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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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| Publicado en: | BMC Cancer |
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| Autores principales: | , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
BioMed Central
2016
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4768423/ https://ncbi.nlm.nih.gov/pubmed/26921070 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12885-016-2164-x |
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