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Tutorials in Mathematical Biosciences III : Cell Cycle, Proliferation, and Cancer / edited by Avner Friedman.

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Lecture Notes In Mathematics Available online

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Format:
Book
Contributor:
Friedman, Avner, editor.
SpringerLink (Online service)
Series:
Lecture notes in mathematics (Springer-Verlag). Mathematical biosciences subseries 2524-6771 ; 1872.
Mathematical Biosciences Subseries, 2524-6771 ; 1872
Language:
English
Subjects (All):
Differential equations.
Differential equations, Partial.
Mathematical optimization.
Physiology--Mathematics.
Physiology.
Mathematical and Computational Biology.
Ordinary Differential Equations.
Partial Differential Equations.
Calculus of Variations and Optimal Control; Optimization.
Physiological, Cellular and Medical Topics.
Local Subjects:
Mathematical and Computational Biology.
Ordinary Differential Equations.
Partial Differential Equations.
Calculus of Variations and Optimal Control; Optimization.
Physiological, Cellular and Medical Topics.
Physical Description:
1 online resource (VII, 246 pages).
Contained In:
Springer eBooks
Place of Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006.
System Details:
text file PDF
Summary:
This volume introduces some basic mathematical models for cell cycle, proliferation, cancer, and cancer therapy. Chapter 1 gives an overview of the modeling of the cell division cycle. Chapter 2 describes how tumor secretes growth factors to form new blood vessels in its vicinity, which provide it with nutrients it needs in order to grow. Chapter 3 explores the process that enables the tumor to invade the neighboring tissue. Chapter 4 models the interaction between a tumor and the immune system. Chapter 5 is concerned with chemotherapy; it uses concepts from control theory to minimize obstacles arising from drug resistance and from cell cycle dynamics. Finally, Chapter 6 reviews mathematical results for various cancer models.
Contents:
Modeling the Cell Division Cycle (B. Aguda)
Angiogenesis - A Biochemical/Mathematical Prospective (H. A. Levine and M. Nilsen-Hamilton)
Spatio-Temporal Models of the uPA System and Tissue Invasion (G. Lolas)
Mathematical Modeling of Spatio-Temporal Phenomena in Tumor Immunology (M. Chaplain and A. Matzavinos)
Control Theory Approach to Cancer Chemotherapy: Benefiting from Phase Dependence and Overcoming Drug Resistance (M. Kimmel and A. Swierniak)
Cancer Models and their Mathematical Analysis (A. Friedman).
Other Format:
Printed edition:
ISBN:
9783540324157
Access Restriction:
Restricted for use by site license.

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