Mathematical Methods In Immunology PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Mathematical Methods In Immunology PDF full book. Access full book title Mathematical Methods In Immunology.
Author | : Jerome Kenneth Percus |
Publisher | : American Mathematical Soc. |
Total Pages | : 122 |
Release | : 2012 |
Genre | : Mathematics |
ISBN | : 0821875566 |
Download Mathematical Methods in Immunology Book in PDF, ePub and Kindle
Any organism, to survive, must use a variety of defense mechanisms. A relatively recent evolutionary development is that of the adaptive immune system, carried to a quite sophisticated level by mammals. The complexity of this system calls for its encapsulation by mathematical models, and this book aims at the associated description and analysis. In the process, it introduces tools that should be in the armory of any current or aspiring applied mathematician, in the context of, arguably, the most effective system nature has devised to protect an organism from its manifold invisible enemies.
Author | : Andreas Deutsch |
Publisher | : Springer Science & Business Media |
Total Pages | : 383 |
Release | : 2007-10-12 |
Genre | : Mathematics |
ISBN | : 081764556X |
Download Mathematical Modeling of Biological Systems, Volume II Book in PDF, ePub and Kindle
Volume II of 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 are mathematical and computational apporaches to examine central problems in the life sciences, ranging from the organization principles of individual cells to the dynamics of large populations. The chapters are thematically organized into the following main areas: epidemiology, evolution and ecology, immunology, neural systems and the brain, and innovative mathematical methods and education. The work will be an excellent reference text 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.
Author | : Amina Eladdadi |
Publisher | : Springer |
Total Pages | : 282 |
Release | : 2014-11-06 |
Genre | : Mathematics |
ISBN | : 1493917935 |
Download Mathematical Models of Tumor-Immune System Dynamics Book in PDF, ePub and Kindle
This collection of papers offers a broad synopsis of state-of-the-art mathematical methods used in modeling the interaction between tumors and the immune system. These papers were presented at the four-day workshop on Mathematical Models of Tumor-Immune System Dynamics held in Sydney, Australia from January 7th to January 10th, 2013. The workshop brought together applied mathematicians, biologists, and clinicians actively working in the field of cancer immunology to share their current research and to increase awareness of the innovative mathematical tools that are applicable to the growing field of cancer immunology. Recent progress in cancer immunology and advances in immunotherapy suggest that the immune system plays a fundamental role in host defense against tumors and could be utilized to prevent or cure cancer. Although theoretical and experimental studies of tumor-immune system dynamics have a long history, there are still many unanswered questions about the mechanisms that govern the interaction between the immune system and a growing tumor. The multidimensional nature of these complex interactions requires a cross-disciplinary approach to capture more realistic dynamics of the essential biology. The papers presented in this volume explore these issues and the results will be of interest to graduate students and researchers in a variety of fields within mathematical and biological sciences.
Author | : Carmen Molina-París |
Publisher | : Springer Nature |
Total Pages | : 300 |
Release | : 2021-01-04 |
Genre | : Medical |
ISBN | : 3030572048 |
Download Mathematical, Computational and Experimental T Cell Immunology Book in PDF, ePub and Kindle
Mathematical, statistical, and computational methods enable multi-disciplinary approaches that catalyse discovery. Together with experimental methods, they identify key hypotheses, define measurable observables and reconcile disparate results. This volume collects a representative sample of studies in T cell immunology that illustrate the benefits of modelling-experimental collaborations and which have proven valuable or even ground-breaking. Studies include thymic selection, T cell repertoire diversity, T cell homeostasis in health and disease, T cell-mediated immune responses, T cell memory, T cell signalling and analysis of flow cytometry data sets. Contributing authors are leading scientists in the area of experimental, computational, and mathematical immunology. Each chapter includes state-of-the-art and pedagogical content, making this book accessible to readers with limited experience in T cell immunology and/or mathematical and computational modelling.
