Asymptotic analysis and optimal control of an integro-differential system modelling healthy and cancer cells exposed to chemotherapyReport as inadecuate




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1 MAMBA - Modelling and Analysis for Medical and Biological Applications LJLL - Laboratoire Jacques-Louis Lions, Inria de Paris 2 KAUST - King Abdullah University of Science and Technology 3 CaGE - Control And GEometry LJLL - Laboratoire Jacques-Louis Lions, Inria de Paris 4 LJLL - Laboratoire Jacques-Louis Lions

Abstract : We consider a system of two coupled integro-differential equations modelling populations of healthy and cancer cells under therapy. Both populations are structured by a phenotypic variable, representing their level of resistance to the treatment. We analyse the asymptotic behaviour of the model under constant infusion of drugs. By designing an appropriate Lyapunov function, we prove that both densities converge to Dirac masses. We then define an optimal control problem, by considering all possible infusion protocols and minimising the number of cancer cells over a prescribed time frame. We provide a quasi-optimal strategy and prove that it solves this problem for large final times. For this modelling framework, we illustrate our results with numerical simulations, and compare our optimal strategy with periodic treatment schedules.

Keywords : Integro-differential equations Optimal control Mathematical oncology





Author: Camille Pouchol - Jean Clairambault - Alexander Lorz - Emmanuel Trélat -

Source: https://hal.archives-ouvertes.fr/



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