001431626 000__ 03258cam\a2200565\a\4500
001431626 001__ 1431626
001431626 003__ OCoLC
001431626 005__ 20230309003232.0
001431626 006__ m\\\\\o\\d\\\\\\\\
001431626 007__ cr\un\nnnunnun
001431626 008__ 200627s2020\\\\sz\\\\\\ob\\\\000\0\eng\d
001431626 019__ $$a1159763241$$a1233299526
001431626 020__ $$a9783030504885$$q(electronic bk.)
001431626 020__ $$a3030504883$$q(electronic bk.)
001431626 020__ $$z9783030504878
001431626 020__ $$z3030504875
001431626 035__ $$aSP(OCoLC)1161320296
001431626 040__ $$aEBLCP$$beng$$epn$$cEBLCP$$dYDX$$dGW5XE$$dOCLCF$$dNLW$$dVLB$$dUKMGB$$dOCLCO$$dOCLCQ$$dOCL$$dOCLCQ
001431626 049__ $$aISEA
001431626 050_4 $$aRC270.8$$b.B45 2020eb
001431626 08204 $$a616.9/94$$223
001431626 1001_ $$aBelfo, João P.
001431626 24510 $$aOptimal impulsive control for cancer therapy/$$cJoão P. Belfo, João M. Lemos.
001431626 264_1 $$aCham :$$bSpringer,$$c2020.
001431626 264_4 $$c©2020
001431626 300__ $$a1 online resource (ix, 102 pages)
001431626 336__ $$atext$$btxt$$2rdacontent
001431626 337__ $$acomputer$$bc$$2rdamedia
001431626 338__ $$aonline resource$$bcr$$2rdacarrier
001431626 4901_ $$aSpringerBriefs in Electrical and Computer Engineering
001431626 504__ $$aIncludes bibliographical references.
001431626 50500 $$tIntroduction --$$tPharmacokinetic and pharmacodynamical models --$$tTumor growth models --$$tOptimal impulsive control --$$tCancer therapy optimization --$$tComplementary aspects --$$tConclusions and research topics.
001431626 506__ $$aAccess limited to authorized users.
001431626 520__ $$aThis Springer brief discusses the use of control engineering methods to plan a cancer therapy which tends to reduce tumour size in patients, striking a balance that minimizes the toxic effects of the treatment. The authors address the design and computation of impulsive control therapies, a methodology previously underexplored in the application of control methods to medical modelling. This allows simulation of such discrete events as taking a pill rather than relying on the supply of therapy being continuous and steady. The book begins with an introduction to the topic, before moving onto pharmacokinetic, pharmacodynamical and tumour-growth models and explaining how they describe the relationship between a certain therapy plan and the evolution of cancer. This is placed firmly in the context of work introducing impulsive differential equations. The final chapter summarizes the research presented and suggests future areas of research to encourage readers in taking the subject forward.
001431626 588__ $$aDescription based on print version record.
001431626 650_0 $$aCancer$$xTreatment$$xComputer simulation.
001431626 650_0 $$aCancer$$xTreatment$$xTechnological innovations.
001431626 650_0 $$aMathematical models.
001431626 650_6 $$aCancer$$xTraitement$$xSimulation par ordinateur.
001431626 650_6 $$aModèles mathématiques.
001431626 655_0 $$aElectronic books.
001431626 7001_ $$aLemos, João M.
001431626 77608 $$iPrint version:$$aBelfo, João P.$$tOptimal Impulsive Control for Cancer Therapy$$dCham : Springer,c2020$$z9783030504878
001431626 830_0 $$aSpringerBriefs in electrical and computer engineering.
001431626 852__ $$bebk
001431626 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-50488-5$$zOnline Access$$91397441.1
001431626 909CO $$ooai:library.usi.edu:1431626$$pGLOBAL_SET
001431626 980__ $$aBIB
001431626 980__ $$aEBOOK
001431626 982__ $$aEbook
001431626 983__ $$aOnline
001431626 994__ $$a92$$bISE