Modeling in Computational Biology and Biomedicine

Modeling in Computational Biology and Biomedicine

Author: Frédéric Cazals

Publisher: Springer Science & Business Media

Published: 2012-11-06

Total Pages: 333

ISBN-13: 364231208X

DOWNLOAD EBOOK

Computational biology, mathematical biology, biology and biomedicine are currently undergoing spectacular progresses due to a synergy between technological advances and inputs from physics, chemistry, mathematics, statistics and computer science. The goal of this book is to evidence this synergy by describing selected developments in the following fields: bioinformatics, biomedicine and neuroscience. This work is unique in two respects - first, by the variety and scales of systems studied and second, by its presentation: Each chapter provides the biological or medical context, follows up with mathematical or algorithmic developments triggered by a specific problem and concludes with one or two success stories, namely new insights gained thanks to these methodological developments. It also highlights some unsolved and outstanding theoretical questions, with a potentially high impact on these disciplines. Two communities will be particularly interested in this book. The first one is the vast community of applied mathematicians and computer scientists, whose interests should be captured by the added value generated by the application of advanced concepts and algorithms to challenging biological or medical problems. The second is the equally vast community of biologists. Whether scientists or engineers, they will find in this book a clear and self-contained account of concepts and techniques from mathematics and computer science, together with success stories on their favorite systems. The variety of systems described represents a panoply of complementary conceptual tools. On a practical level, the resources listed at the end of each chapter (databases, software) offer invaluable support for getting started on a specific topic in the fields of biomedicine, bioinformatics and neuroscience.


A Course in Mathematical Biology

A Course in Mathematical Biology

Author: Gerda de Vries

Publisher: SIAM

Published: 2006-07-01

Total Pages: 307

ISBN-13: 0898718252

DOWNLOAD EBOOK

This is the only book that teaches all aspects of modern mathematical modeling and that is specifically designed to introduce undergraduate students to problem solving in the context of biology. Included is an integrated package of theoretical modeling and analysis tools, computational modeling techniques, and parameter estimation and model validation methods, with a focus on integrating analytical and computational tools in the modeling of biological processes. Divided into three parts, it covers basic analytical modeling techniques; introduces computational tools used in the modeling of biological problems; and includes various problems from epidemiology, ecology, and physiology. All chapters include realistic biological examples, including many exercises related to biological questions. In addition, 25 open-ended research projects are provided, suitable for students. An accompanying Web site contains solutions and a tutorial for the implementation of the computational modeling techniques. Calculations can be done in modern computing languages such as Maple, Mathematica, and MATLAB?.


BIO2010

BIO2010

Author: National Research Council

Publisher: National Academies Press

Published: 2003-02-13

Total Pages: 208

ISBN-13: 0309085357

DOWNLOAD EBOOK

Biological sciences have been revolutionized, not only in the way research is conductedâ€"with the introduction of techniques such as recombinant DNA and digital technologyâ€"but also in how research findings are communicated among professionals and to the public. Yet, the undergraduate programs that train biology researchers remain much the same as they were before these fundamental changes came on the scene. This new volume provides a blueprint for bringing undergraduate biology education up to the speed of today's research fast track. It includes recommendations for teaching the next generation of life science investigators, through: Building a strong interdisciplinary curriculum that includes physical science, information technology, and mathematics. Eliminating the administrative and financial barriers to cross-departmental collaboration. Evaluating the impact of medical college admissions testing on undergraduate biology education. Creating early opportunities for independent research. Designing meaningful laboratory experiences into the curriculum. The committee presents a dozen brief case studies of exemplary programs at leading institutions and lists many resources for biology educators. This volume will be important to biology faculty, administrators, practitioners, professional societies, research and education funders, and the biotechnology industry.


Regenerative Biology and Medicine

Regenerative Biology and Medicine

Author: David L. Stocum

Publisher: Academic Press

Published: 2012-06-07

Total Pages: 474

ISBN-13: 012384861X

DOWNLOAD EBOOK

Regenerative Biology and Medicine, Second Edition — Winner of a 2013 Highly Commended BMA Medical Book Award for Medicine — discusses the fundamentals of regenerative biology and medicine. It provides a comprehensive overview, which integrates old and new data into an ever-clearer global picture. The book is organized into three parts. Part I discusses the mechanisms and the basic biology of regeneration, while Part II deals with the strategies of regenerative medicine developed for restoring tissue, organ, and appendage structures. Part III reflects on the achievements of regenerative biology and medicine; future challenges; bioethical issues that need to be addressed; and the most promising developments in regenerative medicine. The book is designed for multiple audiences: undergraduate students, graduate students, medical students and postdoctoral fellows, and research investigators interested in an overall synthesis of this field. It will also appeal to investigators from fields not directly related to regenerative biology and medicine, such as chemistry, informatics, computer science, mathematics, physics, and engineering. - Highly Commended 2013 BMA Medical Book Award for Medicine - Includes coverage of skin, hair, teeth, cornea, and central neural tissues - Provides description of regenetive medicine in digestive, respiratory, urogenital, musculoskeletal, and cardiovascular systems - Includes amphibians as powerful research models with discussion of appendage regeneration in amphibians and mammals


