Differences in predictions of ODE models of tumor growth: a cautionary example

BACKGROUND: While mathematical models are often used to predict progression of cancer and treatment outcomes, there is still uncertainty over how to best model tumor growth. Seven ordinary differential equation (ODE) models of tumor growth (exponential, Mendelsohn, logistic, linear, surface, Gompert...

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Detalles Bibliográficos
Autores principales: Murphy, Hope, Jaafari, Hana, Dobrovolny, Hana M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4768423/
https://www.ncbi.nlm.nih.gov/pubmed/26921070
http://dx.doi.org/10.1186/s12885-016-2164-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4768423/
https://www.ncbi.nlm.nih.gov/pubmed/26921070
http://dx.doi.org/10.1186/s12885-016-2164-x

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