Next-generation mechanism-based mathematical model describing the response of twelve Pseudomonas aeruginosa strains with diverse resistance mechanisms to aztreonam, ciprofloxacin, and their synergistic combination therapy.

Background. Developing next-generation mechanism-based mathematical models (ngMBMs) that incorporate characteristics of bacterial strains as predictors of bacterial response to antibiotic treatment is essential to support model-informed precision dosing of antibiotics. This study aimed to develop a ngMBM that describes the time-courses of bacterial responses of 12 Pseudomonas aeruginosa (PA) strains with various resistance mechanisms treated […]