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dc.contributor.authorMartins, M. L.
dc.contributor.authorFerreira Jr., S. C.
dc.contributor.authorVilela, M. J.
dc.date.accessioned2018-09-28T11:59:20Z
dc.date.available2018-09-28T11:59:20Z
dc.date.issued2007-06
dc.identifier.issn15710645
dc.identifier.urihttps://doi.org/10.1016/j.plrev.2007.04.002
dc.identifier.urihttp://www.locus.ufv.br/handle/123456789/22064
dc.description.abstractIn 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.en
dc.formatpdfpt-BR
dc.language.isoengpt-BR
dc.publisherPhysics of Life Reviewspt-BR
dc.relation.ispartofseriesv. 4, n. 2, p. 128- 156, jun. 2007pt-BR
dc.rightsElsevier B.V.pt-BR
dc.subjectCancer growthpt-BR
dc.subjectSpatio-temporal pattern formationpt-BR
dc.subjectMulti-scale modelspt-BR
dc.titleMultiscale models for the growth of avascular tumorsen
dc.typeArtigopt-BR
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