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Link de la búsquedaMathematical Modeling of Biological Systems, Volume I / SpringerLink (Online service) ; Deutsch, Andreas ; Brusch, Lutz ; Byrne, Helen ; Vries, Gerda de ; Herzel, Hanspeter (2007)
Título : Mathematical Modeling of Biological Systems, Volume I : Cellular Biophysics, Regulatory Networks, Development, Biomedicine, and Data Analysis Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Deutsch, Andreas ; Brusch, Lutz ; Byrne, Helen ; Vries, Gerda de ; Herzel, Hanspeter Editorial: Boston, MA : Birkhäuser Boston Fecha de publicación: 2007 Colección: Modeling and Simulation in Science, Engineering and Technology, ISSN 2164-3679 Número de páginas: XVIII, 382 p. 120 illus Il.: online resource ISBN/ISSN/DL: 978-0-8176-4558-8 Idioma : Inglés (eng) Palabras clave: Mathematics Cell biology Mathematical models Biomathematics Biophysics Biological physics Statistics Modeling and Industrial Computational Biology Physics Biomedicine general for Life Sciences, Medicine, Health Sciences 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: Cellular Biophysics -- Multiparticle Direct Simulation of Photosynthetic Electron Transport Processes -- Selective Regulation of Protein Activity by Complex Ca2+ Oscillations: A Theoretical Study -- Phase Separation in Eukaryotic Directional Sensing -- Protein Domains of GTPases on Membranes: Do They Rely on Turing’s Mechanism? -- In Vitro Tubulogenesis of Endothelial Cells: Analysis of a Bifurcation Process Controlled by a Mechanical Switch -- Nonexponential Time Distributions in Biocatalytic Systems: Mass Service Replacing Mass Action -- Regulatory Networks -- A Stochastic Model of Gene Regulation Using the Chemical Master Equation -- Piecewise-Linear Models of Genetic Regulatory Networks: Analysis of the Carbon Starvation Response in Escherichia coli -- Predicting Gene Expression from Combined Expression and Promoter Profile Similarity with Application to Missing Value Imputation -- Chemical Organizations in the Central Sugar Metabolism of Escherichia coli -- Transition Networks: A Unifying Theme for Molecular Simulation and Computer Science -- Development -- Pigmentation Pattern Formation in Butterfly Wings: Global Patterns on Fore- and Hindwing -- Agent-Based Model for Developmental Pattern Formation with Multiscale Dynamics and Varying Cell Geometry -- Bacterial Swarming Driven by Rod Shape -- Stability Properties of Some Tissue-Growth Models -- A Modified Backward Euler Scheme for Advection-Reaction-Diffusion Systems -- Biomedical Applications -- Fractional Transport of Cancer Cells Due to Self-Entrapment by Fission -- Mathematical Modelling of Vascular Tumour Growth and Implications for Therapy -- A Stochastic Model of Glioblastoma Invasion -- Morphology of Tumor Vasculature A Theoretical Model -- A Mathematical Model of the Cell Cycle and Its Circadian Control -- Bone Turnover Cycle Model with a Torus-Like Steady State -- Modelling the Early Stages of Atherosclerosis -- Magnetic Nanoparticles for In Vivo Applications: A Numerical Modeling Study -- Fluid Transport in Peritoneal Dialysis: A Mathematical Model and Numerical Solutions -- Relevance of Intracellular Replication to the Evolution of Chagas Disease -- A Finite Volume Spatial Discretisation for Taxis-Diffusion-Reaction Systems with Axi-Symmetry: Application to Fracture Healing -- Information Content Toward a Neonatal Disease Severity Score System -- Data Analysis and Model Validation -- Statistical Analysis and Physical Modelling of Oligonucleotide Microarrays -- Validation of Human Alternative Splice Forms Using the EASED Platform and Multiple Splice Site Discriminating Features -- Gaussian Mixture Decomposition of Time-Course DNA Microarray Data -- SVD Analysis of Gene Expression Data En línea: http://dx.doi.org/10.1007/978-0-8176-4558-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34552 Mathematical Modeling of Biological Systems, Volume I : Cellular Biophysics, Regulatory Networks, Development, Biomedicine, and Data Analysis [documento electrónico] / SpringerLink (Online service) ; Deutsch, Andreas ; Brusch, Lutz ; Byrne, Helen ; Vries, Gerda de ; Herzel, Hanspeter . - Boston, MA : Birkhäuser Boston, 2007 . - XVIII, 382 p. 120 illus : online resource. - (Modeling and Simulation in Science, Engineering and Technology, ISSN 2164-3679) .
