Targeted Cancer Treatment in Silico
(Sprache: Englisch)
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,...
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Klappentext zu „Targeted Cancer Treatment in Silico “
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.
Inhaltsverzeichnis zu „Targeted Cancer Treatment in Silico “
1 Introduction: Mathematical Modeling of CancerPart I Traditional Chemotherapy
2 Facts About Traditional Chemotherapy
3 DNA Damage and Genetic Instability
4 Modeling Competition Dynamics and Mutation Cascades
5 Can Competition be Reversed by Chemotherapy?
Part II Small Molecule Inhibitors
6 Facts About Small Molecule Inhibitors
7 Stochastic Modeling of Colony Growth, Drug Treatment and Resistance
8 Drug Resistance the Luria-Delbruck Distribution
9 Combinations of Drugs
10 Cellular Quiescence
11 Cross-Resistance
Part III Oncolytic Viruses
12 Viruses as Antitumor Weapons
13 Basic Predator-Prey Dynamics in Oncolytic Viruses
14 Classes of ODE Models Describing Viral Treatment of Cancer
15 Oncolytic Viruses and Drug Resistance
16 Spatial Dynamics of Viral Spread and Cancer Treatment
Part IV Antiangiogenic Treatment Strategies
17 Angiogenesis in Cancer
18 Spatial Dynamics of Tumor Promoters and Inhibitors
Autoren-Porträt von Natalia L. Komarova, Dominik Wodarz
Natalia Komarova and Dominik Wodarz are professors at University of California, Irvine.
Bibliographische Angaben
- Autoren: Natalia L. Komarova , Dominik Wodarz
- 2013, 2014, XV, 227 Seiten, 26 farbige Abbildungen, Maße: 15,8 x 24 cm, Gebunden, Englisch
- Verlag: Springer, Berlin
- ISBN-10: 146148300X
- ISBN-13: 9781461483007
Sprache:
Englisch
Pressezitat
From the reviews:"The intended audience includes advanced undergraduate and graduate students in applied mathematics as well as in the field of biology with a special interest in oncology. It could serve as a guide to scientists and researchers in the field of oncology and therapeutics. ... This is the first in-depth study of mathematical and computational approaches used to understand cancer therapies. The crisp language, well-structured chapters, and precise examples are the highlights of this book." (Parthiv Amin, Doody's Book Reviews, March, 2014)
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