Selected Topics In Cancer Modeling PDF Download
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Author | : Nicola Bellomo |
Publisher | : Springer Science & Business Media |
Total Pages | : 481 |
Release | : 2008-12-10 |
Genre | : Mathematics |
ISBN | : 0817647139 |
Download Selected Topics in Cancer Modeling Book in PDF, ePub and Kindle
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 stochastic evolutionary models of cancer initiation and progression, tumor cords and their response to anticancer agents, and immune competition in tumor progression and prevention. The complexity of modeling living matter requires the development of new mathematical methods and ideas. This volume, written by first-rate researchers in the field of mathematical biology, is one of the first steps in that direction.
Author | : Yang Kuang |
Publisher | : CRC Press |
Total Pages | : 472 |
Release | : 2018-09-03 |
Genre | : Mathematics |
ISBN | : 1315361981 |
Download Introduction to Mathematical Oncology Book in PDF, ePub and Kindle
Introduction to Mathematical Oncology presents biologically well-motivated and mathematically tractable models that facilitate both a deep understanding of cancer biology and better cancer treatment designs. It covers the medical and biological background of the diseases, modeling issues, and existing methods and their limitations. The authors introduce mathematical and programming tools, along with analytical and numerical studies of the models. They also develop new mathematical tools and look to future improvements on dynamical models. After introducing the general theory of medicine and exploring how mathematics can be essential in its understanding, the text describes well-known, practical, and insightful mathematical models of avascular tumor growth and mathematically tractable treatment models based on ordinary differential equations. It continues the topic of avascular tumor growth in the context of partial differential equation models by incorporating the spatial structure and physiological structure, such as cell size. The book then focuses on the recent active multi-scale modeling efforts on prostate cancer growth and treatment dynamics. It also examines more mechanistically formulated models, including cell quota-based population growth models, with applications to real tumors and validation using clinical data. The remainder of the text presents abundant additional historical, biological, and medical background materials for advanced and specific treatment modeling efforts. Extensively classroom-tested in undergraduate and graduate courses, this self-contained book allows instructors to emphasize specific topics relevant to clinical cancer biology and treatment. It can be used in a variety of ways, including a single-semester undergraduate course, a more ambitious graduate course, or a full-year sequence on mathematical oncology.
Author | : W. Y. Tan |
Publisher | : World Scientific |
Total Pages | : 592 |
Release | : 2008 |
Genre | : Political Science |
ISBN | : 9812779485 |
Download Handbook of Cancer Models with Applications Book in PDF, ePub and Kindle
Composed of contributions from an international team of leading researchers, this book pulls together the most recent research results in the field of cancer modeling to provide readers with the most advanced mathematical models of cancer and their applications.Topics included in the book cover oncogenetic trees, stochastic multistage models of carcinogenesis, effects of ionizing radiation on cell cycle and genomic instability, induction of DNA damage by ionizing radiation and its repair, epigenetic cancer models, bystander effects of radiation, multiple pathway models of human colon cancer, and stochastic models of metastasis. The book also provides some important applications of cancer models to the assessment of cancer risk associated with various hazardous environmental agents, to cancer screening by MRI, and to drug resistance in cancer chemotherapy. An updated statistical design and analysis of xenograft experiments as well as a statistical analysis of cancer occult clinical data are also provided.The book will serve as a useful source of reference for researchers in biomathematics, biostatistics and bioinformatics; for clinical investigators and medical doctors employing quantitative methods to develop procedures for cancer diagnosis, prevention, control and treatment; and for graduate students.
