Calibration of Multi-Parameter Models of Avascular Tumor Growth Using Time Resolved Microscopy Data

Two of the central challenges of using mathematical models for predicting the spatiotemporal development of tumors is the lack of appropriate data to calibrate the parameters of the model, and quantitative characterization of the uncertainties in both the experimental data and the modeling process i...

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Detalles Bibliográficos
Autores principales: Lima, E. A. B. F., Ghousifam, N., Ozkan, A., Oden, J. T., Shahmoradi, A., Rylander, M. N., Wohlmuth, B., Yankeelov, T. E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6162291/
https://www.ncbi.nlm.nih.gov/pubmed/30266911
http://dx.doi.org/10.1038/s41598-018-32347-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6162291/
https://www.ncbi.nlm.nih.gov/pubmed/30266911
http://dx.doi.org/10.1038/s41598-018-32347-9

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