Targeted Cancer Treatment in Silico
Birkhauser Boston Inc (Verlag)
978-1-4939-4249-7 (ISBN)
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.
Natalia Komarova and Dominik Wodarz are professors at University of California, Irvine.
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.
| Erscheinungsdatum | 15.10.2016 |
|---|---|
| Reihe/Serie | Modeling and Simulation in Science, Engineering and Technology |
| Zusatzinfo | 26 Illustrations, color; 45 Illustrations, black and white; XV, 227 p. 71 illus., 26 illus. in color. |
| Verlagsort | Secaucus |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Weitere Themen ► Bioinformatik |
| Mathematik / Informatik ► Mathematik ► Angewandte Mathematik | |
| Medizin / Pharmazie ► Medizinische Fachgebiete ► Onkologie | |
| Naturwissenschaften ► Biologie | |
| ISBN-10 | 1-4939-4249-2 / 1493942492 |
| ISBN-13 | 978-1-4939-4249-7 / 9781493942497 |
| Zustand | Neuware |
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