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Books > Science & Mathematics > Biology, life sciences > Cellular biology
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System Engineering Approach to Planning Anticancer Therapies (Paperback, Softcover reprint of the original 1st ed. 2016)
Loot Price: R1,469
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System Engineering Approach to Planning Anticancer Therapies (Paperback, Softcover reprint of the original 1st ed. 2016)
Expected to ship within 10 - 15 working days
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This book focuses on the analysis of cancer dynamics and the
mathematically based synthesis of anticancer therapy. It summarizes
the current state-of-the-art in this field and clarifies common
misconceptions about mathematical modeling in cancer. Additionally,
it encourages closer cooperation between engineers, physicians and
mathematicians by showing the clear benefits of this without
stating unrealistic goals. Development of therapy protocols is
realized from an engineering point of view, such as the search for
a solution to a specific control-optimization problem. Since in the
case of cancer patients, consecutive measurements providing
information about the current state of the disease are not
available, the control laws are derived for an open loop structure.
Different forms of therapy are incorporated into the models, from
chemotherapy and antiangiogenic therapy to immunotherapy and gene
therapy, but the class of models introduced is broad enough to
incorporate other forms of therapy as well. The book begins with an
analysis of cell cycle control, moving on to control effects on
cell population and structured models and finally the signaling
pathways involved in carcinogenesis and their influence on therapy
outcome. It also discusses the incorporation of intracellular
processes using signaling pathway models, since the successful
treatment of cancer based on analysis of intracellular processes,
might soon be a reality. It brings together various aspects of
modeling anticancer therapies, which until now have been
distributed over a wide range of literature. Written for
researchers and graduate students interested in the use of
mathematical and engineering tools in biomedicine with special
emphasis on applications in cancer diagnosis and treatment, this
self-contained book can be easily understood with only a minimal
basic knowledge of control and system engineering methods as well
as the biology of cancer. Its interdisciplinary character and the
authors' extensive experience in cooperating with clinicians and
biologists make it interesting reading for researchers from control
and system engineering looking for applications of their knowledge.
Systems and molecular biologists as well as clinicians will also
find new inspiration for their research.
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