Author | : Thomas S. Deisboeck |
Publisher | : CRC Press |
Total Pages | : 492 |
Release | : 2010-12-08 |
Genre | : Mathematics |
ISBN | : 1439814422 |
Download Multiscale Cancer Modeling Book in PDF, ePub and Kindle
Cancer is a complex disease process that spans multiple scales in space and time. Driven by cutting-edge mathematical and computational techniques, in silico biology provides powerful tools to investigate the mechanistic relationships of genes, cells, and tissues. It enables the creation of experimentally testable hypotheses, the integration of dat
Author | : Dominik Wodarz |
Publisher | : World Scientific |
Total Pages | : 533 |
Release | : 2014-04-24 |
Genre | : Mathematics |
ISBN | : 9814566381 |
Download Dynamics Of Cancer: Mathematical Foundations Of Oncology Book in PDF, ePub and Kindle
The book aims to provide an introduction to mathematical models that describe the dynamics of tumor growth and the evolution of tumor cells. It can be used as a textbook for advanced undergraduate or graduate courses, and also serves as a reference book for researchers. The book has a strong evolutionary component and reflects the viewpoint that cancer can be understood rationally through a combination of mathematical and biological tools. It can be used both by mathematicians and biologists. Mathematically, the book starts with relatively simple ordinary differential equation models, and subsequently explores more complex stochastic and spatial models. Biologically, the book starts with explorations of the basic dynamics of tumor growth, including competitive interactions among cells, and subsequently moves on to the evolutionary dynamics of cancer cells, including scenarios of cancer initiation, progression, and treatment. The book finishes with a discussion of advanced topics, which describe how some of the mathematical concepts can be used to gain insights into a variety of questions, such as epigenetics, telomeres, gene therapy, and social interactions of cancer cells.
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Release | : 2006 |
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Download Special Issue on Cancer Modeling Book in PDF, ePub and Kindle
Author | : Dominik Wodarz |
Publisher | : World Scientific |
Total Pages | : 266 |
Release | : 2005-01-24 |
Genre | : Science |
ISBN | : 9814481874 |
Download Computational Biology Of Cancer: Lecture Notes And Mathematical Modeling Book in PDF, ePub and Kindle
The book shows how mathematical and computational models can be used to study cancer biology. It introduces the concept of mathematical modeling and then applies it to a variety of topics in cancer biology. These include aspects of cancer initiation and progression, such as the somatic evolution of cells, genetic instability, and angiogenesis. The book also discusses the use of mathematical models for the analysis of therapeutic approaches such as chemotherapy, immunotherapy, and the use of oncolytic viruses.
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Total Pages | : 176 |
Release | : 2005 |
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Download Special Issue on Cancer Modeling Book in PDF, ePub and Kindle
Author | : Luigi Preziosi |
Publisher | : CRC Press |
Total Pages | : 456 |
Release | : 2003-06-18 |
Genre | : Mathematics |
ISBN | : 9780203494899 |
Download Cancer Modelling and Simulation Book in PDF, ePub and Kindle
Understanding how cancer tumours develop and spread is vital for finding treatments and cures. Cancer Modelling and Simulation demonstrates how mathematical modelling and computer simulation techniques are used to discover and gain insight into the dynamics of tumour development and growth. It highlights the benefits of tumour modelling, such as discovering optimal tumour therapy schedules, identifying the most promising candidates for further clinical investigation, and reducing the number of animal experiments. By examining the analytical, mathematical, and biological aspects of tumour growth and modelling, the book provides a common language and knowledge for professionals in several disciplines.
Author | : Beverly A. Teicher |
Publisher | : Springer Science & Business Media |
Total Pages | : 745 |
Release | : 2001-11-07 |
Genre | : Medical |
ISBN | : 1592591000 |
Download Tumor Models in Cancer Research Book in PDF, ePub and Kindle
Beverly A. Teicher and a panel of leading experts comprehensively describe for the first time in many years the state-of-the-art in animal tumor model research. The wide array of models detailed form the basis for the selection of compounds and treatments that go into clinical testing of patients, and include syngeneic models, human tumor xenograft models, orthotopic models, metastatic models, transgenic models, and gene knockout models. Synthesizing many years experience with all the major in vivo models currently available for the study of malignant disease, Tumor Models in Cancer Research provides preclinical and clinical cancer researchers alike with a comprehensive guide to the selection of these models, their effective use, and the optimal interpretation of their results.