems biology. At the end of each chapter, several problem-solving exercises (that require both analytical and computational skills) are provided for the readers to help them become more proficient in this field.
Key Features
- Comprehensive overview of all relevant aspects of diabetes systems biology and biological mathematical modelling
- Covers quantitative aspects of this discipline with embedded examples
- Features contributions from world-class researchers in the field
- Provides extensive references for further reading
- Includes problem solving exercises at the end of each chapter