Written by first-rate researchers in the field of mathematical biology, this collection of selected chapters offers a comprehensive overview of state-of-the-art mathematical methods and tools for modeling and analyzing cancer phenomena. The book has an overall aim of quantitative, predictive mathematical modeling of solid tumor growth at all scales, from genetics all the way through to treatment therapy for patients. Topics covered include: genetic and epigenetic pathways to colon cancer; nonlinear modeling and simulation of tumor growth; modeling diffusely invading brain tumors; mathematical modeling of breast carcinogenesis; predictive models in tumor immunology; multiscale modeling of solid tumor growth. Selected Topics in Cancer Modeling is an excellent reference for researchers, practitioners, and graduate students in applied mathematics, mathematical biology, and related fields.

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