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Título : Killer Cell Dynamics : Mathematical and Computational Approaches to Immunology Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Wodarz, Dominik Editorial: New York, NY : Springer New York Fecha de publicación: 2007 Colección: Interdisciplinary Applied Mathematics, ISSN 0939-6047 num. 32 Número de páginas: XIII, 220 p Il.: online resource ISBN/ISSN/DL: 978-0-387-68733-9 Idioma : Inglés (eng) Palabras clave: Mathematics Immunology Cell biology Ecology Evolutionary Biomathematics Mathematical and Computational Biology Theoretical Ecology/Statistics Clasificación: 51 Matemáticas Resumen: This book reviews how mathematics can be used in combination with biological data in order to improve understanding of how the immune system works. This is illustrated largely in the context of viral infections. Mathematical models allow scientists to capture complex biological interactions in a clear mathematical language and to follow them to their precise logical conclusions. This can give rise to counter-intuitive insights which would not be attained by experiments alone, and can be used for the design of further experiments in order to address the mathematical results. This book provides both an introduction to the field of mathematical immunology, and an overview of many topics which are the subject of current research, covering a broad variety of immunological topics. It starts with basic principles of immunology and covers the dynamical interactions between the immune system and specific viral infections, including important human pathogens such as HIV. General biological and mathematical background material to both virus infection and immune system dynamics is provided, and each chapter begins with a simple introduction to the biological questions examined. This book is intended for an interdisciplinary audience. It explains the concept of mathematical modeling in immunology and shows how modeling has been used to address specific questions. It is intended both for the mathematical biologists who are interested in immunology, and for the biological readership that is interested in the use of mathematical models in immunology. Dominik Wodarz is an Associate Professor at the Department of Ecology and Evolutionary Biology at the University of California, Irvine Nota de contenido: Viruses and Immune Responses: A Dynamical View -- Models of CTL Responses and Correlates of Virus Control -- CTL Memory -- CD4 T Cell Help -- Immunodominance -- Multiple Infections and CTL Dynamics -- Control versus CTL-Induced Pathology -- Lytic versus Nonlytic Activity -- Dynamical Interactions between CTL and Antibody Responses -- Effector Molecules and CTL Homeostasis -- Virus-Induced Subversion of CTL Responses -- Boosting Immunity against Immunosuppressive Infections -- Evolutionary Aspects of Immunity En línea: http://dx.doi.org/10.1007/978-0-387-68733-9 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34509 Killer Cell Dynamics : Mathematical and Computational Approaches to Immunology [documento electrónico] / SpringerLink (Online service) ; Wodarz, Dominik . - New York, NY : Springer New York, 2007 . - XIII, 220 p : online resource. - (Interdisciplinary Applied Mathematics, ISSN 0939-6047; 32) .
ISBN : 978-0-387-68733-9
Idioma : Inglés (eng)
Palabras clave: Mathematics Immunology Cell biology Ecology Evolutionary Biomathematics Mathematical and Computational Biology Theoretical Ecology/Statistics Clasificación: 51 Matemáticas Resumen: This book reviews how mathematics can be used in combination with biological data in order to improve understanding of how the immune system works. This is illustrated largely in the context of viral infections. Mathematical models allow scientists to capture complex biological interactions in a clear mathematical language and to follow them to their precise logical conclusions. This can give rise to counter-intuitive insights which would not be attained by experiments alone, and can be used for the design of further experiments in order to address the mathematical results. This book provides both an introduction to the field of mathematical immunology, and an overview of many topics which are the subject of current research, covering a broad variety of immunological topics. It starts with basic principles of immunology and covers the dynamical interactions between the immune system and specific viral infections, including important human pathogens such as HIV. General biological and