Multiscale modeling of cancer an integrated experimental and mathematical modeling approach by Vittorio Cristini

Cover of: Multiscale modeling of cancer | Vittorio Cristini

Published by Cambridge University Press in Cambridge .

Written in English

Read online

Edition Notes

Includes bibliographical references and index.

Book details

StatementVittorio Cristini, John Lowengrub
ContributionsLowengrub, John
Classifications
LC ClassificationsRC267 .C75 2010
The Physical Object
Paginationp. ;
ID Numbers
Open LibraryOL24383578M
ISBN 109780521884426
LC Control Number2010017932
OCLC/WorldCa567165938

Download Multiscale modeling of cancer

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 Cited by:   Buy Multiscale Modeling of Cancer: An Integrated Experimental and Mathematical Modeling Approach by Vittorio Cristini, John Lowengrub (ISBN: ) from Amazon's Book Store.

Everyday low prices and free delivery on eligible : John Lowengrub Vittorio Cristini. The ultimate goal of multiscale modeling and simulation approaches is their use in clinical practice, such as supporting patient-specific treatment optimization.

This volume covers state-of-the-art methods of multiscale cancer modeling and addresses the 4/5(1). Multiscale Cancer Modeling (Chapman & Hall/CRC Mathematical and Computational Biology Book 34) - Kindle edition by Deisboeck, Thomas S., Stamatakos, Georgios S. Download it once and read it on your Kindle device, PC, phones or tablets.

Use features like bookmarks, note taking and highlighting while reading Multiscale Cancer Modeling (Chapman & Hall/CRC Mathematical and 4/5(1). PDF | Breast cancer remains the second leading cause of cancer death in women, exceeded only by lung cancer.

Specifically, triple-negative breast cancer | Find, read and cite all the research. The ultimate goal of multiscale modeling and simulation approaches is their use in clinical practice, such as supporting patient-specific treatment optimization. This volume covers state-of-the-art methods of multiscale cancer modeling and addresses the field’s potential as well as future challenges.

DOI link for Multiscale Cancer Modeling. Multiscale Cancer Modeling book. Multiscale Cancer Modeling. DOI link for Multiscale Cancer Modeling. Multiscale Cancer Modeling book. Edited By Thomas S. Deisboeck, Georgios Stamatakos. Edition 1st Edition. First Published eBook Published 8 December Cited by: Multiscale Modeling of Cancer An Integrated Experimental and Mathematical Modeling Approach Mathematical modeling, analysis, and simulation are set to play crucial roles in explain-ing tumor behavior and the uncontrolled growth of cancer cells over multiple time and spatial scales.

Simulating cancer behavior across multiple biological scales in space and time, i.e., multiscale cancer modeling, is increasingly being recognized as a powerful tool to refine hypotheses, focus.

Multiscale Cancer Modeling 1st Edition Read & Download - By Thomas S Deisboeck,Georgios S Stamatakos Multiscale Cancer Modeling Cancer is a complex disease process that spans multiple scales in space and time. Driven by cutti - Read Online Books at A Hybrid Multiscale Model for Cancer Invasion of the Extracellular Matrix.

The ability to locally degrade the extracellular matrix (ECM) and interact with the tumor microenvironment is a key process distinguishing cancer cells from normal cells, and is a critical step in the metastatic spread of the tumor.

Multiscale modeling of cancer: an integrated experimental and mathematical modeling approach 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.

Get this from a library. Multiscale modeling of cancer: an integrated experimental and mathematical modeling approach. [Vittorio Cristini; John Lowengrub] -- "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.

Guiot, P.P. Delsanto and A.S. Gliozzi --Multi-scale mathematical modelling of vascular tumour growth: an exercise in transatlantic cooperation / Mark A.J. Chaplain [and others] --A multiscale simulation framework for modeling solid tumor growth with an explicit vessel network / S.

Hirsch [and others] --Building stochastic models for cancer. DOI link for Multiscale Cancer Modeling. Multiscale Cancer Modeling book. Multiscale Cancer Modeling. DOI link for Multiscale Cancer Modeling.

Multiscale Cancer Modeling book. Edited By Thomas S. Deisboeck, Georgios Stamatakos. Edition 1st Edition. First Published eBook Published 8 December Cited by: 1.

Multiscale Modeling and Mathematical Problems Related to Cancer modeling is an highly challenging frontier of applied mathematics. It refers to complex phenomena that above books and issues.

Specifically. Cancer phenomena appear at different scales from the subcellular to the macroscopic one. Mathematical. Guiot, P.P. Delsanto and A.S. Gliozzi --Multiscale mathematical modelling of vascular tumour growth: an exercise in transatlantic cooperation / Mark A.J.

Chaplain [and others] --A multiscale simulation framework for modeling solid tumor growth with an explicit vessel network / S. Hirsch [and others] --Building stochastic models for cancer. By Vittorio Cristini Multiscale Modeling of Cancer: An Integrated Experimental and Mathematical Modeling Approach (1st First Edition) [Hardcover] on *FREE* shipping on qualifying offers.

By Vittorio Cristini Multiscale Modeling of Cancer: An Integrated Experimental and Mathematical Modeling Approach (1st First Edition) [Hardcover]5/5(1). Buy Multiscale Cancer Modeling (Chapman & Hall/CRC Mathematical & Computational Biology) (Chapman & Hall/CRC Mathematical Biology Series) 1 by Deisboeck, Thomas S., Stamatakos, Georgios S.

(ISBN: ) from Amazon's Book Store. Everyday low prices and free delivery on eligible s: 1. The book reviews metal additive materials and processes and discusses multiscale/multiphysics modeling strategies. In addition, coverage of modeling and simulation of AM process in order to understand the process-structure-property relationship is reviewed, along with the modeling of morphology evolution, phase transformation, and defect.

