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Modelling and computational approaches for multi-scale phenomena in cancer research : from cancer evolution to cancer treatment / editors, Raluca Eftimie, Dumitru Trucu.

Contributor(s): Material type: TextPublication details: New Jersey : World Scientific Publishing, ©2025.Description: 1 online resource (312 p.)ISBN:
  • 9781800614383
  • 1800614381
Subject(s): Genre/Form: DDC classification:
  • 616.99/40072 23
LOC classification:
  • RC267 .M636
Online resources:
Contents:
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.
Summary: "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"-- Publisher's website.
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Electronic Books CUTN Central Library 616.99/40072 (Browse shelf(Opens below)) Link to resource Available EB04976

Includes bibliographical references and index.

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.

"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"-- Publisher's website.

Mode of access: World Wide Web.

System requirements: Adobe Acrobat reader.

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