Analyzing Network Data in Biology and Medicine

Analyzing Network Data in Biology and Medicine

Author: Nataša Pržulj

Publisher: Cambridge University Press

Published: 2019-03-28

Total Pages: 647

ISBN-13: 1108432239

DOWNLOAD EBOOK

Introduces biological concepts and biotechnologies producing the data, graph and network theory, cluster analysis and machine learning, using real-world biological and medical examples.


Computational Cell Biology

Computational Cell Biology

Author: Christopher P. Fall

Publisher: Springer Science & Business Media

Published: 2007-06-04

Total Pages: 484

ISBN-13: 0387224599

DOWNLOAD EBOOK

This textbook provides an introduction to dynamic modeling in molecular cell biology, taking a computational and intuitive approach. Detailed illustrations, examples, and exercises are included throughout the text. Appendices containing mathematical and computational techniques are provided as a reference tool.


Artificial Intelligence in Medicine

Artificial Intelligence in Medicine

Author: David Riaño

Publisher: Springer

Published: 2019-06-19

Total Pages: 431

ISBN-13: 303021642X

DOWNLOAD EBOOK

This book constitutes the refereed proceedings of the 17th Conference on Artificial Intelligence in Medicine, AIME 2019, held in Poznan, Poland, in June 2019. The 22 revised full and 31 short papers presented were carefully reviewed and selected from 134 submissions. The papers are organized in the following topical sections: deep learning; simulation; knowledge representation; probabilistic models; behavior monitoring; clustering, natural language processing, and decision support; feature selection; image processing; general machine learning; and unsupervised learning.


Introduction to Biological Networks

Introduction to Biological Networks

Author: Alpan Raval

Publisher: CRC Press

Published: 2016-04-19

Total Pages: 329

ISBN-13: 1420010360

DOWNLOAD EBOOK

The new research area of genomics-inspired network biology lacks an introductory book that enables both physical/computational scientists and biologists to obtain a general yet sufficiently rigorous perspective of current thinking. Filling this gap, Introduction to Biological Networks provides a thorough introduction to genomics-inspired network bi


Modeling and Simulation in Medicine and the Life Sciences

Modeling and Simulation in Medicine and the Life Sciences

Author: Frank C. Hoppensteadt

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 362

ISBN-13: 0387215719

DOWNLOAD EBOOK

The result of lectures given by the authors at New York University, the University of Utah, and Michigan State University, the material is written for students who have had only one term of calculus, but it contains material that can be used in modeling courses in applied mathematics at all levels through early graduate courses. Numerous exercises are given as well as solutions to selected exercises, so as to lead readers to discover interesting extensions of that material. Throughout, illustrations depict physiological processes, population biology phenomena, corresponding models, and the results of computer simulations. Topics covered range from population phenomena to demographics, genetics, epidemics and dispersal; in physiological processes, including the circulation, gas exchange in the lungs, control of cell volume, the renal counter-current multiplier mechanism, and muscle mechanics; to mechanisms of neural control. Each chapter is graded in difficulty, so a reading of the first parts of each provides an elementary introduction to the processes and their models.


Mathematical Modeling of Biological Systems, Volume I

Mathematical Modeling of Biological Systems, Volume I

Author: Andreas Deutsch

Publisher: Springer Science & Business Media

Published: 2007-07-16

Total Pages: 408

ISBN-13:

DOWNLOAD EBOOK

This edited volume contains a selection of chapters that are an outgrowth of the - ropean Conference on Mathematical and Theoretical Biology (ECMTB05, Dresden, Germany, July 2005). The peer-reviewed contributions show that mathematical and computational approaches are absolutely essential for solving central problems in the life sciences, ranging from the organizational level of individual cells to the dynamics of whole populations. The contributions indicate that theoretical and mathematical biology is a diverse and interdisciplinary ?eld, ranging from experimental research linked to mathema- cal modeling to the development of more abstract mathematical frameworks in which observations about the real world can be interpreted, and with which new hypotheses for testing can be generated. Today, much attention is also paid to the development of ef?cient algorithms for complex computation and visualisation, notably in molecular biology and genetics. The ?eld of theoretical and mathematical biology and medicine has profound connections to many current problems of great relevance to society. The medical, industrial, and social interests in its development are in fact indisputable.