ISBN : 978-0-8176-4558-8
Idioma : Inglés (eng)
Palabras clave: Mathematics Cell biology Mathematical models Biomathematics Biophysics Biological physics Statistics Modeling and Industrial Computational Biology Physics Biomedicine general for Life Sciences, Medicine, Health Sciences 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: Cellular Biophysics -- Multiparticle Direct Simulation of Photosynthetic Electron Transport Processes -- Selective Regulation of Protein Activity by Complex Ca2+ Oscillations: A Theoretical Study -- Phase Separation in Eukaryotic Directional Sensing -- Protein Domains of GTPases on Membranes: Do They Rely on Turing’s Mechanism? -- In Vitro Tubulogenesis of Endothelial Cells: Analysis of a Bifurcation Process Controlled by a Mechanical Switch -- Nonexponential Time Distributions in Biocatalytic Systems: Mass Service Replacing Mass Action -- Regulatory Networks -- A Stochastic Model of Gene Regulation Using the Chemical Master Equation -- Piecewise-Linear Models of Genetic Regulatory Networks: Analysis of the Carbon Starvation Response in Escherichia coli -- Predicting Gene Expression from Combined Expression and Promoter Profile Similarity with Application to Missing Value Imputation -- Chemical Organizations in the Central Sugar Metabolism of Escherichia coli -- Transition Networks: A Unifying Theme for Molecular Simulation and Computer Science -- Development -- Pigmentation Pattern Formation in Butterfly Wings: Global Patterns on Fore- and Hindwing -- Agent-Based Model for Developmental Pattern Formation with Multiscale Dynamics and Varying Cell Geometry -- Bacterial Swarming Driven by Rod Shape -- Stability Properties of Some Tissue-Growth Models -- A Modified Backward Euler Scheme for Advection-Reaction-Diffusion Systems -- Biomedical Applications -- Fractional Transport of Cancer Cells Due to Self-Entrapment by Fission -- Mathematical Modelling of Vascular Tumour Growth and Implications for Therapy -- A Stochastic Model of Glioblastoma Invasion -- Morphology of Tumor Vasculature A Theoretical Model -- A Mathematical Model of the Cell Cycle and Its Circadian Control -- Bone Turnover Cycle Model with a Torus-Like Steady State -- Modelling the Early Stages of Atherosclerosis -- Magnetic Nanoparticles for In Vivo Applications: A Numerical Modeling Study -- Fluid Transport in Peritoneal Dialysis: A Mathematical Model and Numerical Solutions -- Relevance of Intracellular Replication to the Evolution of Chagas Disease -- A Finite Volume Spatial Discretisation for Taxis-Diffusion-Reaction Systems with Axi-Symmetry: Application to Fracture Healing -- Information Content Toward a Neonatal Disease Severity Score System -- Data Analysis and Model Validation -- Statistical Analysis and Physical Modelling of Oligonucleotide Microarrays -- Validation of Human Alternative Splice Forms Using the EASED Platform and Multiple Splice Site Discriminating Features -- Gaussian Mixture Decomposition of Time-Course DNA Microarray Data -- SVD Analysis of Gene Expression Data En línea: http://dx.doi.org/10.1007/978-0-8176-4558-8 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34552 Ejemplares
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Título : Bayesian Methods in Structural Bioinformatics Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Hamelryck, Thomas ; Mardia, Kanti ; Ferkinghoff-Borg, Jesper Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2012 Colección: Statistics for Biology and Health, ISSN 1431-8776 Número de páginas: XXII, 386 p Il.: online resource ISBN/ISSN/DL: 978-3-642-27225-7 Idioma : Inglés (eng) Palabras clave: Statistics Molecular biology Bioinformatics Biomathematics Biophysics Biological physics for Life Sciences, Medicine, Health Sciences Medicine and Physics Mathematical Computational Biology Biology/Bioinformatics Clasificación: 51 Matemáticas Resumen: This book is an edited volume, the goal of which is to provide an overview of the current state-of-the-art in statistical methods applied to problems in structural bioinformatics (and in particular protein structure prediction, simulation, experimental structure determination and analysis). It focuses on statistical