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Título : Cellular Automaton Modeling of Biological Pattern Formation : Characterization, Applications, and Analysis Tipo de documento: documento electrónico Autores: Andreas Deutsch ; SpringerLink (Online service) ; Sabine Dormann Editorial: Boston, MA : Birkhäuser Boston Fecha de publicación: 2005 Colección: Modeling and Simulation in Science, Engineering and Technology, ISSN 2164-3679 Número de páginas: XXIII, 331 p Il.: online resource ISBN/ISSN/DL: 978-0-8176-4415-4 Idioma : Inglés (eng) Palabras clave: Life sciences Computer simulation Applied mathematics Engineering Mathematical models Biomathematics Sciences Sciences, general and Computational Biology Modeling Industrial Mathematics Physiological, Cellular Medical Topics Applications of Simulation Clasificación: 51 Matemáticas Resumen: This book focuses on a challenging application field of cellular automata: pattern formation in biological systems, such as the growth of microorganisms, dynamics of cellular tissue and tumors, and formation of pigment cell patterns. These phenomena, resulting from complex cellular interactions, cannot be deduced solely from experimental analysis, but can be more easily examined using mathematical models, in particular, cellular automaton models. While there are various books treating cellular automaton modeling, this interdisciplinary work is the first one covering biological applications. The book is divided into three parts: Part I deals with general principles, theories, and models of pattern formation; Part II examines cellular automaton modeling; and Part III explains various applications. The models and analytic techniques described may be extended to other exciting applications in biology, medicine, and immunology. Key topics and features: * Provides an introduction and historical account of the principles of biological pattern formation (morphogenesis) * Gives an overview of mathematical modeling approaches to morphogenesis, and an introduction to cellular automata and analytic techniques * A supplementary web-based Java applet---Cellular Automaton Simulator---enables interactive simulation of various cellular automaton applications described in the book; available on the internet at www.biomodeling.info * Self-contained presentation is accessible to a broad audience; only basic calculus and linear algebra are required * Careful balance of theory, models, and applications useful to both experimentalists and theoreticians * Includes suggestions for further research topics The book is aimed at researchers, practitioners, and students in applied mathematics, mathematical biology, computational physics, bioengineering, and computer science interested in a cellular automaton approach to biological modeling. The book's accessible presentation and interdisciplinary approach make it suitable for graduate and advanced undergraduate courses and seminars in mathematical biology, biomodeling, and biocomputing Nota de contenido: General Principles, Theories, and Models of Pattern Formation -- and Outline -- On the Origin of Patterns -- Mathematical Modeling of Biological Pattern Formation -- Cellular Automaton Modeling -- Cellular Automata -- Applications -- Random Movement -- Growth Processes -- Adhesive Cell Interaction -- Alignment and Cellular Swarming -- Pigment Cell Pattern Formation -- Tissue and Tumor Development -- Turing Patterns and Excitable Media -- Discussion and Outlook En línea: http://dx.doi.org/10.1007/b138451 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35173 Cellular Automaton Modeling of Biological Pattern Formation : Characterization, Applications, and Analysis [documento electrónico] / Andreas Deutsch ; SpringerLink (Online service) ; Sabine Dormann . - Boston, MA : Birkhäuser Boston, 2005 . - XXIII, 331 p : online resource. - (Modeling and Simulation in Science, Engineering and Technology, ISSN 2164-3679) .