A Multiscale, Cell-Based Framework for Modeling Cancer Development. Computational Science – ICCS() Modeling the effects of Cited by:   Furthermore, methods from other modeling communities, such as the Heterogeneous Multiscale Method (HMM, e.g., ()), can provide useful insight into efficient numerical methods that may be incorporated into the development of multiscale cancer models as well.

By drawing on the strengths of these potentially very useful methods and Cited by: often components of multiscale models (see [16], [6], and [8]). Rather than spend the entire article in the land of generalities with random pointers to the literature, I will next give a description of a useful, simple, and flexible model: multitype branching processes.

The types represent stages in the cancer. Incorporating continuum mechanics, quantum mechanics, statistical mechanics, atomistic simulations and multiscale techniques, the book explains many of the key theoretical ideas behind multiscale modeling.

Classical topics are blended with new techniques to demonstrate the connections between different fields and highlight current research s: 5.

Multiscale Modeling of Vascular Dynamics of Micro- and Nano-particles. Authors Huilin Ye, Zhiqiang Shen and Ying Li. Published December PDF book, Multiscale Modeling of Vascular Dynamics of Micro- and Nano-particles.

PDF book, Lung Cancer and. Scale ranges. A multiscale cancer ABM attempts to integrate across many spatiotemporal scales (from atomic to molecular, cellular, multicellular, organ, up to multi-organ systems) to provide a more complete and accurate representation of a variety of phenomena including cancer initiation, growth, invasion, and metastasis [].We only briefly describe the general methods for modeling cancer.

Abstract. This review of multiscale modeling covers a brief history of various multiscale methodologies related to solid materials and the associated experimental influences, the various influence of multiscale modeling on different disciplines, and some examples of multiscale modeling in.

This book reviews the state-of-the-art in multiscale computer modeling, in terms of both accomplishments and challenges. The information in the book is particularly useful for biomedical engineers, medical physicists and researchers in systems biology, mathematical biology, micro-biomechanics and biomaterials who are interested in how to bridge between traditional biomedical.

Multiscale Biomechanics provides new insights on multiscale static and dynamic behavior of both soft and hard biological tissues, including bone, the intervertebral disk, biological membranes and tendons. The physiological aspects of bones and biological membranes are introduced, along with micromechanical models used to compute mechanical.

works for building multiscale cancer progression models capa-ble of integrating a hierarchy of processes at varying length and time scales. Most cancer models and multiscale systems [11,13,16–18,25–30] primarily produce 1D and 2D simula-tions that are limited in their ability to capture complex in vivo tumor morphologies and microenvironment.

The models in this book allow different degrees of smoothness of the stochastic processes at the different levels of resolution; The statistical analysis of multiscale models based on the Bayesian paradigm in the book allow a full amount of uncertainty; Contains implicit multiscale models implementable with parallel computation and genetic.

* Multiphase models of tumor growth * Mathematical modeling of breast carcinogenesis * Predictive models in tumor immunology * Multiscale modeling of solid tumor growth.

Selected Topics in Cancer Modeling is an excellent reference for researchers, practitioners, and graduate students in applied mathematics, mathematical biology, and related.

is a platform for academics to share research papers. Multiscale models have been proposed as an improvement of classical eddy-viscosity models because those tend to dissipate too much the largest scale, which are well resolved by the mesh (as it is the purpose of an LES). Hughes et al.

() proposed a model, which only acts on the high wavenumber range of the resolved field (i.e., on the smallest resolved scales). A wonderful compilation of recent work in multiscale modeling has been organized in a book edited by Deisboeck and Stamatakos.

31 The individual chapters (authored by several groups) describe the application of agent based and continuum modeling strategies to study several cancer types, including breast by: As multi-scale modeling is a computational technique for solving problems involving multiple scales, such as how a flammable vapor cloud might behave if ignited, this book provides information on the fundamental topics of toxic, fire, and air explosion modeling, as well as modeling jet and pool fires using computational fluid dynamics.

Buy Computational Biology of Cancer: Lecture Notes and Mathematical Modeling by Wodarz, Dominik, Komarova, Natalia (ISBN: ) from Amazon's Book Store. Everyday low prices and free delivery on eligible orders.

Computational Immunology: Models and Tools encompasses the methodological framework and application of cutting-edge tools and techniques to study immunological processes at a systems level, along with the concept of multi-scale modeling.

The book's emphasis is on selected cases studies and application of the most updated technologies in computational modeling, discussing topics such as.

Multiscale modeling has been used to explain the discovery of molecular targets in cancer. 38, 59 Wang et al extensively studied the identification of molecular therapeutic targets of high value via multiscale modeling in combination with cross-scale agent-based analytical techniques and its associated challenges in terms of data heterogeneity Cited by: 6.

A multiscale mathematical model of cancer, and its use in analyzing irradiation therapies Benjamin Ribba, 1 Thierry Colin, 2 and Santiago Schnell 3 1 Institute for Theoretical Medicine and Clinical Pharmacology Department, Faculty of Medicine R.T.H Laennec, University of Lyon, Paradin St., P.O.BLyon Ce FranceCited by:.

Oncolytic viruses (OV) are viruses that can replicate selectively within cancer cells and destroy them. While the past few decades have seen significant progress related to the use of these viruses in clinical contexts, the success of oncolytic therapies is dampened by the complex spatial tumour-OV interactions.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.

3. Modeling cancer through multiscale approaches. The aim of this section is to briefly review some of the multiscale models that have been used to study cancer growth.

It is focused on the avascular stage of tumor progression, and other aspects of the disease modeling can be reviewed, for example, in references.Cited by:

93363 views Saturday, November 21, 2020