Modeling biomarker dynamics with implications for the treatment of prostate cancer.
Hedican, Erin B., Kemper, John T., Lanie, Nicole M. (2007)
Computational & Mathematical Methods in Medicine
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Displaying similar documents to “Improving Cancer Therapy by Doxorubicin and Granulocyte Colony-Stimulating Factor: Insights from a Computerized Model of Human Granulopoiesis”
Modeling biomarker dynamics with implications for the treatment of prostate cancer.
A Cost-Effectiveness-Assessing Model of Vaccination for Varicella and Zoster
M. Comba, S. Martorano-Raimundo, E. Venturino (2012)
Mathematical Modelling of Natural Phenomena
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A decision analytical model is presented and analysed to assess the effectiveness and cost-effectiveness of routine vaccination against varicella and herpes-zoster, or shingles. These diseases have as common aetiological agent the varicella-zoster virus (VZV). Zoster can more likely occur in aged people with declining cell-mediated immunity. The general concern is that universal varicella vaccination might lead to more cases of zoster:...
Evidence that natural immunity to breast cancer and prostate cancer exists in the majority of their risk populations is predicted by a novel, inherently saturated, ordered mutation model.
Kramer, Ivan (2008)
Computational & Mathematical Methods in Medicine
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Fluid-retention side-effects of the chemotherapy-supportive treatment interleukin-11: mathematical modelling of putative underlying mechanisms.
Kheifetz, Yuri, Elishmereni, Moran, Horowitz, Smadar, Agur, Zvia (2006)
Computational & Mathematical Methods in Medicine
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Stochastic models of progression of cancer andtheir use in controlling cancer-related mortality
Marek Kimmel, Olga Gorlova (2003)
International Journal of Applied Mathematics and Computer Science
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A construction of a realistic statistical model of lung cancer risk and progression is proposed. The essential elements of the model are genetic and behavioral determinants of susceptibility, progression of the disease from precursor lesions through early (localized) tumors to disseminated disease, detection by various modalities, and medical intervention. Using model estimates as a foundation, mortality reduction caused by early-detection and intervention programs can be predicted under...
HIV-1 integrase-DNA interactions investigated by molecular modelling.
Fenollar-Ferrer, C., Carnevale, V., Raugei, S., Carloni, P. (2008)
Computational & Mathematical Methods in Medicine
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Identification problem for stochastic models with application to carcinogenesis, cancer detection and radiation biology.
Hanin, L.G. (2002)
Discrete Dynamics in Nature and Society
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Tumour angiogenesis model with variable vessels' effectiveness
Jan Poleszczuk, Iwona Skrzypczak (2011)
Applicationes Mathematicae
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We propose a model of vascular tumour growth, which generalises the well recognised model formulated by Hahnfeldt et al. in 1999. Our model is based on the same idea that the carrying capacity for any solid tumour depends on its vessel density but it also incorporates vasculature quality which may be lost during angiogenesis as recognised by Jain in 2005. In the model we assume that the loss of vessel quality affects the diffusion coefficient inside the tumour. We analyse basic mathematical...