methods that have a clear interpretation in the framework of statistical physics, rather than ad hoc, black box methods based on neural networks or support vector machines. In addition, the emphasis is on methods that deal with biomolecular structure in atomic detail. The book is highly accessible, and only assumes background knowledge on protein structure, with a minimum of mathematical knowledge. Therefore, the book includes introductory chapters that contain a solid introduction to key topics such as Bayesian statistics and concepts in machine learning and statistical physics Nota de contenido: Part I Foundations: An Overview of Bayesian Inference and Graphical Models -- Monte Carlo Methods for Inferences in High-dimensional Systems -- Part II Energy Functions for Protein Structure Prediction: On the Physical Relevance and Statistical Interpretation of Knowledge based Potentials -- Statistical Machine Learning of Protein Energetics from Experimentally Observed Structures -- A Statistical View on the Reference Ratio Method -- Part III Directional Statistics and Shape Theory: Statistical Modelling and Simulation Using the Fisher-Bingham Distribution -- Statistics of Bivariate von Mises Distributions -- Bayesian Hierarchical Alignment Methods -- Likelihood and Empirical Bayes Superpositions of Multiple Macromolecular Structures -- Part IV Graphical models for structure prediction: Probabilistic Models of Local Biomolecular Structure and their Application in Structural Simulation -- Prediction of Low Energy Protein Side Chain Configurations Using Markov Random Fields -- Part V Inferring Structure from Experimental Data -- Inferential Structure Determination from NMR Data -- Bayesian Methods in SAXS and SANS Structure Determination En línea: http://dx.doi.org/10.1007/978-3-642-27225-7 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32965 Bayesian Methods in Structural Bioinformatics [documento electrónico] / SpringerLink (Online service) ; Hamelryck, Thomas ; Mardia, Kanti ; Ferkinghoff-Borg, Jesper . - Berlin, Heidelberg : Springer Berlin Heidelberg, 2012 . - XXII, 386 p : online resource. - (Statistics for Biology and Health, ISSN 1431-8776) .
ISBN : 978-3-642-27225-7
Idioma : Inglés (eng)
Palabras clave: Statistics Molecular biology Bioinformatics Biomathematics Biophysics Biological physics for Life Sciences, Medicine, Health Sciences Medicine and Physics Mathematical Computational Biology Biology/Bioinformatics Clasificación: 51 Matemáticas Resumen: This book is an edited volume, the goal of which is to provide an overview of the current state-of-the-art in statistical methods applied to problems in structural bioinformatics (and in particular protein structure prediction, simulation, experimental structure determination and analysis). It focuses on statistical methods that have a clear interpretation in the framework of statistical physics, rather than ad hoc, black box methods based on neural networks or support vector machines. In addition, the emphasis is on methods that deal with biomolecular structure in atomic detail. The book is highly accessible, and only assumes background knowledge on protein structure, with a minimum of mathematical knowledge. Therefore, the book includes introductory chapters that contain a solid introduction to key topics such as Bayesian statistics and concepts in machine learning and statistical physics Nota de contenido: Part I Foundations: An Overview of Bayesian Inference and Graphical Models -- Monte Carlo Methods for Inferences in High-dimensional Systems -- Part II Energy Functions for Protein Structure Prediction: On the Physical Relevance and Statistical Interpretation of Knowledge based Potentials -- Statistical Machine Learning of Protein Energetics from Experimentally Observed Structures -- A Statistical View on the Reference Ratio Method -- Part III Directional Statistics and Shape Theory: Statistical Modelling and Simulation Using the Fisher-Bingham Distribution -- Statistics of Bivariate von Mises Distributions -- Bayesian Hierarchical Alignment Methods -- Likelihood and Empirical Bayes Superpositions of Multiple Macromolecular Structures -- Part IV Graphical models for structure prediction: Probabilistic Models of Local Biomolecular Structure and their Application in Structural Simulation -- Prediction of Low Energy Protein Side Chain Configurations Using Markov Random Fields -- Part V Inferring Structure from Experimental Data -- Inferential Structure Determination from NMR Data -- Bayesian Methods in SAXS and SANS Structure Determination En línea: http://dx.doi.org/10.1007/978-3-642-27225-7 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32965 Ejemplares