ISBN : 978-0-8176-4415-4
Idioma : Inglés (eng)
Palabras clave: Life sciences Computer simulation Applied mathematics Engineering Mathematical models Biomathematics Sciences Sciences, general and Computational Biology Modeling Industrial Mathematics Physiological, Cellular Medical Topics Applications of Simulation Clasificación: 51 Matemáticas Resumen: This book focuses on a challenging application field of cellular automata: pattern formation in biological systems, such as the growth of microorganisms, dynamics of cellular tissue and tumors, and formation of pigment cell patterns. These phenomena, resulting from complex cellular interactions, cannot be deduced solely from experimental analysis, but can be more easily examined using mathematical models, in particular, cellular automaton models. While there are various books treating cellular automaton modeling, this interdisciplinary work is the first one covering biological applications. The book is divided into three parts: Part I deals with general principles, theories, and models of pattern formation; Part II examines cellular automaton modeling; and Part III explains various applications. The models and analytic techniques described may be extended to other exciting applications in biology, medicine, and immunology. Key topics and features: * Provides an introduction and historical account of the principles of biological pattern formation (morphogenesis) * Gives an overview of mathematical modeling approaches to morphogenesis, and an introduction to cellular automata and analytic techniques * A supplementary web-based Java applet---Cellular Automaton Simulator---enables interactive simulation of various cellular automaton applications described in the book; available on the internet at www.biomodeling.info * Self-contained presentation is accessible to a broad audience; only basic calculus and linear algebra are required * Careful balance of theory, models, and applications useful to both experimentalists and theoreticians * Includes suggestions for further research topics The book is aimed at researchers, practitioners, and students in applied mathematics, mathematical biology, computational physics, bioengineering, and computer science interested in a cellular automaton approach to biological modeling. The book's accessible presentation and interdisciplinary approach make it suitable for graduate and advanced undergraduate courses and seminars in mathematical biology, biomodeling, and biocomputing Nota de contenido: General Principles, Theories, and Models of Pattern Formation -- and Outline -- On the Origin of Patterns -- Mathematical Modeling of Biological Pattern Formation -- Cellular Automaton Modeling -- Cellular Automata -- Applications -- Random Movement -- Growth Processes -- Adhesive Cell Interaction -- Alignment and Cellular Swarming -- Pigment Cell Pattern Formation -- Tissue and Tumor Development -- Turing Patterns and Excitable Media -- Discussion and Outlook En línea: http://dx.doi.org/10.1007/b138451 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35173 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar New Challenges for Cancer Systems Biomedicine / SpringerLink (Online service) ; Alberto D'Onofrio ; Paola Cerrai ; Alberto Gandolfi (2012)
Título : New Challenges for Cancer Systems Biomedicine Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Alberto D'Onofrio ; Paola Cerrai ; Alberto Gandolfi 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 ; Paola Cerrai ; Alberto Gandolfi . - 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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Título : Problems of High Altitude Medicine and Biology Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Almaz Aldashev ; Robert Naeije Editorial: Dordrecht : Springer Netherlands Fecha de publicación: 2007 Número de páginas: VIII, 306 p Il.: online resource ISBN/ISSN/DL: 978-1-4020-6300-8 Idioma : Inglés (eng) Palabras clave: Mathematics Cardiology Respiratory organs Diseases Sports medicine Biomathematics Physiological, Cellular and Medical Topics Medicine Pneumology/Respiratory System Clasificación: 51 Matemáticas Resumen: The major characteristic pathological findings of pulmonary vascular remodelling are increased wall thickening of pulmonary vessels and mus- larization of small arteries. In laboratory animals, decreased ambient oxygen concentrations cause similar pathological findings, including pulmonary smooth muscle hypertrophy and proliferation [22,23]. It has been suggested that proliferation of pulmonary arterial smooth muscle cells (PASMC) is a key component of pulmonary vascular