mathematical background material to both virus infection and immune system dynamics is provided, and each chapter begins with a simple introduction to the biological questions examined. This book is intended for an interdisciplinary audience. It explains the concept of mathematical modeling in immunology and shows how modeling has been used to address specific questions. It is intended both for the mathematical biologists who are interested in immunology, and for the biological readership that is interested in the use of mathematical models in immunology. Dominik Wodarz is an Associate Professor at the Department of Ecology and Evolutionary Biology at the University of California, Irvine Nota de contenido: Viruses and Immune Responses: A Dynamical View -- Models of CTL Responses and Correlates of Virus Control -- CTL Memory -- CD4 T Cell Help -- Immunodominance -- Multiple Infections and CTL Dynamics -- Control versus CTL-Induced Pathology -- Lytic versus Nonlytic Activity -- Dynamical Interactions between CTL and Antibody Responses -- Effector Molecules and CTL Homeostasis -- Virus-Induced Subversion of CTL Responses -- Boosting Immunity against Immunosuppressive Infections -- Evolutionary Aspects of Immunity En línea: http://dx.doi.org/10.1007/978-0-387-68733-9 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34509 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar Mathematical Modeling of Biological Systems, Volume II / SpringerLink (Online service) ; Deutsch, Andreas ; Parra, Rafael Bravo de la ; Boer, Rob J. de ; Diekmann, Odo ; Jagers, Peter ; Kisdi, Eva ; Kretzschmar, Mirjam ; Lansky, Petr ; Metz, Hans (2008)
Título : Mathematical Modeling of Biological Systems, Volume II : Epidemiology, Evolution and Ecology,Immunology, Neural Systems and the Brain, and Innovative Mathematical Methods Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Deutsch, Andreas ; Parra, Rafael Bravo de la ; Boer, Rob J. de ; Diekmann, Odo ; Jagers, Peter ; Kisdi, Eva ; Kretzschmar, Mirjam ; Lansky, Petr ; Metz, Hans Editorial: Boston, MA : Birkhäuser Boston Fecha de publicación: 2008 Colección: Modeling and Simulation in Science, Engineering and Technology, ISSN 2164-3679 Número de páginas: XVIII, 386 p Il.: online resource ISBN/ISSN/DL: 978-0-8176-4556-4 Idioma : Inglés (eng) Palabras clave: Mathematics Immunology Epidemiology Bioinformatics Applied mathematics Engineering Mathematical models Biomathematics and Computational Biology Modeling Industrial Biology/Bioinformatics Applications of Clasificación: 51 Matemáticas Resumen: This two-volume, interdisciplinary work is a unified presentation of a broad range of state-of-the-art topics in the rapidly growing field of mathematical modeling in the biological sciences. Highlighted throughout both works are mathematical and computational approaches to examine central problems in the life sciences, ranging from the organizational principles of individual cells to the dynamics of large populations. Volume I covers a number of areas, including: * Cellular Biophysics * Regulatory Networks * Developmental Biology * Biomedical Applications * Data Analysis and Model Validation Volume II examines a diverse range of subjects, including: * Epidemiology * Evolution and Ecology * Immunology * Neural Systems and the Brain * Innovative Mathematical Methods and Education Both volumes will be excellent reference texts for a broad audience of researchers, practitioners, and advanced students in this rapidly growing field at the intersection of applied mathematics, experimental biology and medicine, computational biology, biochemistry, computer science, and physics Nota de contenido: Epidemiology -- Could Low-Efficacy Malaria Vaccines Increase Secondary Infections in Endemic Areas? -- Modeling of the Invasion of a Fungal Disease over a Vineyard -- An Algorithm for Parameter Estimation in Nosocomial Infections -- Evolution and Ecology -- Evolutionarily Stable Investment in Anti-Predatory Defences and Aposematic Signalling -- The Tangled Nature Model of Evolutionary Ecology: An Overview -- Relative Advantage and Fundamental Theorems of Natural Selection -- Competitive Exclusion Between Year-Classes in a Semelparous Biennial Population -- On the Impact ofWinter Conditions on the Dynamics of an Isolated Population -- Planning for Biodiversity Conservation Using Stochastic Programming -- A Diffusion-Reaction Model of a Mixed-Culture Biofilm Arising in Food Safety Studies -- The Periodical Population Dynamics of Lottery Models Including the