Multiscale Cancer Modeling

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Publisher : CRC Press
ISBN 13 : 1439814422
Total Pages : 492 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Multiscale Cancer Modeling by : Thomas S. Deisboeck

Download or read book Multiscale Cancer Modeling written by Thomas S. Deisboeck and published by CRC Press. This book was released on 2010-12-08 with total page 492 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

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Publisher : Cambridge University Press
ISBN 13 : 1139491504
Total Pages : 299 pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis Multiscale Modeling of Cancer by : Vittorio Cristini

Download or read book Multiscale Modeling of Cancer written by Vittorio Cristini and published by Cambridge University Press. This book was released on 2010-09-09 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

An Introduction to Physical Oncology

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Publisher : CRC Press
ISBN 13 : 1466551364
Total Pages : 204 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis An Introduction to Physical Oncology by : Vittorio Cristini

Download or read book An Introduction to Physical Oncology written by Vittorio Cristini and published by CRC Press. This book was released on 2017-06-26 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: Physical oncology has the potential to revolutionize cancer research and treatment. The fundamental rationale behind this approach is that physical processes, such as transport mechanisms for drug molecules within tissue and forces exchanged by cancer cells with tissue, may play an equally important role as biological processes in influencing progression and treatment outcome. This book introduces the emerging field of physical oncology to a general audience, with a focus on recent breakthroughs that help in the design and discovery of more effective cancer treatments. It describes how novel mathematical models of physical transport processes incorporate patient tissue and imaging data routinely produced in the clinic to predict the efficacy of many cancer treatment approaches, including chemotherapy and radiation therapy. By helping to identify which therapies would be most beneficial for an individual patient, and quantifying their effects prior to actual implementation in the clinic, physical oncology allows doctors to design treatment regimens customized to each patient’s clinical needs, significantly altering the current clinical approach to cancer treatment and improving the outcomes for patients.

Multiscale Modeling of Cancer

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Publisher :
ISBN 13 :
Total Pages : 332 pages
Book Rating : 4.:/5 (746 download)

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Book Synopsis Multiscale Modeling of Cancer by : Kevin Flores

Download or read book Multiscale Modeling of Cancer written by Kevin Flores and published by . This book was released on 2009 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Selected Topics in Cancer Modeling

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Publisher : Springer Science & Business Media
ISBN 13 : 0817647139
Total Pages : 481 pages
Book Rating : 4.8/5 (176 download)

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Book Synopsis Selected Topics in Cancer Modeling by : Nicola Bellomo

Download or read book Selected Topics in Cancer Modeling written by Nicola Bellomo and published by Springer Science & Business Media. This book was released on 2008-12-10 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Multiscale Modeling and Simulation of Shock Wave-Induced Failure in Materials Science

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Publisher : Springer
ISBN 13 : 3658211342
Total Pages : 235 pages
Book Rating : 4.6/5 (582 download)

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Book Synopsis Multiscale Modeling and Simulation of Shock Wave-Induced Failure in Materials Science by : Martin Oliver Steinhauser

Download or read book Multiscale Modeling and Simulation of Shock Wave-Induced Failure in Materials Science written by Martin Oliver Steinhauser and published by Springer. This book was released on 2018-02-24 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: Martin Oliver Steinhauser deals with several aspects of multiscale materials modeling and simulation in applied materials research and fundamental science. He covers various multiscale modeling approaches for high-performance ceramics, biological bilayer membranes, semi-flexible polymers, and human cancer cells. He demonstrates that the physics of shock waves, i.e., the investigation of material behavior at high strain rates and of material failure, has grown to become an important interdisciplinary field of research on its own. At the same time, progress in computer hardware and software development has boosted new ideas in multiscale modeling and simulation. Hence, bridging the length and time scales in a theoretical-numerical description of materials has become a prime challenge in science and technology.

