Targeted Cancer Treatment in Silico

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Sprache: Englisch

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Beschreibung

Countless medical researchers over the past century have been occupied by the search for a cure of cancer. So far, they have developed and implemented a wide range of treatment techniques, including surgery, chemo- and radiotherapy, antiangiogenic drugs, small molecule inhibitors, and oncolytic viruses. However, patterns of these treatments' effectiveness remain largely unclear, and a better understanding of how cancer therapies work has become a key research goal. Cancer Treatment in Silico provides the first in-depth study of approaching this understanding by modeling cancer treatments, both mathematically and through computer simulations.
The main goal of this book is to help expose students and researchers to in silico methods of studying cancer. It is intended for both the applied mathematics and experimental oncology communities, as mathematical models are playing an increasingly important role to supplement laboratory biology in the fight against cancer. Written at a level that generally requires little technical background, the work will be a valuable resource for scientists and students alike.

Über den Autor

Natalia Komarova and Dominik Wodarz are professors at University of California, Irvine.

Zusammenfassung

Provides an original look at the application of mathematical tools to specific questions in oncology

Written by two leading experts in the field, with unique credentials in cancer modeling

A valuable resource for a diverse range of students, applied mathematicians, and researchers in cancer treatment

Largely accessible to scientists without a strong background in mathematics

Periodic exercises and simulations are appealing for textbook use

Inhaltsverzeichnis

Background and Scope of the Book.- Part I Treatment of Cancer with Small Molecule Inhibitors.- An Introduction to Small Molecule Inhibitors and Chronic Myeloid Leukemia.- Basic Dynamics of Chronic Myeloid Leukemia During Imatinib Treatment.- Stochastic Modeling of Cellular Growth, Treatment, and Resistance Generation.- Evolutionary Dynamics of Drug Resistant Mutants in Targeted Treatment of CML.- Effect of Cellular Quiescence on the Evolution of Drug Resistance in CML.- Combination Therapies: Short term versus Long term Strategies.- Cross Resistance: Treatment and Modeling.- Mathematical Modeling of Cyclic Cancer Treatments.- Part II Treatment of Cancer with Oncolytic Viruses.- Introduction to Oncolytic Viruses.- Basic Dynamics of Oncolytic Viruses.- Mitotic Virus Transmission and Immune Responses.- Axiomatic Approaches to Oncolytic Virus Modeling.- Spatial Oncolytic Virus Dynamics.- Oncolytic Viruses and the Eradication of Drug-resistant Tumor Cells.

Details

Erscheinungsjahr:	2013
Fachbereich:	Allgemeines
Genre:	Importe , Mathematik
Rubrik:	Naturwissenschaften & Technik
Medium:	Buch
Reihe:	Modeling and Simulation in Science, Engineering and Technology
Inhalt:	xv 227 S. 45 s/w Illustr. 26 farbige Illustr. 227 p. 71 illus. 26 illus. in color.
ISBN-13:	9781461483007
ISBN-10:	146148300X
Sprache:	Englisch
Ausstattung / Beilage:	HC runder Rücken kaschiert
Einband:	Gebunden
Autor:	Wodarz, Dominik Komarova, Natalia L.
Hersteller:	Springer US Springer New York Springer US, New York, N.Y. Modeling and Simulation in Science, Engineering and Technology
Verantwortliche Person für die EU:	Springer Basel AG in Springer Science + Business Media, Heidelberger Platz 3, D-14197 Berlin, juergen.hartmann@springer.com
Maße:	241 x 160 x 19 mm
Von/Mit:	Dominik Wodarz (u. a.)
Erscheinungsdatum:	15.11.2013
Gewicht:	0,535 kg

Artikel-ID: 105903869