| Description |
1 online resource (xi, 398 pages) : illustrations (some color) |
| Series |
SIMAI Springer series, 2280-840X ; 1 |
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SIMAI Springer series ; 1. 2280-840X
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| Contents |
880-01 Title Page; Copyright Page; Preface; Table of Contents; Part I; Combining Game Theory and Graph Theory to Model Interactions between Cells in the Tumor Microenvironment; 1 Introduction; 2 Role of Social Interactions in Complex Biological Systems; 3 Tissue Topology Dynamics; 4 Evolutionary Dynamics of Graphs; 5 Computational Models of Cancer Formation; 6 A Dynamical Tissue Model of Cell to Cell Interactions; 7 Possible Extensions of the Model; 8 Conclusion; References |
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880-01/(S Towards a Comprehensive Theory of Cancer Growth -- Combining Game Theory and Graph Theory to Model Interactions between Cells in the Tumor Microenvironment / Attila Csikász-Nagy, Matteo Cavaliere, Sean Sedwards -- Growth as the Root of all Evil in Carcinomas: Synergy between pH Buffering and Anti-Angiogenesis Prevents Emergence of Hallmarks of Cancer / Ariosto Silva, Robert Gatenby -- Phase Transitions in Cancer / Ricard V. Solé -- Cancer Related Signalling Pathways -- Spatio-Temporal Modelling of Intracellular Signalling Pathways: Transcription Factors, Negative Feedback Systems and Oscillations / Mark A.J. Chaplain, Marc Sturrock, Alan J. Terry -- Understanding Cell Fate Decisions by Identifying Crucial System Dynamics / Dirk Fey, David R. Croucher, Walter Kolch, Boris N. Kholodenko -- Modelling Biochemical Pathways with the Calculus of Looping Sequences / Paolo Milazzo, Antonella Del Corso, Andrea Maggiolo-Schettini, Umberto Mura -- Dynamic Simulations of Pathways Downstream of TGFβ, Wnt and EGF-Family Growth Factors, in Colorectal Cancer, including Mutations and Treatments with Onco-Protein Inhibitors / Lorenzo Tortolina, Nicoletta Castagnino, Cristina De Ambrosi, Annalisa Barla |
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Growth as the Root of all Evil in Carcinomas: Synergy between pH Buffering and Anti-Angiogenesis Prevents Emergence of Hallmarks1 Introduction; 2 Materials and Methods; 3 Results; 4 Discussion; References; Phase Transitions in Cancer; 1 Cancer as a Complex System; 2 Phase Transitions in Physics and Biology; 3 Phase Changes in Unstable Tumors; 4 Tumor Decay under Immune Attack; 5 Cancer as an Evolving System; References; Part II; Spatio-Temporal Modelling of Intracellular Signalling Pathways: Transcription Factors, Negative Feedback Systems and Oscillation; 1 Introduction |
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2 Hes1: The Canonical Transcription Factor3 Discussion; Appendix; References; Understanding Cell Fate Decisions by Identifying Crucial System Dynamics; 1 Motivation; 2 Molecular Biology and Systems Theory; 3 Parameter Estimation with Observers; 4 Application to TrkA Induced MAPK Signalling; 5 Conclusion; References; Modelling Biochemical Pathways with the Calculus of Looping Sequences; 1 Introduction; 2 The Calculus of Looping Sequences (CLS); 3 Modelling the EGFR Signalling Pathway; 4 Conclusion; References; Dynamic Simulations of Pathways Downstream of TGF |
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Wnt and EGF-Family Growth Factors, in Colorectal Cancer, including Mutations and Treatments with Onco-Protein Inhibitors1 Introduction; 2 Our Mathematical Model; 3 What Happens in the Presence of a Work in Progress?; 4 Results from our Mathematical Model; 5 Robustness/Sensitivity of our Network to Perturbations; 6 Final Comments and Conclusion; References; Part III; Some Results on the Population Behavior of Cancer Stem Cells; 1 Introduction; 2 The Concept Model;, ; 3 Underlying Field; 4 Simulations; 5 Thecaseq2; 0; 6 Conclusion; References |
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Glucose Metabolism in Multicellular Spheroids, ATP Production and Effects of Acidity1 Introduction; 2 ATP-Regulated Cell Apoptosis; 3 Necrosis by Acidity and Tumor Invasiveness; 4 A Model of Acid-Mediated Tumor Invasion Based on TravellingWaves; 5 Conclusion; References; Cell-Cell Interactions in Solid Tumors -- the Role of Cancer Stem Cells; 1 Introduction; 2 A Cellular Automaton Model of Cancer Stem Cell-driven Tumor Growth; 3 A Cellular Potts Model of Cancer Stem Cell-Driven Tumor Growth; 4 Self-Metastatic Tumor Progression as a Function of Model Parameters; 5 Discussion; References |
| Summary |
"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."--Publisher |
| Analysis |
wiskunde |
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mathematics |
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biofysica |
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biophysics |
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partial differential equations |
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immunologie |
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immunology |
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neoplasms |
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fysiologie |
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physiology |
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celbiologie |
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cellular biology |
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Mathematics (General) |
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Wiskunde (algemeen) |
| Bibliography |
Includes bibliographical references |
| Notes |
Print version record |
| Subject |
Oncology.
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Medicine -- Mathematical models.
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Molecular biology.
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Systems biology.
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Neoplasms
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Biophysical Phenomena
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Systems Biology
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Medical Oncology
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Molecular Biology
|
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molecular biology.
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HEALTH & FITNESS -- Diseases -- Cancer.
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MEDICAL -- Oncology.
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Oncología
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Medicina -- Modelos matemáticos
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Biología molecular
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Systems biology
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Medicine -- Mathematical models
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Molecular biology
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Oncology
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| Form |
Electronic book
|
| Author |
D'Onofrio, Alberto, 1967-
|
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Cerrai, Paola.
|
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Gandolfi, Alberto.
|
| ISBN |
9788847025714 |
|
8847025710 |
|