Cellular Potts Models

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Publisher : CRC Press
ISBN 13 : 1466514795
Total Pages : 300 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Cellular Potts Models by : Marco Scianna

Download or read book Cellular Potts Models written by Marco Scianna and published by CRC Press. This book was released on 2013-03-26 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work shows how the cellular Potts model can be used as a framework for model building and how extended models can achieve even better biological practicality, accuracy, and predictive power. It focuses on ways to integrate and interface the basic cellular Potts model at the mesoscopic scale with approaches that accurately model microscopic dynamics. These extensions are designed to create a nested and hybrid environment, where the evolution of a biological system is realistically driven by the constant interplay and flux of information between the different levels of description.

Cell Mechanics

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Publisher : CRC Press
ISBN 13 : 1420094556
Total Pages : 484 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Cell Mechanics by : Arnaud Chauvière

Download or read book Cell Mechanics written by Arnaud Chauvière and published by CRC Press. This book was released on 2010-01-27 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ubiquitous and fundamental in cell mechanics, multiscale problems can arise in the growth of tumors, embryogenesis, tissue engineering, and more. Cell Mechanics: From Single Scale-Based Models to Multiscale Modeling brings together new insight and research on mechanical, mathematical, physical, and biological approaches for simulating the behavior

Multiscale Models in Mechano and Tumor Biology

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Author :
Publisher : Springer
ISBN 13 : 3319733710
Total Pages : 205 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Multiscale Models in Mechano and Tumor Biology by : Alf Gerisch

Download or read book Multiscale Models in Mechano and Tumor Biology written by Alf Gerisch and published by Springer. This book was released on 2018-03-16 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents and discusses the state of the art and future perspectives in mathematical modeling and homogenization techniques with the focus on addressing key physiological issues in the context of multiphase healthy and malignant biological materials. The highly interdisciplinary content brings together contributions from scientists with complementary areas of expertise, such as pure and applied mathematicians, engineers, and biophysicists. The book also features the lecture notes from a half-day introductory course on asymptotic homogenization. These notes are suitable for undergraduate mathematics or physics students, while the other chapters are aimed at graduate students and researchers.

Approaching Complex Diseases

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Publisher : Springer Nature
ISBN 13 : 3030328570
Total Pages : 493 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Approaching Complex Diseases by : Mariano Bizzarri

Download or read book Approaching Complex Diseases written by Mariano Bizzarri and published by Springer Nature. This book was released on 2020-04-17 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume – for pharmacologists, systems biologists, philosophers and historians of medicine – points to investigate new avenues in pharmacology research, by providing a full assessment of the premises underlying a radical shift in the pharmacology paradigm. The pharmaceutical industry is currently facing unparalleled challenges in developing innovative drugs. While drug-developing scientists in the 1990s mostly welcomed the transformation into a target-based approach, two decades of experience shows that this model is failing to boost both drug discovery and efficiency. Selected targets were often not druggable and with poor disease linkage, leading to either high toxicity or poor efficacy. Therefore, a profound rethinking of the current paradigm is needed. Advances in systems biology are revealing a phenotypic robustness and a network structure that strongly suggest that exquisitely selective compounds, compared with multitarget drugs, may exhibit lower than desired clinical efficacy. This appreciation of the role of polypharmacology has significant implications for tackling the two major sources of attrition in drug development, efficacy and toxicity. Integrating network biology and polypharmacology holds the promise of expanding the current opportunity space for druggable targets.

Multiscale Modeling of Tissue Growth for Cancer Prognosis

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Publisher :
ISBN 13 : 9781339718279
Total Pages : 147 pages
Book Rating : 4.7/5 (182 download)

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Book Synopsis Multiscale Modeling of Tissue Growth for Cancer Prognosis by : Mohammad Mamunur Rahman

