Evolutionary optimisation of antibiotic dosing regimens for bacteria with different levels of resistance

作者：

Highlights：

• Antibiotic resistance is a threat, optimising treatments is part of the solution.

• Evolutionary algorithms are used to optimise regimens for several scenarios.

• Optimised regimens are on average 30% more effective than standard regimens.

• Optimised regimens reveal a common pattern that can be potentially used in practice.

摘要

•Antibiotic resistance is a threat, optimising treatments is part of the solution.•Evolutionary algorithms are used to optimise regimens for several scenarios.•Optimised regimens are on average 30% more effective than standard regimens.•Optimised regimens reveal a common pattern that can be potentially used in practice.

论文关键词：Antimicrobial resistance,Evolutionary algorithms,Differential evolution,Optimisation,Mathematical modelling,Pharmacokinetics/pharmacodynamics modelling,MIC,Antibiotic dosing regimens

论文评审过程：Received 9 December 2021, Revised 29 July 2022, Accepted 15 September 2022, Available online 24 September 2022, Version of Record 17 October 2022.

论文官网地址：https://doi.org/10.1016/j.artmed.2022.102405