Multi-objective evolutionary design of antibiotic treatments
作者：
Highlights：
• Formulate the design of antibiotic treatments as a multi-objective optimisation problem.
• Solve the optimisation problem using effective evolutionary algorithms.
• Use a mathematical model of bacterial growth considering both resistant and susceptible bacteria.
• Obtained shorter treatments and improved success than the standard fixed-dose treatments.
• The new treatments consistently involve a higher initial dose followed by lower tapered doses.
摘要
•Formulate the design of antibiotic treatments as a multi-objective optimisation problem.•Solve the optimisation problem using effective evolutionary algorithms.•Use a mathematical model of bacterial growth considering both resistant and susceptible bacteria.•Obtained shorter treatments and improved success than the standard fixed-dose treatments.•The new treatments consistently involve a higher initial dose followed by lower tapered doses.
论文关键词：Antibiotic resistance,Antimicrobial resistance,AMR,Evolutionary computation,Stochastic model
论文评审过程：Received 23 August 2019, Revised 24 October 2019, Accepted 5 November 2019, Available online 17 November 2019, Version of Record 24 November 2019.
论文官网地址：https://doi.org/10.1016/j.artmed.2019.101759
