dc.creatorMartins, M. L.
dc.creatorFerreira Jr., S. C.
dc.creatorVilela, M. J.
dc.date2018-09-28T11:59:20Z
dc.date2018-09-28T11:59:20Z
dc.date2007-06
dc.date.accessioned2023-09-27T21:50:26Z
dc.date.available2023-09-27T21:50:26Z
dc.identifier15710645
dc.identifierhttps://doi.org/10.1016/j.plrev.2007.04.002
dc.identifierhttp://www.locus.ufv.br/handle/123456789/22064
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8966907
dc.descriptionIn the past 30 years we have witnessed an extraordinary progress on the research in the molecular biology of cancer, but its medical treatment, widely based on empirically established protocols, still has many limitations. One of the reasons for that is the limited quantitative understanding of the dynamics of tumor growth and drug response in the organism. In this review we shall discuss in general terms the use of mathematical modeling and computer simulations related to cancer growth and its applications to improve tumor therapy. Particular emphasis is devoted to multiscale models which permit integration of the rapidly expanding knowledge concerning the molecular basis of cancer and the complex, nonlinear interactions among tumor cells and their microenvironment that will determine the neoplastic growth at the tissue level.
dc.formatpdf
dc.formatapplication/pdf
dc.languageeng
dc.publisherPhysics of Life Reviews
dc.relationv. 4, n. 2, p. 128- 156, jun. 2007
dc.rightsElsevier B.V.
dc.subjectCancer growth
dc.subjectSpatio-temporal pattern formation
dc.subjectMulti-scale models
dc.titleMultiscale models for the growth of avascular tumors
dc.typeArtigo


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