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Título : Biological Physics : Poincaré Seminar 2009 Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Rivasseau, Vincent Editorial: Basel : Springer Basel Fecha de publicación: 2011 Colección: Progress in Mathematical Physics, ISSN 1544-9998 num. 60 Número de páginas: X, 170 p Il.: online resource ISBN/ISSN/DL: 978-3-0346-0428-4 Idioma : Inglés (eng) Palabras clave: Mathematics Biomathematics Biophysics Biological physics Mathematical and Computational Biology Physics Clasificación: 51 Matemáticas Resumen: This new volume in the Poincaré Seminar Series, describing recent developments at the interface between physics and biology, is directed towards a broad audience of physicists, biologists, and mathematicians. Both the theoretical and experimental aspects are covered, and particular care is devoted to the pedagogical nature of the presentations. The first survey article, by Jean-Francois Joanny and Jacques Prost, describes the theoretical advances made in the study of "active gels", with applications to liquid crystals and cell motility. Jasper van der Gucht and Cécile Sykes then report on recent advances made with biomimetic model systems in the understanding of cytokinesis. The next article, by Jonathon Howard, presents several molecular models for motor proteins, which are compared with experimental results for kinesin. David Lacoste and Kirone Mallick then show theoretically that similar ratchet models of motor proteins naturally satisfy a fundamental time-reversal symmetry, the Gallavotti-Cohen fluctuation relation. Jean-Francois Allemand, David Bensimon and Vincent Croquette and their coauthors describe the latest advances made in the real-time single molecule study of the enzymes involved in DNA replication. Raymond E. Goldstein addresses the problem of understanding, from a physics perspective, the driving forces behind the biological evolution of multicellularity, using Volvocine algae as model organisms. Stanislas Dehaene finally addresses the major challenge of understanding the neuronal mechanism of consciousness, and speculates on the possible theoretical explanations of MRI experiments. Picture of the Poincaré Seminar 2009 Contributing authors: Jean-François Allemand, David Bensimon, Vincent Croquette, Stanislas Dehaene, Ding Fangyuan, Raymond E. Goldstein, Jonathon Howard, Jean-François Joanny, David Lacoste, Timothée Lionnet, Kirone Mallick, Maria Manosas, Élise Praly, Jacques Prost, Cécile Sykes, Jasper van der Gucht Nota de contenido: Foreword -- Jean-François Joanny and Jacques Prost; Constructing Tools for the Description of Cell Dynamics -- Jasper van der Gucht and Cécile Sykes; A Physical Model of Cellular Symmetry Breaking -- Jonathon Howard; Motor Proteins as Nanomachines: The Roles of Thermal Fluctuations in Generating Force and Motion -- David Lacoste and Kirone Mallick: Fluctuation Relations for Molecular Motors -- Maria Manosas, Timothée Lionnet, Élise Praly, Ding Fangyuan, Jean-Franzcois Allemand, David Bensimon and Vincent Croquette; Studies of DNA-Replication at the Single Molecule Level Using Magnetic Tweezers -- Raymond E. Goldstein; Evolution of Biological Complexity -- Stanislas Dehaene; Conscious and Nonconscious Processes: Distinct Forms of Evidence Accumulation? En línea: http://dx.doi.org/10.1007/978-3-0346-0428-4 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33243 Biological Physics : Poincaré Seminar 2009 [documento electrónico] / SpringerLink (Online service) ; Rivasseau, Vincent . - Basel : Springer Basel, 2011 . - X, 170 p : online resource. - (Progress in Mathematical Physics, ISSN 1544-9998; 60) .