Effect of Undeveloped Seeds -- Immunology -- An Automata-Based Microscopic Model Inspired by Clonal Expansion -- Th1–Th2 Regulation and Allergy: Bifurcation Analysis of the Non-Autonomous System -- Architecture of Randomly Evolving Idiotypic Networks -- Analysis of Infectious Mortality by Means of the Individualized Risk Model -- Neural Systems and the Brain -- Neuromorphological Phenotyping in Transgenic Mice: A Multiscale Fractal Analysis -- A Quantitative Model of ATP-Mediated Calcium Wave Propagation in Astrocyte Networks -- Dynamics of Neural Fields with Distributed Transmission Speeds -- Estimation of Differential Entropy for Positive Random Variables and Its Application in Computational Neuroscience -- Dynamics of Integrate-and-Fire Models -- A Monte Carlo Method Used for the Identification of the Muscle Spindle -- Mechanisms of Coincidence Detection in the Auditory Brainstem: Examples -- Multi-Scale Analysis of Brain Surface Data -- The Spike Generation Processes: A Case for Low Level Computation -- Innovative Mathematical Methods and Education -- Offdiagonal Complexity: A Computationally Quick Network Complexity Measure—Application to Protein Networks and Cell Division -- An Analytically Solvable Asymptotic Model of Atrial Excitability -- A Bayesian Approach to the Quantitative Polymerase Chain Reaction -- A Model of Poplar (Populus sp.) Physiology and Morphology Based on Relational Growth Grammars -- Asymptotic Behavior of a Two-Dimensional Keller–Segel Model with and without Density Control -- Saturation Effects in Population Dynamics: Use Branching Processes or Dynamical Systems? -- Modelling and Simulation by Stochastic Interacting Particle Systems -- Teaching Mathematical Biology in a Summer School for Undergraduates En línea: http://dx.doi.org/10.1007/978-0-8176-4556-4 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34260 Mathematical Modeling of Biological Systems, Volume II : Epidemiology, Evolution and Ecology,Immunology, Neural Systems and the Brain, and Innovative Mathematical Methods [documento electrónico] / SpringerLink (Online service) ; Deutsch, Andreas ; Parra, Rafael Bravo de la ; Boer, Rob J. de ; Diekmann, Odo ; Jagers, Peter ; Kisdi, Eva ; Kretzschmar, Mirjam ; Lansky, Petr ; Metz, Hans . - Boston, MA : Birkhäuser Boston, 2008 . - XVIII, 386 p : online resource. - (Modeling and Simulation in Science, Engineering and Technology, ISSN 2164-3679) .
ISBN : 978-0-8176-4556-4
Idioma : Inglés (eng)
Palabras clave: Mathematics Immunology Epidemiology Bioinformatics Applied mathematics Engineering Mathematical models Biomathematics and Computational Biology Modeling Industrial Biology/Bioinformatics Applications of Clasificación: 51 Matemáticas Resumen: This two-volume, interdisciplinary work is a unified presentation of a broad range of state-of-the-art topics in the rapidly growing field of mathematical modeling in the biological sciences. Highlighted throughout both works are mathematical and computational approaches to examine central problems in the life sciences, ranging from the organizational principles of individual cells to the dynamics of large populations. Volume I covers a number of areas, including: * Cellular Biophysics * Regulatory Networks * Developmental Biology * Biomedical Applications * Data Analysis and Model Validation Volume II examines a diverse range of subjects, including: * Epidemiology * Evolution and Ecology * Immunology * Neural Systems and the Brain * Innovative Mathematical Methods and Education Both volumes will be excellent reference texts for a broad audience of researchers, practitioners, and advanced students in this rapidly growing field at the intersection of applied mathematics, experimental biology and medicine, computational biology, biochemistry, computer science, and physics Nota de contenido: Epidemiology -- Could Low-Efficacy Malaria Vaccines Increase Secondary Infections in Endemic Areas? -- Modeling of the Invasion of a Fungal Disease over a Vineyard -- An Algorithm for Parameter Estimation in Nosocomial Infections -- Evolution and Ecology -- Evolutionarily Stable Investment in Anti-Predatory Defences and Aposematic Signalling -- The Tangled Nature Model of Evolutionary Ecology: An Overview -- Relative Advantage and Fundamental Theorems of Natural Selection -- Competitive Exclusion Between Year-Classes in a Semelparous Biennial Population -- On the Impact ofWinter Conditions on the Dynamics of an Isolated Population -- Planning for Biodiversity Conservation Using Stochastic Programming -- A Diffusion-Reaction Model of a Mixed-Culture Biofilm Arising in Food Safety Studies -- The Periodical Population Dynamics of Lottery Models Including the Effect of Undeveloped Seeds -- Immunology -- An Automata-Based Microscopic Model Inspired by Clonal Expansion -- Th1–Th2 Regulation and Allergy: Bifurcation Analysis of the Non-Autonomous System -- Architecture of Randomly Evolving Idiotypic Networks -- Analysis of Infectious Mortality by Means of the Individualized Risk Model -- Neural Systems and the Brain -- Neuromorphological Phenotyping in Transgenic Mice: A Multiscale Fractal Analysis -- A Quantitative Model of ATP-Mediated Calcium Wave Propagation in Astrocyte Networks -- Dynamics of Neural Fields with Distributed Transmission Speeds -- Estimation of Differential Entropy for Positive Random Variables and Its Application in Computational Neuroscience -- Dynamics of Integrate-and-Fire Models -- A Monte Carlo Method Used for the Identification of the Muscle Spindle -- Mechanisms of Coincidence Detection in the Auditory Brainstem: Examples -- Multi-Scale Analysis of Brain Surface Data -- The Spike Generation Processes: A Case for Low Level Computation -- Innovative Mathematical Methods and Education -- Offdiagonal Complexity: A Computationally Quick Network Complexity Measure—Application to Protein Networks and Cell Division -- An Analytically Solvable Asymptotic Model of Atrial Excitability -- A Bayesian Approach to the Quantitative Polymerase Chain Reaction -- A Model of Poplar (Populus sp.) Physiology and Morphology Based on Relational Growth Grammars -- Asymptotic Behavior of a Two-Dimensional Keller–Segel Model with and without Density Control -- Saturation Effects in Population Dynamics: Use Branching Processes or Dynamical Systems? -- Modelling and Simulation by Stochastic Interacting Particle Systems -- Teaching Mathematical Biology in a Summer School for Undergraduates En línea: http://dx.doi.org/10.1007/978-0-8176-4556-4 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34260 Ejemplares
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Título : Mathematics for Life Science and Medicine Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Takeuchi, Yasuhiro ; Iwasa, Yoh ; Sato, Kazunori Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2007 Colección: Biological and Medical Physics, Biomedical Engineering, ISSN 1618-7210 Número de páginas: X, 228 p Il.: online resource ISBN/ISSN/DL: 978-3-540-34426-1 Idioma : Inglés (eng) Palabras clave: Mathematics Immunology Virology Biomathematics Biophysics Biological physics Statistical Dynamical systems Mathematical and Computational Biology Physiological, Cellular Medical Topics Physics, Systems Complexity Physics Clasificación: 51 Matemáticas Resumen: Dynamical systems theory in mathematical biology has attracted much attention from many scientific directions. The purpose of this volume is to present and discuss the many rich properties of the dynamical systems that appear in life science and medicine. The main topics include cancer treatment, dynamics of paroxysmal tachycardia, vector disease models, epidemic diseases and metapopulations, immune systems, pathogen competition and coexistence and the evolution of virulence and the rapid evolution of viruses within a host. Each chapter will serve to introduce students and scholars to the state-of-the-art in an exciting area, to present new results, and to inspire future contributions to mathematical modeling in life science and medicine Nota de contenido: Mathematical Studies of Dynamics and Evolution of Infectious Diseases -- Basic Knowledge and Developing Tendencies in Epidemic Dynamics -- Delayed SIR Epidemic Models for Vector Diseases? -- Epidemic Models with Population Dispersal -- Spatial-Temporal Dynamics in Nonlocal Epidemiological Models -- Pathogen Competition and Coexistence and the Evolution of Virulence -- Directional Evolution of Virus Within a Host Under Immune Selection -- Stability Analysis of a Mathematical Model of the Immune Response with Delays -- Modeling Cancer Treatment Using Competition: A Survey En línea: http://dx.doi.org/10.1007/978-3-540-34426-1 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34609 Mathematics for Life Science and Medicine [documento electrónico] / SpringerLink (Online service) ; Takeuchi, Yasuhiro ; Iwasa, Yoh ; Sato, Kazunori . - Berlin, Heidelberg : Springer Berlin Heidelberg, 2007 . - X, 228 p : online resource. - (Biological and Medical Physics, Biomedical Engineering, ISSN 1618-7210) .