Author | : Guriĭ Ivanovich Marchuk |
Publisher | : Springer |
Total Pages | : 386 |
Release | : 1983 |
Genre | : Health & Fitness |
ISBN | : |
Download Mathematical Models in Immunology Book in PDF, ePub and Kindle
Author | : Guri I. Marchuk |
Publisher | : Springer Science & Business Media |
Total Pages | : 356 |
Release | : 2013-04-17 |
Genre | : Mathematics |
ISBN | : 9401587981 |
Download Mathematical Modelling of Immune Response in Infectious Diseases Book in PDF, ePub and Kindle
Beginning his work on the monograph to be published in English, this author tried to present more or less general notions of the possibilities of mathematics in the new and rapidly developing science of infectious immunology, describing the processes of an organism's defence against antigen invasions. The results presented in this monograph are based on the construc tion and application of closed models of immune response to infections which makes it possible to approach problems of optimizing the treat ment of chronic and hypertoxic forms of diseases. The author, being a mathematician, had creative long-Iasting con tacts with immunologists, geneticist, biologists, and clinicians. As far back as 1976 it resulted in the organization of a special seminar in the Computing Center of Siberian Branch of the USSR Academy of Sci ences on mathematical models in immunology. The seminar attracted the attention of a wide circle of leading specialists in various fields of science. All these made it possible to approach, from a more or less united stand point, the construction of models of immune response, the mathematical description of the models, and interpretation of results.
Author | : James Sneyd |
Publisher | : American Mathematical Soc. |
Total Pages | : 194 |
Release | : 2002 |
Genre | : Medical |
ISBN | : 0821828169 |
Download An Introduction to Mathematical Modeling in Physiology, Cell Biology, and Immunology Book in PDF, ePub and Kindle
In many respects, biology is the new frontier for applied mathematicians. This book demonstrates the important role mathematics plays in the study of some biological problems. It introduces mathematicians to the biological sciences and provides enough mathematics for bioscientists to appreciate the utility of the modelling approach. The book presents a number of diverse topics, such as neurophysiology, cell biology, immunology, and human genetics. It examines how research is done, what mathematics is used, what the outstanding questions are, and how to enter the field. Also given is a brief historical survey of each topic, putting current research into perspective. The book is suitable for mathematicians and biologists interested in mathematical methods in biology.
Author | : Gennady Bocharov |
Publisher | : Springer |
Total Pages | : 256 |
Release | : 2018-06-12 |
Genre | : Mathematics |
ISBN | : 3319723170 |
Download Mathematical Immunology of Virus Infections Book in PDF, ePub and Kindle
This monograph concisely but thoroughly introduces the reader to the field of mathematical immunology. The book covers first basic principles of formulating a mathematical model, and an outline on data-driven parameter estimation and model selection. The authors then introduce the modeling of experimental and human infections and provide the reader with helpful exercises. The target audience primarily comprises researchers and graduate students in the field of mathematical biology who wish to be concisely introduced into mathematical immunology.
Author | : Dominik Wodarz |
Publisher | : Springer Science & Business Media |
Total Pages | : 226 |
Release | : 2007-04-05 |
Genre | : Mathematics |
ISBN | : 0387687335 |
Download Killer Cell Dynamics Book in PDF, ePub and Kindle
This book reviews how mathematical and computational approaches can be useful to help us understand how killer T-cell responses work to fight viral infections. It also demonstrates, in a writing style that exemplifies the point, that such mathematical and computational approaches are most valuable when coupled with experimental work through interdisciplinary collaborations. Designed to be useful to immunoligists and viroligists without extensive computational background, the book covers a broad variety of topics, including both basic immunological questions and the application of these insights to the understanding and treatment of pathogenic human diseases.
Author | : Carmen Molina-París |
Publisher | : Springer Science & Business Media |
Total Pages | : 413 |
Release | : 2011-05-05 |
Genre | : Medical |
ISBN | : 1441977252 |
Download Mathematical Models and Immune Cell Biology Book in PDF, ePub and Kindle
Whole new areas of immunological research are emerging from the analysis of experimental data, going beyond statistics and parameter estimation into what an applied mathematician would recognise as modelling of dynamical systems. Stochastic methods are increasingly important, because stochastic models are closer to the Brownian reality of the cellular and sub-cellular world.