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This book discusses outcome modeling in cancer using analytical and data-driven approaches, both top-down using big data approaches and bottom-up using multi-scale methods. It provides in-depth mathematical background as well as intuitive physical and biological perspectives. Applications in radiation oncology, chemotherapy, surgery and immunotherapy are covered, as well as - in the case of multimodality treatments - span assessment, prediction, prognosis, decision support and clinical trials design. This is in addition to statistical validation of performance and evaluating applicability....