Hybrid optimal scheduling for intermittent androgen suppression of prostate cancer

DOI10.1063/1.3526968zbMath1311.92103OpenAlexW2004052104WikidataQ83094656 ScholiaQ83094656MaRDI QIDQ5251346

Kazuyuki Aihara, Yoshito Hirata, Nicholas Bruchovsky, Mario di Bernardo

Publication date: 20 May 2015

Published in: Chaos: An Interdisciplinary Journal of Nonlinear Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1063/1.3526968

zbMATH Keywords

prostate cancerintermittent androgen suppression

Mathematics Subject Classification ID

Deterministic scheduling theory in operations research (90B35) Dynamical systems in biology (37N25) Medical applications (general) (92C50)

Related Items (9)

Optimal design of personalized prostate cancer therapy using infinitesimal perturbation analysis ⋮ Optimization therapy by coupling intermittent androgen suppression with impulsive chemotherapy for a prostate cancer model ⋮ A partial differential equation model and its reduction to an ordinary differential equation model for prostate tumor growth under intermittent hormone therapy ⋮ Global dynamics of a model of joint hormone treatment with dendritic cell vaccine for prostate cancer ⋮ Parameter estimation and optimal scheduling algorithm for a mathematical model of intermittent androgen suppression therapy for prostate cancer ⋮ Ability of intermittent androgen suppression to selectively create a non-trivial periodic orbit for a type of prostate cancer patients ⋮ Practically scheduling hormone therapy for prostate cancer using a mathematical model ⋮ The parameter Houlihan: a solution to high-throughput identifiability indeterminacy for brutally ill-posed problems ⋮ Nonlinear systems identification by combining regression with bootstrap resampling

Cites Work

• A nonlinear model with competition between prostate tumor cells and its application to intermittent androgen suppression therapy of prostate cancer
• Bifurcation analysis on a hybrid systems model of intermittent hormonal therapy for prostate cancer
• A mathematical model of intermittent androgen suppression for prostate cancer
• Piecewise affine systems modelling for optimizing hormone therapy of prostate cancer
• Mathematical modelling of prostate cancer growth and its application to hormone therapy

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