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Mathematical Biology II: Spatial Models and Biomedical Applications

This richly illustrated third edition provides a thorough training in practical mathematical biology and shows how exciting mathematical;

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Differential Equation Analysis In Biomedical Science And Eng

-based mathematical models for solving real-world problems in the biological and biomedical sciences and engineering, the book also includes: * R;

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Differential Equation Analysis in Biomedical Science and Engineering

Features a solid foundation of mathematical and computational tools to formulate and solve real-world ODE problems across various fields;

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Mathematical Models in Biomedical Science

The field of biomedical science studies the mechanisms that are at the core of the function and formation of living organisms. It ranges;

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Hybrid Systems Biology

design for synthetic biology, cyber-biological systems and biomedical studies (e.g. therapies, teleoperation); game-theoretical frameworks and;

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Explorations of Mathematical Models in Biology with Maple

Explore and analyze the solutions of mathematical models from diverse disciplines As biology increasingly depends on data, algorithms, and;

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Explorations Of Mathematical Models In Biology With Matlab(R

Explore and analyze the solutions of mathematical models from diverse disciplines As biology increasingly depends on data, algorithms, and;

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Biomedical Science

Biomedical sciences are the disciplines whose primary objective is the study of the human biology and diseases pathology. The scope;

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Quantitative Medical Data Analysis Using Mathematical Tools And Statistical Techniques

biomedical sciences. Topics include mathematical models for cancer invasion and clinical sciences, data mining techniques and subset selection;

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Applied Mathematics in Biomedical Science

engineering principles are used to advance healthcare diagnosis, monitoring and therapy. Mathematical and theoretical biology applies mathematical;

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Mathematical Methods and Models in Biomedicine

attempt to respond to the modeling and simulation challenges raised by biology and medicine. There exist a large number of mathematical methods;

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Integrodifference Equations in Spatial Ecology

integrodifference equations. The theory in the book is motivated and illustrated by many examples from conservation biology, biological invasions, pattern;

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Integrodifference Equations in Spatial Ecology

integrodifference equations. The theory in the book is motivated and illustrated by many examples from conservation biology, biological invasions, pattern;

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Stochastic Narrow Escape in Molecular and Cellular Biology

well as applications of the narrow escape problem in cell biology. The first part of the book concentrates on mathematical methods, including;

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Advanced Mathematical Methods in Biosciences and Applications

Featuring contributions from experts in mathematical biology and biomedical research, this edited volume covers a diverse set of topics on;

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Trends in Biomathematics Modeling Optimization and Computational Problems

on Mathematical and Computational Biology, which was held at the Institute of Numerical Mathematics, Russian Academy of Sciences, in October;

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Applied Mathematics for the Analysis of Biomedical Data: Models, Methods, and MATLAB

Features a practical approach to the analysis of biomedical data via mathematical methods and provides a MATLAB(R) toolbox for the;

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Analysis of Complex Networks

Mathematical problems such as graph theory problems are of increasing importance for the analysis of modelling data in biomedical research;

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An Invitation to Biomathematics

Essential for all biology and biomathematics courses, this textbook provides students with a fresh perspective of quantitative;

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Mathematical Models in the Health Sciences

Information and Simulation. A bibliography accompanies each chapter. In their conclusion the authors place mathematical biology and its techniques;

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Optimal Control for Mathematical Models of Cancer Therapies

, particularly biomathematics and more mathematical aspects of biomedical engineering, would find this book particularly useful.;

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Introduction to Mathematical Oncology

Introduction to Mathematical Oncology presents biologically well-motivated and mathematically tractable models that facilitate both a deep;

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Introduction to Mathematical Oncology

Introduction to Mathematical Oncology presents biologically well-motivated and mathematically tractable models that facilitate both a deep;

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Spatial Ecology Via Reaction-Diffusion Equations

classified as spatial in their nature and include all aspects of pollution. This book addresses the problem of modelling spatial effects in ecology;

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Cell Adhesion

cell adhesion, focusing on both biochemical and biomedical applications. All industrially relevant issues of cell adhesion - from basic;

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Advances in Mathematical Chemistry and Applications: Volume 2

applications in the field of drug discovery, bioinformatics, chemoinformatics, computational biology, mathematical proteomics, and ecotoxicology.

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Nonlinear Biomedical Signal Processing

coverage of nonlinear signal and image processing techniques. Nonlinear Biomedical Signal Processing: Volume II combines analytical and biological;

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