ISBN : 978-3-540-34426-1
Idioma : Inglés (eng)
Palabras clave: Mathematics Immunology Virology Biomathematics Biophysics Biological physics Statistical Dynamical systems Mathematical and Computational Biology Physiological, Cellular Medical Topics Physics, Systems Complexity Physics Clasificación: 51 Matemáticas Resumen: Dynamical systems theory in mathematical biology has attracted much attention from many scientific directions. The purpose of this volume is to present and discuss the many rich properties of the dynamical systems that appear in life science and medicine. The main topics include cancer treatment, dynamics of paroxysmal tachycardia, vector disease models, epidemic diseases and metapopulations, immune systems, pathogen competition and coexistence and the evolution of virulence and the rapid evolution of viruses within a host. Each chapter will serve to introduce students and scholars to the state-of-the-art in an exciting area, to present new results, and to inspire future contributions to mathematical modeling in life science and medicine Nota de contenido: Mathematical Studies of Dynamics and Evolution of Infectious Diseases -- Basic Knowledge and Developing Tendencies in Epidemic Dynamics -- Delayed SIR Epidemic Models for Vector Diseases? -- Epidemic Models with Population Dispersal -- Spatial-Temporal Dynamics in Nonlocal Epidemiological Models -- Pathogen Competition and Coexistence and the Evolution of Virulence -- Directional Evolution of Virus Within a Host Under Immune Selection -- Stability Analysis of a Mathematical Model of the Immune Response with Delays -- Modeling Cancer Treatment Using Competition: A Survey En línea: http://dx.doi.org/10.1007/978-3-540-34426-1 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34609 Ejemplares
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Título : Modeling the Interplay Between Human Behavior and the Spread of Infectious Diseases Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Manfredi, Piero ; Alberto D'Onofrio Editorial: New York, NY : Springer New York Fecha de publicación: 2013 Otro editor: Imprint: Springer Número de páginas: XIII, 329 p Il.: online resource ISBN/ISSN/DL: 978-1-4614-5474-8 Idioma : Inglés (eng) Palabras clave: Mathematics Immunology Chemometrics Health promotion Infectious diseases Biomathematics Physiological, Cellular and Medical Topics Math. Applications in Chemistry Promotion Disease Prevention Diseases Mathematical Computational Biology Clasificación: 51 Matemáticas Resumen: This volume summarizes the state-of-the-art in the fast growing research area of modeling the influence of information-driven human behavior on the spread and control of infectious diseases. In particular, it features the two main and inter-related “core” topics: behavioral changes in response to global threats, for example, pandemic influenza, and the pseudo-rational opposition to vaccines. The motivation comes from the fact that people are likely to change their behavior and their propensity to vaccinate themselves and their children based on information and rumors about the spread of a disease. As a consequence there is a feedback effect that may deeply affect the dynamics of epidemics and endemics. In order to make realistic predictions, modelers need to go beyond classical mathematical epidemiology to take these dynamic effects into account. With contributions from experts in this field, the book fills a void in the literature. It goes beyond classical texts, yet preserves the rationale of many of them by sticking to the underlying biology without compromising on scientific rigor. Epidemiologists, theoretical biologists, biophysicists, applied mathematicians, and PhD students will benefit from this book. However, it is also written for Public Health professionals interested in understanding models, and for advanced undergraduate students, since it only requires a working knowledge of mathematical epidemiology En línea: http://dx.doi.org/10.1007/978-1-4614-5474-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32258 Modeling the Interplay Between Human Behavior and the Spread of Infectious Diseases [documento electrónico] / SpringerLink (Online service) ; Manfredi, Piero ; Alberto D'Onofrio . - New York, NY : Springer New York : Imprint: Springer, 2013 . - XIII, 329 p : online resource.
