With contributions from some of the top in silico modeling groups in the United States and Europe, Multiscale Cancer Modeling discusses the scientific and technical expertise necessary to conduct innovative cancer modeling research across scales. It presents modeling methods and results at the forefront of cancer simulation at all levels of biocomplexity and explains how combinations of multilevel cancer models can enhance our understanding and optimize treatment. The book explores computational cancer research from hypothesis generation and cross-scale data integration to patient-specific prognosis and treatment.
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