Download or read book Multiscale Modeling of Tissue Growth for Cancer Prognosis written by Mohammad Mamunur Rahman and published by . This book was released on 2016 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cancer is a major life threatening disease in the world. With the advancement of computational mathematics, big data science and unprecedented computational power, it becomes possible to investigate the complex multiscale growth phenomenon of the tumor for cancer prognosis to provide pre-operative treatment planning and predict treatment outcome using mathematical modeling and computer simulation. The growth of biological tissue is a complex process because it involves various biophysically- and biochemically-induced events at different spatial and temporal scales. Multiscale modeling techniques allow us to incorporate important features at multiple scales to examine the tissue growth mechanism and determine the major factors affecting the growth process. The primary objective of this doctoral research is to develop a multiscale modeling framework for the growth of biological tissue and apply to tumor growth and cancer prognosis. Another objective of this study is to understand the effect of anticancer drugs on cancer cell growth, cell proliferation, and overall tumor size. The multiscale framework consists of a tissue scale model, a cellular activity and growth model and a subcellular signaling pathway model. To predict the tissue growth in the macroscopic (tissue) scale, a continuum model is constructed where the biological tissue is represented as a mixture of multiple constituents. Each of such constituents, in their solid, liquid or gas phase, are represented by either a volume fraction or concentration. The constituents interact with each other through mass and momentum exchange. The governing equations are developed based on both mass and momentum conservation laws. The constitutive equations account for tissue anisotropy, nonlinear behavior, and thermodynamic consistency. The system of partial differential equations are solved using finite element techniques. To bridge the spatial scales, each finite element is further discretized into finer cell clusters of different kinds to represent various biological cellular states at the microscopic scale to model cellular growth and proliferation by using an agent-based model to determine various activities at the cellular scale such as the cell division, cell death, phenotypical alteration, etc. The cellular scale events are also broken down and discretized temporally to model the effects of a subcellular signaling pathway (e.g. PI3K/AKT/mTOR pathway, also known as mTOR pathway) on the cellular and tissue scales. In many cancers, mTOR pathway becomes hyperactive and promotes abnormal cell proliferation. The mechanism and effects of an mTOR inhibiting drug known as rapamycin (e.g., eRapa) are tested using in silico methods. These subcellular activities are modeled using a set of ordinary differential equations. A statistical inverse algorithm is used for model calibration and validation. The Bayesian inference method accounts for the uncertainties of the model parameters, which are calibrated with the experimental observations. Generally speaking, the multiscale modeling framework presented in this dissertation may provide better understanding of the tissue growth process by providing insight on the effects of various factors at different spatiotemporal scales. It can also be potentially used to construct patient-specific tissue growth models for in silico drug testing, treatment planning, and prognosis.

Multiscale Modeling of Cancer Cell Adhesion

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Publisher :
ISBN 13 :
Total Pages : 163 pages
Book Rating : 4.:/5 (846 download)

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Book Synopsis Multiscale Modeling of Cancer Cell Adhesion by : Julie Marie Behr

Download or read book Multiscale Modeling of Cancer Cell Adhesion written by Julie Marie Behr and published by . This book was released on 2013 with total page 163 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Multiscale Modelling in Biomedical Engineering

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Publisher : John Wiley & Sons
ISBN 13 : 1119517354
Total Pages : 404 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Multiscale Modelling in Biomedical Engineering by : Dimitrios I. Fotiadis

Download or read book Multiscale Modelling in Biomedical Engineering written by Dimitrios I. Fotiadis and published by John Wiley & Sons. This book was released on 2023-05-05 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multiscale Modelling in Biomedical Engineering Discover how multiscale modeling can enhance patient treatment and outcomes In Multiscale Modelling in Biomedical Engineering, an accomplished team of biomedical professionals delivers a robust treatment of the foundation and background of a general computational methodology for multi-scale modeling. The authors demonstrate how this methodology can be applied to various fields of biomedicine, with a particular focus on orthopedics and cardiovascular medicine. The book begins with a description of the relationship between multiscale modeling and systems biology before moving on to proceed systematically upwards in hierarchical levels from the molecular to the cellular, tissue, and organ level. It then examines multiscale modeling applications in specific functional areas, like mechanotransduction, musculoskeletal, and cardiovascular systems. Multiscale Modelling in Biomedical Engineering offers readers experiments and exercises to illustrate and implement the concepts contained within. Readers will also benefit from the inclusion of: A thorough introduction to systems biology and multi-scale modeling, including a survey of various multi-scale methods and approaches and analyses of their application in systems biology Comprehensive explorations of biomedical imaging and nanoscale modeling at the molecular, cell, tissue, and organ levels Practical discussions of the mechanotransduction perspective, including recent progress and likely future challenges In-depth examinations of risk prediction in patients using big data analytics and data mining Perfect for undergraduate and graduate students of bioengineering, biomechanics, biomedical engineering, and medicine, Multiscale Modelling in Biomedical Engineering will also earn a place in the libraries of industry professional and researchers seeking a one-stop reference to the basic engineering principles of biological systems.