ISBN : 978-1-4614-5474-8
Idioma : Inglés (eng)
Palabras clave: Mathematics Immunology Chemometrics Health promotion Infectious diseases Biomathematics Physiological, Cellular and Medical Topics Math. Applications in Chemistry Promotion Disease Prevention Diseases Mathematical Computational Biology Clasificación: 51 Matemáticas Resumen: This volume summarizes the state-of-the-art in the fast growing research area of modeling the influence of information-driven human behavior on the spread and control of infectious diseases. In particular, it features the two main and inter-related “core” topics: behavioral changes in response to global threats, for example, pandemic influenza, and the pseudo-rational opposition to vaccines. The motivation comes from the fact that people are likely to change their behavior and their propensity to vaccinate themselves and their children based on information and rumors about the spread of a disease. As a consequence there is a feedback effect that may deeply affect the dynamics of epidemics and endemics. In order to make realistic predictions, modelers need to go beyond classical mathematical epidemiology to take these dynamic effects into account. With contributions from experts in this field, the book fills a void in the literature. It goes beyond classical texts, yet preserves the rationale of many of them by sticking to the underlying biology without compromising on scientific rigor. Epidemiologists, theoretical biologists, biophysicists, applied mathematicians, and PhD students will benefit from this book. However, it is also written for Public Health professionals interested in understanding models, and for advanced undergraduate students, since it only requires a working knowledge of mathematical epidemiology En línea: http://dx.doi.org/10.1007/978-1-4614-5474-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32258 Ejemplares
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Título : New Challenges for Cancer Systems Biomedicine Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Alberto D'Onofrio ; Cerrai, Paola ; Gandolfi, Alberto Editorial: Milano : Springer Milan Fecha de publicación: 2012 Otro editor: Imprint: Springer Colección: SIMAI Springer Series, ISSN 2280-840X Número de páginas: XII, 400 p Il.: online resource ISBN/ISSN/DL: 978-88-470-2571-4 Idioma : Inglés (eng) Palabras clave: Mathematics Cancer research Immunology Partial differential equations Biomathematics Biophysics Biological physics Physiological, Cellular and Medical Topics Research Physics Differential Equations Clasificación: 51 Matemáticas Resumen: 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 Nota de contenido: Part I Towards a Comprehensive Theory of Cancer Growth -- Combining Game Theory and Graph Theory to Model Interactions between Cells in the Tumor Microenvironment -- Growth as the Root of all Evil in Carcinomas: Synergy between pH Buffering and Anti-Angiogenesis prevents Emergence of Hallmarks of Cancer -- Phase Transitions in Cancer -- Part II Cancer Related Signalling Pathways -- Spatio-Temporal Modelling of Intracellular Signalling Pathways: Transcription Factors, Negative Feedback Systems and Oscillations -- Understanding Cell Fate Decisions by Identifying Crucial System Dynamics -- Modelling Biochemical Pathways with the Calculus of Looping Sequences -- Dynamic Simulations of Pathways Downstream of TGFß, Wnt and EGF-Family Growth Factors, in Colorectal Cancer, including Mutations and Treatments with Onco-Protein Inhibitors -- Part III Basic Mechanisms of Tumor Progression -- Some Results on the Population Behavior of Cancer Stem Cells -- Glucose Metabolism in Multicellular Spheroids, ATP Production and Effects of Acidity -- Cell-Cell Interactions in Solid Tumors - the Role of Cancer Stem Cells -- Hybrid Cellular Potts Model for Solid Tumor Growth -- Part IV Tumor-Immune System Interplay and Immunotherapy -- Computational Models as Novel Tools for Cancer Vaccines -- On the Dynamics of Tumor-Immune System Interactions and Combined Chemo- and Immunotherapy -- Modeling the Kinetics of the Immune Response -- Part V Computational Method for Improving Chemotherapy.