000755462 000__ 04750cam\a2200481Ii\4500 000755462 001__ 755462 000755462 005__ 20230306141849.0 000755462 006__ m\\\\\o\\d\\\\\\\\ 000755462 007__ cr\cn\nnnunnun 000755462 008__ 160524s2016\\\\sz\a\\\\ob\\\\001\0\eng\d 000755462 019__ $$a951222107 000755462 020__ $$a9783319280950$$q(electronic book) 000755462 020__ $$a3319280953$$q(electronic book) 000755462 020__ $$z9783319280936 000755462 035__ $$aSP(OCoLC)ocn950459452 000755462 035__ $$aSP(OCoLC)950459452$$z(OCoLC)951222107 000755462 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dYDXCP$$dIDEBK$$dGW5XE$$dCDX$$dOCLCF$$dAZU$$dEBLCP$$dCOO$$dN$T 000755462 049__ $$aISEA 000755462 050_4 $$aRC270.8 000755462 08204 $$a616.99/406$$223 000755462 24500 $$aSystem engineering approach to planning anticancer therapies$$h[electronic resource] /$$cAndrzej Świerniak, Marek Kimmel, Jaroslaw Smieja, Krzysztof Puszynski, Krzysztof Psiuk-Maksymowicz. 000755462 264_1 $$aSwitzerland :$$bSpringer,$$c2016. 000755462 300__ $$a1 online resource (ix, 235 pages) :$$billustrations. 000755462 336__ $$atext$$btxt$$2rdacontent 000755462 337__ $$acomputer$$bc$$2rdamedia 000755462 338__ $$aonline resource$$bcr$$2rdacarrier 000755462 504__ $$aIncludes bibliographical references and index. 000755462 5050_ $$aIntroduction -- Cell Cycle as an Object of Control -- Therapy Optimization in Population Dynamics Models -- Structured Models and Their Use in Modeling Anticancer Therapies -- Signaling Pathways Dynamics and Cancer Treatment -- Model Identification and Parameter Estimation -- Appendixes: Stability and Controllability of Dynamical Systems -- Pontryagin Maximum Principle and Optimal Control -- Bifurcation Analysis -- Numerical Implementation of the Runge Kutta and Gillespie Methods. 000755462 506__ $$aAccess limited to authorized users. 000755462 520__ $$aThis 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. 000755462 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed May 27, 2016). 000755462 650_0 $$aCancer$$xTreatment. 000755462 650_0 $$aSystems biology. 000755462 7001_ $$aŚwierniak, Andrzej,$$eauthor. 000755462 7001_ $$aKimmel, Marek,$$d1959-$$eauthor. 000755462 7001_ $$aSmieja, Jaroslaw,$$eauthor. 000755462 7001_ $$aPuszynski, Krzysztof,$$eauthor. 000755462 7001_ $$aPsiuk-Maksymowicz, Krzysztof,$$eauthor. 000755462 77608 $$iPrint version:$$aŚwierniak, Andrzej$$tSystem Engineering Approach to Planning Anticancer Therapies$$dCham : Springer International Publishing,c2016$$z9783319280936 000755462 852__ $$bebk 000755462 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-28095-0$$zOnline Access$$91397441.1 000755462 909CO $$ooai:library.usi.edu:755462$$pGLOBAL_SET 000755462 980__ $$aEBOOK 000755462 980__ $$aBIB 000755462 982__ $$aEbook 000755462 983__ $$aOnline 000755462 994__ $$a92$$bISE