remodelling, and several in vitro studies have also addressed that exposure to hypoxia can stimulate prolife- tion of PASMC [13,4,1]. The proliferation of the PASMC begins when the cells enter into the cell cycle. The most important molecular event necessary for the progress of the cell cycle is phosphorylation of retinoblastoma protein by cyclin-dependent kinase (CDK)-cyclin complexes. The CDK activity can be inhibited by CDK inhibitors and the expression of CDK inhibitor is a major regulator of the transition between each phase of the cell cycle [7]. Previous studies have noted that CDK inhibitor p27 plays an important role in the inhibition of the CDK activity and proliferation in vascular smooth muscle cells [2,3]. The G1 phase in severe hypoxia is suggested to involve the CKI p27, because the expression of p27 increased in several cell-lines when they were exposed to extreme hypoxia [20,5]. Previous reports indicate that hypoxia decreases the p27 expression in the murine lung [23,24] and we found that PGI2 suppresses hypox- induced proliferation of PASMC and maintains p27 in PASMC [20] Nota de contenido: Introduction: 45 Years Of Mountain Medicine -- High Altitude Pulmonary Hypertension And Chronic Mountain Sickness-Reappraisal Of The Consensus On Chronic And Subacute High Altitude Diseases -- The Cellular Effects Of Hypoxia In The Pulmonary Circulation -- Angiogenesis And Chronic Hypoxic Pulmonary Hypertension -- Tetrahydrobiopterin And Pulmonary Hypertension -- Hypoxia-Induced Proliferation Of Human Pulmonary Arterial Smooth Muscle Cells (Pasmc) Is Involved In The Suppression Of Cyclin-Dependent Kinase Inhibitors, P21, P27 And P53 -- Pulmonary Adaptation To High Altitude In Wild Mammals -- The Lung At High Altitude: Between Physiology And Pathology -- Sildenafil And Hypoxic Pulmonary Hypertension -- The Role Of Antioxidants In Modulation Of Acclimatization Processes -- Gene Polymorphisms And High Altitude Pulmonary Hypertension -- Genetic Factors In The Acute Response To Hypoxia In Animals Models -- Who Gets High Altitude Pulmonary Edema And Why? -- Effects Of Inhaled Nitric Oxide And Oxygen In High Altitude Pulmonary Edema -- Altered Autoregulation Of Cerebral Blood Flow In Hypoxia: Relevance To The Pathophysiology Of Acute Mountain Sickness -- Cardiac Limitation To Exercise Capacity At High Altitudes -- Pediatric High Altitude Heart Disease: A Hypoxic Pulmonary Hypertension Syndrome -- Clinical And Functional Features Of Chronic Obstructive Pulmonary Disease In The Highlanders Of Kyrgzstan -- Monitoring The Morphological And Functional Parameters Of Platelets In Patients With Thrombocytopenic Purpura During High Mountain Treatment -- Role Of Exogenous Hypoxia In Treatment Of Chronic Glomerulonephritis -- Atherogenesis Of Brain Vessels In Conditions Of Hypoxia In Kyrgyz Highlanders -- Particularities Of Neuropsychotropic Effects Of Mexidol In Various Altitude Conditions -- Influence Of High-Altitude Hypoxia On Adaptive And Non-Adaptive Structural Changes In The Vessels Of The Pulmonary Circulation -- Acute Oxygen Sensing Mechanisms En línea: http://dx.doi.org/10.1007/978-1-4020-6300-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34582 Problems of High Altitude Medicine and Biology [documento electrónico] / SpringerLink (Online service) ; Almaz Aldashev ; Robert Naeije . - Dordrecht : Springer Netherlands, 2007 . - VIII, 306 p : online resource.
ISBN : 978-1-4020-6300-8
Idioma : Inglés (eng)
Palabras clave: Mathematics Cardiology Respiratory organs Diseases Sports medicine Biomathematics Physiological, Cellular and Medical Topics Medicine Pneumology/Respiratory System Clasificación: 51 Matemáticas Resumen: The major characteristic pathological findings of pulmonary vascular remodelling are increased wall thickening of pulmonary vessels and mus- larization of small arteries. In laboratory animals, decreased ambient oxygen concentrations cause similar pathological findings, including pulmonary smooth muscle hypertrophy and proliferation [22,23]. It has been suggested that proliferation of pulmonary arterial smooth muscle cells (PASMC) is a key component of pulmonary vascular remodelling, and several in vitro studies have also addressed that exposure to hypoxia can stimulate prolife- tion of PASMC [13,4,1]. The proliferation of the PASMC begins when the cells enter into the cell cycle. The most important molecular event necessary for the progress of the cell cycle is phosphorylation of retinoblastoma protein by cyclin-dependent kinase (CDK)-cyclin complexes. The CDK activity can be inhibited by CDK inhibitors and the expression of CDK inhibitor is a major regulator of