Computational Biology of Cancer

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Publisher : World Scientific
ISBN 13 : 9812560270
Total Pages : 268 pages
Book Rating : 4.8/5 (125 download)

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Book Synopsis Computational Biology of Cancer by : Dominik Wodarz

Download or read book Computational Biology of Cancer written by Dominik Wodarz and published by World Scientific. This book was released on 2005 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: - Provides an introduction to computational methods in cancer biology - Follows a multi-disciplinary approach

Modelling and Computational Approaches for Multi-Scale Phenomena in Cancer Research: From Cancer Evolution to Cancer Treatment

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Publisher : World Scientific Publishing Europe Limited
ISBN 13 : 9781800614376
Total Pages : 0 pages
Book Rating : 4.6/5 (143 download)

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Book Synopsis Modelling and Computational Approaches for Multi-Scale Phenomena in Cancer Research: From Cancer Evolution to Cancer Treatment by : Raluca Eftimie

Download or read book Modelling and Computational Approaches for Multi-Scale Phenomena in Cancer Research: From Cancer Evolution to Cancer Treatment written by Raluca Eftimie and published by World Scientific Publishing Europe Limited. This book was released on 2024-06-14 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cancer development and progression is the result of biological phenomena that occur across multiple temporal and spatial scales. Recent years have seen a flurry of multi-scale mathematical models developed to generate and test new biological hypotheses related to cancer development, progression, and various treatment approaches. This led to the development of new computational and analytical approaches aimed at investigating these multiscale models.This review volume summarises some of the current state of the art related to the modelling, experimental investigation and data assimilation for multiscale phenomena during cancer development, evolution and treatment, as well as computational and analytical investigation of the multi-scale models developed to reproduce the biological phenomena. The book also identifies the experimental and theoretical open problems that will have to be addressed in the near future in order to advance this field. Modelling and Computational Approaches for Multi-scale Phenomena in Cancer Research is an excellent resource for both early career and advanced researchers.

Mechanobiology

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Publisher : Elsevier
ISBN 13 : 0128179325
Total Pages : 256 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Mechanobiology by : Glen L. Niebur

Download or read book Mechanobiology written by Glen L. Niebur and published by Elsevier. This book was released on 2019-12-01 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mechanobiology: From Molecular Sensing to Disease will provide a review of the current state of understanding of mechanobiology and its role in health and disease. It covers: Current understanding of the main molecular pathways by which cells sense and respond to mechanical stimuli, A review of diseases that with known or purported mechanobiological underpinnings; The role of mechanobiology in tissue engineering and regenerative medicine; Experimental methods to capture mechanobiological phenomena; Computational models in mechanobiology. Presents our current understanding of the main molecular pathways by which cells sense and respond to mechanical stimuli Provides a review of diseases with known or purported mechanobiological underpinnings Includes the role of mechanobiology in tissue engineering and regenerative medicine Covers experimental methods to capture mechanobiological phenomena

Cancer Modelling and Simulation

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Publisher : CRC Press
ISBN 13 : 9780203494899
Total Pages : 456 pages
Book Rating : 4.4/5 (948 download)

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Book Synopsis Cancer Modelling and Simulation by : Luigi Preziosi

Download or read book Cancer Modelling and Simulation written by Luigi Preziosi and published by CRC Press. This book was released on 2003-06-18 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.