LEADER 03413oam 2200481 450 001 9910483024703321 005 20210415163307.0 010 $a981-15-8640-3 024 7 $a10.1007/978-981-15-8640-8 035 $a(CKB)4100000011558715 035 $a(MiAaPQ)EBC6382703 035 $a(DE-He213)978-981-15-8640-8 035 $a(PPN)258865938 035 $a(EXLCZ)994100000011558715 100 $a20210415d2021 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMathematical models of cancer and different therapies $eunified framework /$fRegina Padmanabhan, Nader Meskin, Ala-Eddin Al Moustafa 205 $a1st ed. 2021. 210 1$aGateway East, Singapore :$cSpringer,$d[2021] 210 4$d©2021 215 $a1 online resource (XVI, 256 p. 35 illus., 29 illus. in color.) 225 1 $aSeries in BioEngineering,$x2196-8861 311 $a981-15-8639-X 327 $aBackground -- Time series data to mathematical model -- Chemotherapy models -- Immunotherapy models -- Anti-angiogenic therapy models -- Radiotherapy Models -- Hormone therapy models -- Miscellaneous therapy models -- Combination therapy models -- Control stratergies used for cancer therapy -- Conclusions. 330 $aThis book provides a unified framework for various currently available mathematical models that are used to analyze progression and regression in cancer development, and to predict its dynamics with respect to therapeutic interventions. Accurate and reliable model representations of cancer dynamics are milestones in the field of cancer research. Mathematical modeling approaches are becoming increasingly common in cancer research, as these quantitative approaches can help to validate hypotheses concerning cancer dynamics and thus elucidate the complexly interlaced mechanisms involved. Even though the related conceptual and technical information is growing at an exponential rate, the application of said information and realization of useful healthcare devices are lagging behind. In order to remedy this discrepancy, more interdisciplinary research works and course curricula need to be introduced in academic, industrial, and clinical organizations alike. To that end, this book reformulates most of the existing mathematical models as special cases of a general model, allowing readers to easily get an overall idea of cancer dynamics and its modeling. Moreover, the book will help bridge the gap between biologists and engineers, as it brings together cancer dynamics, the main steps involved in mathematical modeling, and control strategies developed for cancer management. This also allows readers in both medical and engineering fields to compare and contrast all the therapy-based models developed to date using a single source, and to identify unexplored research directions. 410 0$aSeries in BioEngineering,$x2196-8861 606 $aCancer$xMathematical models 615 0$aCancer$xMathematical models. 676 $a616.99400113 700 $aPadmanabhan$b Regina$01225157 702 $aMeskin$b Nader 702 $aAl Moustafa$b Ala-Eddin 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bUtOrBLW 906 $aBOOK 912 $a9910483024703321 996 $aMathematical models of cancer and different therapies$92844680 997 $aUNINA