the transition between each phase of the cell cycle [7]. Previous studies have noted that CDK inhibitor p27 plays an important role in the inhibition of the CDK activity and proliferation in vascular smooth muscle cells [2,3]. The G1 phase in severe hypoxia is suggested to involve the CKI p27, because the expression of p27 increased in several cell-lines when they were exposed to extreme hypoxia [20,5]. Previous reports indicate that hypoxia decreases the p27 expression in the murine lung [23,24] and we found that PGI2 suppresses hypox- induced proliferation of PASMC and maintains p27 in PASMC [20] Nota de contenido: Introduction: 45 Years Of Mountain Medicine -- High Altitude Pulmonary Hypertension And Chronic Mountain Sickness-Reappraisal Of The Consensus On Chronic And Subacute High Altitude Diseases -- The Cellular Effects Of Hypoxia In The Pulmonary Circulation -- Angiogenesis And Chronic Hypoxic Pulmonary Hypertension -- Tetrahydrobiopterin And Pulmonary Hypertension -- Hypoxia-Induced Proliferation Of Human Pulmonary Arterial Smooth Muscle Cells (Pasmc) Is Involved In The Suppression Of Cyclin-Dependent Kinase Inhibitors, P21, P27 And P53 -- Pulmonary Adaptation To High Altitude In Wild Mammals -- The Lung At High Altitude: Between Physiology And Pathology -- Sildenafil And Hypoxic Pulmonary Hypertension -- The Role Of Antioxidants In Modulation Of Acclimatization Processes -- Gene Polymorphisms And High Altitude Pulmonary Hypertension -- Genetic Factors In The Acute Response To Hypoxia In Animals Models -- Who Gets High Altitude Pulmonary Edema And Why? -- Effects Of Inhaled Nitric Oxide And Oxygen In High Altitude Pulmonary Edema -- Altered Autoregulation Of Cerebral Blood Flow In Hypoxia: Relevance To The Pathophysiology Of Acute Mountain Sickness -- Cardiac Limitation To Exercise Capacity At High Altitudes -- Pediatric High Altitude Heart Disease: A Hypoxic Pulmonary Hypertension Syndrome -- Clinical And Functional Features Of Chronic Obstructive Pulmonary Disease In The Highlanders Of Kyrgzstan -- Monitoring The Morphological And Functional Parameters Of Platelets In Patients With Thrombocytopenic Purpura During High Mountain Treatment -- Role Of Exogenous Hypoxia In Treatment Of Chronic Glomerulonephritis -- Atherogenesis Of Brain Vessels In Conditions Of Hypoxia In Kyrgyz Highlanders -- Particularities Of Neuropsychotropic Effects Of Mexidol In Various Altitude Conditions -- Influence Of High-Altitude Hypoxia On Adaptive And Non-Adaptive Structural Changes In The Vessels Of The Pulmonary Circulation -- Acute Oxygen Sensing Mechanisms En línea: http://dx.doi.org/10.1007/978-1-4020-6300-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34582 Ejemplares
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Título : Single-Cell-Based Models in Biology and Medicine Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Alexander R. A. Anderson ; Mark A. J. Chaplain ; Katarzyna A. Rejniak Editorial: Basel : Birkhäuser Basel Fecha de publicación: 2007 Colección: Mathematics and Biosciences in Interaction Número de páginas: IX, 349 p Il.: online resource ISBN/ISSN/DL: 978-3-7643-8123-3 Idioma : Inglés (eng) Palabras clave: Mathematics Computer simulation Biomathematics Mathematical and Computational Biology Physiological, Cellular Medical Topics Simulation Modeling Clasificación: 51 Matemáticas Resumen: To adequately describe complex spatio-temporal processes that occur in multi-cellular organisms, a class of models is required that simultaneously takes into account differences between individual cells as well as their ability to communicate and interact with one another and their environment. Single-cell-based models form a framework that allows for the explicit incorporation of different properties of individual cells, but at the same time enables all cells to act together as one collective body. This leads ultimately to more biologically realistic models of heterogeneous tissues and multi-cellular organisms and allows for a better understanding of the principles underlying the complex biological processes occurring during the formation, growth and maintenance of multi-cellular bodies. The aim of this book is to assemble a collection of different mathematical and computational models and techniques that focus on individual cells, cell processes and cell behaviour, that are also suitable to address problems on the multi-cellular or tissue scale. We would like to focus the level of the book equally to students starting their research in the field of mathematical biology and to scientists already modelling multi-cellular processes. Therefore, our intention is to