Cancer Modelling and Simulation
Cancer Modelling and Simulation

Author: Luigi Preziosi

Publisher: CRC Press

Published: 2003-06-18

Total Pages: 456

ISBN-13: 9780203494899

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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.

Multiscale Cancer Modeling
Multiscale Cancer Modeling

Author: Thomas S. Deisboeck

Publisher: CRC Press

Published: 2010-12-08

Total Pages: 492

ISBN-13: 1439814422

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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

Multiscale Modeling of Cancer
Multiscale Modeling of Cancer

Author: Vittorio Cristini

Publisher: Cambridge University Press

Published: 2010-09-09

Total Pages: 299

ISBN-13: 1139491504

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Mathematical modeling, analysis and simulation are set to play crucial roles in explaining tumor behavior, and the uncontrolled growth of cancer cells over multiple time and spatial scales. This book, the first to integrate state-of-the-art numerical techniques with experimental data, provides an in-depth assessment of tumor cell modeling at multiple scales. The first part of the text presents a detailed biological background with an examination of single-phase and multi-phase continuum tumor modeling, discrete cell modeling, and hybrid continuum-discrete modeling. In the final two chapters, the authors guide the reader through problem-based illustrations and case studies of brain and breast cancer, to demonstrate the future potential of modeling in cancer research. This book has wide interdisciplinary appeal and is a valuable resource for mathematical biologists, biomedical engineers and clinical cancer research communities wishing to understand this emerging field.

Selected Topics in Cancer Modeling
Selected Topics in Cancer Modeling

Author: Nicola Bellomo

Publisher: Springer Science & Business Media

Published: 2008-12-10

Total Pages: 481

ISBN-13: 0817647139

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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.

Computational Biology Of Cancer: Lecture Notes And Mathematical Modeling
Computational Biology Of Cancer: Lecture Notes And Mathematical Modeling

Author: Dominik Wodarz

Publisher: World Scientific

Published: 2005-01-24

Total Pages: 266

ISBN-13: 9814481874

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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.

Biomaterials for 3D Tumor Modeling
Biomaterials for 3D Tumor Modeling

Author: Subhas C. Kundu

Publisher: Elsevier

Published: 2020-08-22

Total Pages: 773

ISBN-13: 012818129X

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Biomaterials for 3D Tumor Modeling reviews the fundamentals and most relevant areas of the latest advances of research of 3D cancer models, focusing on biomaterials science, tissue engineering, drug delivery and screening aspects. The book reviews advanced fundamental topics, including the causes of cancer, existing cancer models, angiogenesis and inflammation during cancer progression, and metastasis in 3D biomaterials. Then, the most relevant biomaterials are reviewed, including methods for engineering and fabrication of biomaterials. 3D models for key biological systems and types of cancer are also discussed, including lung, liver, oral, prostate, pancreatic, ovarian, bone and pediatric cancer. This book is suitable for those working in the disciplines of materials science, biochemistry, genetics, molecular biology, drug delivery and regenerative medicine. - Reviews key biomaterials topics, including synthetic biomaterials, hydrogels, e-spun materials and nanoparticles - Provides a comprehensive overview of 3D cancer models for key biological systems and cancer types - Includes an overview of advanced fundamental concepts for an interdisciplinary audience in materials science, biochemistry, regenerative medicine and drug delivery

A Survey of Models for Tumor-Immune System Dynamics
A Survey of Models for Tumor-Immune System Dynamics

Author: John A. Adam

Publisher: Springer Science & Business Media

Published: 2012-10-06

Total Pages: 357

ISBN-13: 0817681191

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Mathematical Modeling and Immunology An enormous amount of human effort and economic resources has been directed in this century to the fight against cancer. The purpose, of course, has been to find strategies to overcome this hard, challenging and seemingly endless struggle. We can readily imagine that even greater efforts will be required in the next century. The hope is that ultimately humanity will be successful; success will have been achieved when it is possible to activate and control the immune system in its competition against neoplastic cells. Dealing with the above-mentioned problem requires the fullest pos sible cooperation among scientists working in different fields: biology, im munology, medicine, physics and, we believe, mathematics. Certainly, bi ologists and immunologists will make the greatest contribution to the re search. However, it is now increasingly recognized that mathematics and computer science may well able to make major contributions to such prob lems. We cannot expect mathematicians alone to solve fundamental prob lems in immunology and (in particular) cancer research, but valuable sup port, however modest, can be provided by mathematicians to the research aspirations of biologists and immunologists working in this field.

Bioinformatics and Computational Biology
Bioinformatics and Computational Biology

Author: Sanguthevar Rajasekaran

Publisher: Springer

Published: 2009-04-22

Total Pages: 463

ISBN-13: 3642007279

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This book constitutes the refereed proceedings of the First International on Bioinformatics and Computational Biology, BICoB 2007, held in New Orleans, LA, USA, in April 2007. The 30 revised full papers presented together with 10 invited lectures were carefully reviewed and selected from 72 initial submissions. The papers address current research in the area of bioinformatics and computational biology fostering the advancement of computing techniques and their application to life sciences in topics such as genome analysis sequence analysis, phylogenetics, structural bioinformatics, analysis of high-throughput biological data, genetics and population analysis, as well as systems biology.

Nonparametric Function Estimation, Modeling, and Simulation
Nonparametric Function Estimation, Modeling, and Simulation

Author: James R. Thompson

Publisher: SIAM

Published: 1990-01-01

Total Pages: 320

ISBN-13: 9781611971712

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Topics emphasized include nonparametric density estimation as an exploratory device plus the deeper models to which the exploratory analysis points, multi-dimensional data analysis, and analysis of remote sensing data, cancer progression, chaos theory, epidemiological modeling, and parallel based algorithms. New methods discussed are quick nonparametric density estimation based techniques for resampling and simulation based estimation techniques not requiring closed form solutions.

Dynamics Of Cancer: Mathematical Foundations Of Oncology
Dynamics Of Cancer: Mathematical Foundations Of Oncology

Author: Dominik Wodarz

Publisher: World Scientific

Published: 2014-04-24

Total Pages: 533

ISBN-13: 9814566381

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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.