- Optimizing Cancer Chemotherapy: from Mathematical Theories to Clinical Treatment -- A Systems Biomedicine Approach for Chronotherapeutics Optimization: Focus on the Anticancer Drug Irinotecan -- Modeling the Dynamics of HCV Infected Cells to Tailor Antiviral Therapy in Clinical Practice: Can This Approach Fit for Neoplastic Cells? -- Introducing Drug Transport Early in the Design of Hypoxia Selective Anticancer Agents Using a Mathematical Modelling Approach -- Top-Down Multiscale Simulation of Tumor Response to Treatment in the Context of In Silico Oncology. The Notion of Oncosimulator -- Challenges in the Integration of Flow Cytometry and Time-Lapse Live Cell Imaging Data Using a Cell Proliferation Model En línea: http://dx.doi.org/10.1007/978-88-470-2571-4 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33044 New Challenges for Cancer Systems Biomedicine [documento electrónico] / SpringerLink (Online service) ; Alberto D'Onofrio ; Cerrai, Paola ; Gandolfi, Alberto . - Milano : Springer Milan : Imprint: Springer, 2012 . - XII, 400 p : online resource. - (SIMAI Springer Series, ISSN 2280-840X) .
ISBN : 978-88-470-2571-4
Idioma : Inglés (eng)
Palabras clave: Mathematics Cancer research Immunology Partial differential equations Biomathematics Biophysics Biological physics Physiological, Cellular and Medical Topics Research Physics Differential Equations Clasificación: 51 Matemáticas Resumen: 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 Nota de contenido: Part I Towards a Comprehensive Theory of Cancer Growth -- Combining Game Theory and Graph Theory to Model Interactions between Cells in the Tumor Microenvironment -- Growth as the Root of all Evil in Carcinomas: Synergy between pH Buffering and Anti-Angiogenesis prevents Emergence of Hallmarks of Cancer -- Phase Transitions in Cancer -- Part II Cancer Related Signalling Pathways -- Spatio-Temporal Modelling of Intracellular Signalling Pathways: Transcription Factors, Negative Feedback Systems and Oscillations -- Understanding Cell Fate Decisions by Identifying Crucial System Dynamics -- Modelling Biochemical Pathways with the Calculus of Looping Sequences -- Dynamic Simulations of Pathways Downstream of TGFß, Wnt and EGF-Family Growth Factors, in Colorectal Cancer, including Mutations and Treatments with Onco-Protein Inhibitors -- Part III Basic Mechanisms of Tumor Progression -- Some Results on the Population Behavior of Cancer Stem Cells -- Glucose Metabolism in Multicellular Spheroids, ATP Production and Effects of Acidity -- Cell-Cell Interactions in Solid Tumors - the Role of Cancer Stem Cells -- Hybrid Cellular Potts Model for Solid Tumor Growth -- Part IV Tumor-Immune System Interplay and Immunotherapy -- Computational Models as Novel Tools for Cancer Vaccines -- On the Dynamics of Tumor-Immune System Interactions and Combined Chemo- and Immunotherapy -- Modeling the Kinetics of the Immune Response -- Part V Computational Method for Improving Chemotherapy.- Optimizing Cancer Chemotherapy: from Mathematical Theories to Clinical Treatment -- A Systems Biomedicine Approach for Chronotherapeutics Optimization: Focus on the Anticancer Drug Irinotecan -- Modeling the Dynamics of HCV Infected Cells to Tailor Antiviral Therapy in Clinical Practice: Can This Approach Fit for Neoplastic Cells? -- Introducing Drug Transport Early in the Design of Hypoxia Selective Anticancer Agents Using a Mathematical Modelling Approach -- Top-Down Multiscale Simulation of Tumor Response to Treatment in the Context of In Silico Oncology. The Notion of Oncosimulator -- Challenges in the Integration of Flow Cytometry and Time-Lapse Live Cell Imaging Data Using a Cell Proliferation Model En línea: http://dx.doi.org/10.1007/978-88-470-2571-4 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33044 Ejemplares
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