include in this book a detailed description of each model and an extensive review of suitable biological and medical applications Nota de contenido: Hybrid Multiscale Models -- A Hybrid Multiscale Model of Solid Tumour Growth and Invasion: Evolution and the Microenvironment -- Lattice-gas Cellular Automaton Modeling of Developing Cell Systems -- Two-dimensional Multiscale Model of Cell Motion in a Chemotactic Field -- The Cellular Potts Model and Its Variants -- Magnetization to Morphogenesis: A Brief History of the Glazier-Graner-Hogeweg Model -- The Cellular Potts Model and Biophysical Properties of Cells, Tissues and Morphogenesis -- The Cellular Potts Model in Biomedicine -- The Glazier-Graner-Hogeweg Model: Extensions, Future Directions, and Opportunities for Further Study -- Off-lattice Cell Models -- Center-based Single-cell Models: An Approach to Multi-cellular Organization Based on a Conceptual Analogy to Colloidal Particles -- Models with Lattice-free Center-based Cells Interacting with Continuum Environment Variables -- Modeling Multicellular Structures Using the Subcellular Element Model -- Viscoelastic Cell Models -- Cell-based Models of Blood Clotting -- A 3-D Deformable Ellipsoidal Cell Model with Cell Adhesion and Signaling -- Modelling the Development of Complex Tissues Using Individual Viscoelastic Cells En línea: http://dx.doi.org/10.1007/978-3-7643-8123-3 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34699 Single-Cell-Based Models in Biology and Medicine [documento electrónico] / SpringerLink (Online service) ; Alexander R. A. Anderson ; Mark A. J. Chaplain ; Katarzyna A. Rejniak . - Basel : Birkhäuser Basel, 2007 . - IX, 349 p : online resource. - (Mathematics and Biosciences in Interaction) .
ISBN : 978-3-7643-8123-3
Idioma : Inglés (eng)
Palabras clave: Mathematics Computer simulation Biomathematics Mathematical and Computational Biology Physiological, Cellular Medical Topics Simulation Modeling Clasificación: 51 Matemáticas Resumen: To adequately describe complex spatio-temporal processes that occur in multi-cellular organisms, a class of models is required that simultaneously takes into account differences between individual cells as well as their ability to communicate and interact with one another and their environment. Single-cell-based models form a framework that allows for the explicit incorporation of different properties of individual cells, but at the same time enables all cells to act together as one collective body. This leads ultimately to more biologically realistic models of heterogeneous tissues and multi-cellular organisms and allows for a better understanding of the principles underlying the complex biological processes occurring during the formation, growth and maintenance of multi-cellular bodies. The aim of this book is to assemble a collection of different mathematical and computational models and techniques that focus on individual cells, cell processes and cell behaviour, that are also suitable to address problems on the multi-cellular or tissue scale. We would like to focus the level of the book equally to students starting their research in the field of mathematical biology and to scientists already modelling multi-cellular processes. Therefore, our intention is to include in this book a detailed description of each model and an extensive review of suitable biological and medical applications Nota de contenido: Hybrid Multiscale Models -- A Hybrid Multiscale Model of Solid Tumour Growth and Invasion: Evolution and the Microenvironment -- Lattice-gas Cellular Automaton Modeling of Developing Cell Systems -- Two-dimensional Multiscale Model of Cell Motion in a Chemotactic Field -- The Cellular Potts Model and Its Variants -- Magnetization to Morphogenesis: A Brief History of the Glazier-Graner-Hogeweg Model -- The Cellular Potts Model and Biophysical Properties of Cells, Tissues and Morphogenesis -- The Cellular Potts Model in Biomedicine -- The Glazier-Graner-Hogeweg Model: Extensions, Future Directions, and Opportunities for Further Study -- Off-lattice Cell Models -- Center-based Single-cell Models: An Approach to Multi-cellular Organization Based on a Conceptual Analogy to Colloidal Particles -- Models with Lattice-free Center-based Cells Interacting with Continuum Environment Variables -- Modeling Multicellular Structures Using the Subcellular Element Model -- Viscoelastic Cell Models -- Cell-based Models of Blood Clotting -- A 3-D Deformable Ellipsoidal Cell Model with Cell Adhesion and Signaling -- Modelling the Development of Complex Tissues Using Individual Viscoelastic Cells En línea: http://dx.doi.org/10.1007/978-3-7643-8123-3 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34699 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar
Título : Selected Topics in Cancer Modeling : Genesis, Evolution, Immune Competition, and Therapy Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Elena Angelis ; Mark A. J. Chaplain ; Nicola Bellomo Editorial: Boston : Birkhäuser Boston Fecha de publicación: 2008 Colección: Modeling and Simulation in Science, Engineering and Technology Número de páginas: XVI, 473 p. 140 illus Il.: online resource ISBN/ISSN/DL: 978-0-8176-4713-1 Idioma : Inglés (eng) Palabras clave: Mathematics Health informatics Oncology Applied mathematics Engineering Mathematical models Biomathematics Modeling and Industrial Informatics Computational Biology Physiological, Cellular Medical Topics Applications of Clasificación: 51 Matemáticas Resumen: 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 Nota de contenido: Genetic and Epigenetic Pathways to Colon Cancer Relating Experimental Evidence with Modeling -- From Kinetic Theory for Active Particles to Modelling Immune Competition -- Towards Microscopic and Nonlocal Models of Tumour Invasion of Tissue -- Nonlinear Renewal Equations -- A Game Theoretical Perspective on the Somatic Evolution of cancer -- Nonlinear Modeling and Simulation of Tumor Growth -- Tumour Cords and Their Response to Anticancer Agents -- Modeling Diffusely Invading Brain Tumors An Individualized Approach to Quantifying Glioma Evolution and Response to Therapy -- Multiphase Models of Tumour Growth -- The Lymphatic Vascular System in Lymphangiogenesis Invasion and Metastasis A Mathematical Approach -- M for Invasion Morphology Mutation and the Microenvironment -- Methods of Stochastic Geometry and Related Statistical Problems in the Analysis and Therapy of Tumour Growth and Tumour Driven Angiogenesis -- Mathematical Modelling of Breast Carcinogenesis, Treatment with Surgery and Radiotherapy and Local Recurrence -- Predictive Models in Tumor Immunology -- Dynamically Adaptive Tumour Induced Angiogenesis The Impact of Flow on the Developing Capillary Plexus -- Dynamic Irregular Patterns and Invasive Wavefronts The Control of Tumour Growth by Cytotoxic T Lymphocytes -- Multiscale Modelling of Solid Tumour Growth En línea: http://dx.doi.org/10.1007/978-0-8176-4713-1 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34280 Selected Topics in Cancer Modeling : Genesis, Evolution, Immune Competition, and Therapy [documento electrónico] / SpringerLink (Online service) ; Elena Angelis ; Mark A. J. Chaplain ; Nicola Bellomo . - Boston : Birkhäuser Boston, 2008 . - XVI, 473 p. 140 illus : online resource. - (Modeling and Simulation in Science, Engineering and Technology) .
ISBN : 978-0-8176-4713-1
Idioma : Inglés (eng)
Palabras clave: Mathematics Health informatics Oncology Applied mathematics Engineering Mathematical models Biomathematics Modeling and Industrial Informatics Computational Biology Physiological, Cellular Medical Topics Applications of Clasificación: 51 Matemáticas Resumen: 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 Nota de contenido: Genetic and Epigenetic Pathways to Colon Cancer Relating Experimental Evidence with Modeling -- From Kinetic Theory for Active Particles to Modelling Immune Competition -- Towards Microscopic and Nonlocal Models of Tumour Invasion of Tissue -- Nonlinear Renewal Equations -- A Game Theoretical Perspective on the Somatic Evolution of cancer -- Nonlinear Modeling and Simulation of Tumor Growth -- Tumour Cords and Their Response to Anticancer Agents -- Modeling Diffusely Invading Brain Tumors An Individualized Approach to Quantifying Glioma Evolution and Response to Therapy -- Multiphase Models of Tumour Growth -- The Lymphatic Vascular System in Lymphangiogenesis Invasion and Metastasis A Mathematical Approach -- M for Invasion Morphology Mutation and the Microenvironment -- Methods of Stochastic Geometry and Related Statistical Problems in the Analysis and Therapy of Tumour Growth and Tumour Driven Angiogenesis -- Mathematical Modelling of Breast Carcinogenesis, Treatment with Surgery and Radiotherapy and Local Recurrence -- Predictive Models in Tumor Immunology -- Dynamically Adaptive Tumour Induced Angiogenesis The Impact of Flow on the Developing Capillary Plexus -- Dynamic Irregular Patterns and Invasive Wavefronts The Control of Tumour Growth by Cytotoxic T Lymphocytes -- Multiscale Modelling of Solid Tumour Growth En línea: http://dx.doi.org/10.1007/978-0-8176-4713-1 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34280 Ejemplares
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