from cancer evolution to cancer treatment Eftimie, Raluca. Trucu, Dumitru. text bibliography Electronic books. nju New Jersey World Scientific Publishing ©2025 2025 monographic eng 1 online resource (312 p.) "Cancer development and progression is the result of biological phenomena that occur across multiple temporal and spatial scales. Recent years have seen a flurry of multi-scale mathematical models developed to generate and test new biological hypotheses related to cancer development, progression, and various treatment approaches. This led to the development of new computational and analytical approaches aimed at investigating these multiscale models. This review volume summarises some of the current state of the art related to the modelling, experimental investigation and data assimilation for multiscale phenomena during cancer development, evolution and treatment, as well as computational and analytical investigation of the multi-scale models developed to reproduce the biological phenomena. The book also identifies the experimental and theoretical open problems that will have to be addressed in the near future in order to advance this field. Modelling and Computational Approaches for Multi-scale Phenomena in Cancer Research is an excellent resource for both early career and advanced researchers"-- Introduction: brief review of multiscale aspects in cancer -- Using Mathematical Models to Predict Glioblastoma Growth -- Multi-scale aspects of immune responses to solid cancers -- Modeling and Computational Approaches for Multiscale Phenomena in Cancer Research -- Modeling cell migration in cancer spread as a response to multi-cue heterogeneous environments -- Multiscale mathematical modelling and simulations of chemo-viro-therapies for cancer -- Spatio-Temporal-Structural Approaches in Cancer -- Malignant transformation of Low Grade Astrocytomas through a Mechano-Biological -- Brain tumour Evolution Backwards in Time via Reaction-Diffusion Models -- Epilogue. editors, Raluca Eftimie, Dumitru Trucu. Includes bibliographical references and index. Mode of access: World Wide Web. System requirements: Adobe Acrobat reader. Cancer Research Cancer Mathematical models Cancer Computer simulation Multiscale modeling Biological models RC267 .M636 616.99/40072 9781800614383 1800614381 2023057790 https://www.worldscientific.com/worldscibooks/10.1142/q0424#t=toc https://www.worldscientific.com/worldscibooks/10.1142/q0424#t=toc WSPC 240315 20260416153408.0 000q0424 eng