ISBN : 978-3-0346-0428-4
Idioma : Inglés (eng)
Palabras clave: Mathematics Biomathematics Biophysics Biological physics Mathematical and Computational Biology Physics Clasificación: 51 Matemáticas Resumen: This new volume in the Poincaré Seminar Series, describing recent developments at the interface between physics and biology, is directed towards a broad audience of physicists, biologists, and mathematicians. Both the theoretical and experimental aspects are covered, and particular care is devoted to the pedagogical nature of the presentations. The first survey article, by Jean-Francois Joanny and Jacques Prost, describes the theoretical advances made in the study of "active gels", with applications to liquid crystals and cell motility. Jasper van der Gucht and Cécile Sykes then report on recent advances made with biomimetic model systems in the understanding of cytokinesis. The next article, by Jonathon Howard, presents several molecular models for motor proteins, which are compared with experimental results for kinesin. David Lacoste and Kirone Mallick then show theoretically that similar ratchet models of motor proteins naturally satisfy a fundamental time-reversal symmetry, the Gallavotti-Cohen fluctuation relation. Jean-Francois Allemand, David Bensimon and Vincent Croquette and their coauthors describe the latest advances made in the real-time single molecule study of the enzymes involved in DNA replication. Raymond E. Goldstein addresses the problem of understanding, from a physics perspective, the driving forces behind the biological evolution of multicellularity, using Volvocine algae as model organisms. Stanislas Dehaene finally addresses the major challenge of understanding the neuronal mechanism of consciousness, and speculates on the possible theoretical explanations of MRI experiments. Picture of the Poincaré Seminar 2009 Contributing authors: Jean-François Allemand, David Bensimon, Vincent Croquette, Stanislas Dehaene, Ding Fangyuan, Raymond E. Goldstein, Jonathon Howard, Jean-François Joanny, David Lacoste, Timothée Lionnet, Kirone Mallick, Maria Manosas, Élise Praly, Jacques Prost, Cécile Sykes, Jasper van der Gucht Nota de contenido: Foreword -- Jean-François Joanny and Jacques Prost; Constructing Tools for the Description of Cell Dynamics -- Jasper van der Gucht and Cécile Sykes; A Physical Model of Cellular Symmetry Breaking -- Jonathon Howard; Motor Proteins as Nanomachines: The Roles of Thermal Fluctuations in Generating Force and Motion -- David Lacoste and Kirone Mallick: Fluctuation Relations for Molecular Motors -- Maria Manosas, Timothée Lionnet, Élise Praly, Ding Fangyuan, Jean-Franzcois Allemand, David Bensimon and Vincent Croquette; Studies of DNA-Replication at the Single Molecule Level Using Magnetic Tweezers -- Raymond E. Goldstein; Evolution of Biological Complexity -- Stanislas Dehaene; Conscious and Nonconscious Processes: Distinct Forms of Evidence Accumulation? En línea: http://dx.doi.org/10.1007/978-3-0346-0428-4 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33243 Ejemplares
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Título : Handbook of Optimization in Medicine Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Romeijn, H. Edwin ; Pardalos, Panos M Editorial: Boston, MA : Springer US Fecha de publicación: 2009 Colección: Springer Optimization and Its Applications, ISSN 1931-6828 num. 26 Número de páginas: XIII, 442 p Il.: online resource ISBN/ISSN/DL: 978-0-387-09770-1 Idioma : Inglés (eng) Palabras clave: Medicine Applied mathematics Engineering Mathematical optimization Biophysics Biological physics Biomedical engineering & Public Health Medicine/Public Health, general Optimization and Physics Applications of Mathematics Clasificación: 51 Matemáticas Resumen: Handbook of Optimization in Medicine is devoted to examining the dramatic increase in the application of effective optimization techniques to the delivery of health care. The articles, written by experts from the areas of optimization (operations research), computer science, and medicine, focus on models and algorithms that have led to more efficient and sophisticated treatments of patients. Topics covered include: * optimization in medical imaging, * classification and data mining with medical applications, * treatment of epilepsy and other brain