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Optimal control problems for the Gompertz model under the Norton-Simon hypothesis in chemotherapy

Abstract: We study a collection of problems associated with the optimization of cancer chemotherapy treatments, under the assumptions of Gomperztian-type tumor growth and that the drug killing effect is proportional to the rate of growth for the untreated tumor (Norton-Simon hypothesis). Classical pharmacokinetics and different pharmacodynamics (Skipper and Emax) are considered, together with a toxicity limit or the penalization of the accumulated drug effect. Existence and uniqueness of the optimal control is proved in some cases, while in others the total amount of drug is the unique relevant aspect to take into account and the existence of an infinite number of optimal controls is shown. In all cases, explicit expressions for the solutions are derived in terms of the problem data. Finally, numerical results of illustrative examples and some conclusions are presented.

 Autoría: Fernández L., Pola C.,

 Fuente: Discrete and Continuous Dynamical Systems - Series B, 2019, 24(6), 2577-2612

 Editorial: American Institute of Mathematical Sciences

 Año de publicación: 2019

 Nº de páginas: 36

 Tipo de publicación: Artículo de Revista

 DOI: 10.3934/dcdsb.2018266

 ISSN: 1531-3492,1553-524X

 Proyecto español: MTM2014-57531-P

 Url de la publicación: https://doi.org/10.3934/dcdsb.2018266