Input-output approaches for personalized drug dosing of antibiotics

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The aim of this chapter is to report analytical and individual-based methods for antibiotic dose selection that are based on tools from system and control theory. A brief system analysis of standard population pharmacokinetic models proves that such models are nonnegative and stable. Then, an input-output analysis leads to an open-loop control law which yields a dosing for the average patient, based on the equilibrium trajectory of the system. This approach is then incorporated into a “worst-case” analysis based on the monotony of the state trajectories with respect to the clearance (model parameter). Finally, a heuristic method of an estimated state feedback is presented. These methods were successively illustrated by numerical simulations on a model describing the pharmacokinetics of meropenem, an intravenous antibiotic for treatment of severe sepsis.

langue originaleAnglais
titreFeedback Control for Personalized Medicine
Nombre de pages25
ISBN (Electronique)9780323901710
ISBN (imprimé)9780323906654
Les DOIs
Etat de la publicationPublié - 1 janv. 2022

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