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020 _a9789811586408
_9978-981-15-8640-8
024 7 _a10.1007/978-981-15-8640-8
_2doi
050 4 _aR856-857
072 7 _aMQW
_2bicssc
072 7 _aTEC059000
_2bisacsh
072 7 _aMQW
_2thema
082 0 4 _a610.28
_223
100 1 _aPadmanabhan, Regina.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_951272
245 1 0 _aMathematical Models of Cancer and Different Therapies
_h[electronic resource] :
_bUnified Framework /
_cby Regina Padmanabhan, Nader Meskin, Ala-Eddin Al Moustafa.
250 _a1st ed. 2021.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2021.
300 _aXVI, 256 p. 35 illus., 29 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSeries in BioEngineering,
_x2196-887X
505 0 _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.
520 _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.
650 0 _aBiomedical engineering.
_93292
650 0 _aBiomathematics.
_95084
650 0 _aCancer.
_915213
650 1 4 _aBiomedical Engineering and Bioengineering.
_931842
650 2 4 _aMathematical and Computational Biology.
_932033
650 2 4 _aCancer Biology.
_936669
700 1 _aMeskin, Nader.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_951273
700 1 _aMoustafa, Ala-Eddin Al.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_951274
710 2 _aSpringerLink (Online service)
_951275
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811586392
776 0 8 _iPrinted edition:
_z9789811586415
776 0 8 _iPrinted edition:
_z9789811586422
830 0 _aSeries in BioEngineering,
_x2196-887X
_951276
856 4 0 _uhttps://doi.org/10.1007/978-981-15-8640-8
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c78740
_d78740