Parameter identification of a model for prostate cancer treated by intermittent therapy

DOI10.1016/J.JTBI.2018.10.004zbMath1406.92292OpenAlexW2894713839WikidataQ57187256 ScholiaQ57187256MaRDI QIDQ1716890

Christophe Letellier, Clément Draghi, Alain Tolédano, Fabrice Denis

Publication date: 5 February 2019

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jtbi.2018.10.004

zbMATH Keywords

genetic algorithmindividualized mathematical modelintermittent hormone therapymodelling PSA evolution

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Cites Work

• A nonlinear competitive model of the prostate tumor growth under intermittent androgen suppression
• Discovering independent parameters in complex dynamical systems
• A cancer model for the angiogenic switch
• The dynamics of an optimally controlled tumor model: A case study
• What can be learned from a chaotic cancer model?
• Development of a mathematical model that predicts the outcome of hormone therapy for prostate cancer
• The union between structural and practical identifiability makes strength in reducing oncological model complexity: a case study
• Spatial avascular growth of tumor in a homogeneous environment
• A mathematical model of intermittent androgen suppression for prostate cancer
• Comparison between mathematical models of intermittent androgen suppression for prostate cancer

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