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The aim of this book is not only to illustrate the state of the art of tumor systems biomedicine, but also and mainly to explicitly capture the fact that a increasing number of biomedical scientists is now directly working on mathematical modeling, and a larger number are collaborating with bio-mathematical scientists. Moreover, a number of biomathematicians started working in biomedical institutions. The book is characterized by a coherent view of tumor modeling, based on the concept that mathematical modeling is (with medicine and molecular biology) one of the three pillars of molecular medicine. Indeed this volume is characterized by a well-structured presence of a large number of biomedical scientists directly working in Mathematical or Systems Biomedicine, and of a number biomathematicians working in hospitals. This give to this book an unprecedented tone, providing an original interdisciplinary insight into the biomedical applications. Finally, all biomedical contributors were asked to briefly summarize in one section of their contributes their point of view on her/his own interactions with quantitative scientists working in Systems Biomedicine.
Medical sciences -- Computer simulation. --- Systems biology. --- Tumors -- Growth -- Computer simulation. --- Tumors -- Growth -- Mathematical models. --- Oncology --- Medicine --- Molecular biology --- Computational Biology --- Physical Phenomena --- Diseases --- Phenomena and Processes --- Biology --- Biological Science Disciplines --- Natural Science Disciplines --- Disciplines and Occupations --- Systems Biology --- Neoplasms --- Biophysical Phenomena --- Health & Biological Sciences --- Biology - General --- Mathematical models --- Oncology. --- Molecular biology. --- Mathematical models. --- Molecular biochemistry --- Molecular biophysics --- Mathematics. --- Cancer research. --- Immunology. --- Partial differential equations. --- Biomathematics. --- Physiological, Cellular and Medical Topics. --- Cancer Research. --- Biological and Medical Physics, Biophysics. --- Partial Differential Equations. --- Biochemistry --- Biophysics --- Biomolecules --- Systems biology --- Biomathematics --- Tumors --- Physiology --- Differential equations, partial. --- Immunobiology --- Life sciences --- Serology --- Partial differential equations --- Animal physiology --- Animals --- Anatomy --- Biophysics. --- Biological physics. --- Biological physics --- Medical sciences --- Physics --- Cancer research --- Mathematics
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A major challenge in the modeling and simulation of tumor growth is the mathematical description of living matter, which is far more complex than a mathematical description of inert matter. One critical piece of this challenge is creating multiscale models that take into account subcellular, cellular, and macroscopic levels of cancer. The complexity of these different levels requires the development of new mathematical methods and ideas, which are examined in this work. 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. Topics covered include: * Genetic and epigenetic pathways to colon cancer * A game theoretical perspective on the somatic evolution of cancer * Nonlinear modeling and simulation of tumor growth * Tumor cords and their response to anticancer agents * Modeling diffusely invading brain tumors * Multiphase models of tumor growth * 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. 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.
Mathematics. --- Oncology. --- Applications of Mathematics. --- Physiological, Cellular and Medical Topics. --- Mathematical Biology in General. --- Mathematical Modeling and Industrial Mathematics. --- Biology --- Physiology --- Mathématiques --- Cancérologie --- Tumors --Growth --Computer simulation. --- Tumors --Growth --Mathematical models. --- Tumors --- Diseases --- Computing Methodologies --- Investigative Techniques --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Information Science --- Models, Theoretical --- Computer Simulation --- Neoplasms --- Medicine --- Health & Biological Sciences --- Oncology --- Growth --- Mathematical models --- Computer simulation --- Computer simulation. --- Mathematical models. --- Tumours --- Health informatics. --- Applied mathematics. --- Engineering mathematics. --- Biomathematics. --- Health Informatics. --- Mathematical and Computational Biology. --- Pathology --- Cysts (Pathology) --- Oncology . --- Medical records --- Data processing. --- Math --- Science --- Animal physiology --- Animals --- Anatomy --- EHR systems --- EHR technology --- EHRs (Electronic health records) --- Electronic health records --- Electronic medical records --- EMR systems --- EMRs (Electronic medical records) --- Information storage and retrieval systems --- Medical care --- Engineering --- Engineering analysis --- Mathematical analysis --- Mathematics --- Clinical informatics --- Health informatics --- Medical information science --- Information science --- Models, Mathematical --- Simulation methods --- Data processing
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