disorders, * treatment of head-and-neck, prostate, and other cancers using conventional conformal and intensity-modulated radiation therapy as well as proton therapy, * treatment selection for breast cancer based on new classification schemes, * optimization for the genome project, *optimal timing of organ transplants. This handbook is an invaluable resource for graduate students and academic researchers in biomedical engineering, computer science, operations research, and medicine. Practioners as well will be able to adapt the different approaches to their needs Nota de contenido: Optimizing Organ Allocation and Acceptance -- Can we Do Better? Optimization Models for Breast Cancer Screening -- Optimization Models and Computational Approaches for Three-dimensional Conformal Radiation Treatment Planning -- Continuous Optimization of Beamlet Intensities for Intensity Modulated Photon and Proton Radiotherapy -- Multicriteria Optimization in Intensity Modulated Rediotherapy Planning -- Algorithms for Sequencing Multileaf Collimators -- Image Registration and Segmentation Based on Energy Minimization -- Optimization Techniques for Date Representions with Biomedical Applications -- Algorithms for Genomics Analysis -- Optimization and Data Mining in Epilepsy Research: A Review and Prospective -- Mathematical Programming Approaches for the Analysis of Microarray Data -- Classification and Disease Prediction Via Mathematical Programming En línea: http://dx.doi.org/10.1007/b100322 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33831 Handbook of Optimization in Medicine [documento electrónico] / SpringerLink (Online service) ; Romeijn, H. Edwin ; Pardalos, Panos M . - Boston, MA : Springer US, 2009 . - XIII, 442 p : online resource. - (Springer Optimization and Its Applications, ISSN 1931-6828; 26) .
ISBN : 978-0-387-09770-1
Idioma : Inglés (eng)
Palabras clave: Medicine Applied mathematics Engineering Mathematical optimization Biophysics Biological physics Biomedical engineering & Public Health Medicine/Public Health, general Optimization and Physics Applications of Mathematics Clasificación: 51 Matemáticas Resumen: Handbook of Optimization in Medicine is devoted to examining the dramatic increase in the application of effective optimization techniques to the delivery of health care. The articles, written by experts from the areas of optimization (operations research), computer science, and medicine, focus on models and algorithms that have led to more efficient and sophisticated treatments of patients. Topics covered include: * optimization in medical imaging, * classification and data mining with medical applications, * treatment of epilepsy and other brain disorders, * treatment of head-and-neck, prostate, and other cancers using conventional conformal and intensity-modulated radiation therapy as well as proton therapy, * treatment selection for breast cancer based on new classification schemes, * optimization for the genome project, *optimal timing of organ transplants. This handbook is an invaluable resource for graduate students and academic researchers in biomedical engineering, computer science, operations research, and medicine. Practioners as well will be able to adapt the different approaches to their needs Nota de contenido: Optimizing Organ Allocation and Acceptance -- Can we Do Better? Optimization Models for Breast Cancer Screening -- Optimization Models and Computational Approaches for Three-dimensional Conformal Radiation Treatment Planning -- Continuous Optimization of Beamlet Intensities for Intensity Modulated Photon and Proton Radiotherapy -- Multicriteria Optimization in Intensity Modulated Rediotherapy Planning -- Algorithms for Sequencing Multileaf Collimators -- Image Registration and Segmentation Based on Energy Minimization -- Optimization Techniques for Date Representions with Biomedical Applications -- Algorithms for Genomics Analysis -- Optimization and Data Mining in Epilepsy Research: A Review and Prospective -- Mathematical Programming Approaches for the Analysis of Microarray Data -- Classification and Disease Prediction Via Mathematical Programming En línea: http://dx.doi.org/10.1007/b100322 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33831 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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