Mechanism-based mathematical modelling predicts the effects of ciprofloxacin and meropenem on Pseudomonas aeruginosa with different resistance mechanisms in cases where PK/PD indices cannot
Mechanism-based modelling approach to simultaneously characterise the effects of single and multiple resistance mechanisms on bacterial killing and resistance emergence of Pseudomonas aeruginosa in response to meropenem
Ceftolozane/tazobactam and meropenem, in monotherapy and combination, against ST235 clone Pseudomonas aeruginosa isolates in the dynamic In vitro hollow-fibre infection model
Meropenem and ciprofloxacin combination regimens against isogenic Pseudomonas aeruginosa strains with different resistance mechanisms in a dynamic hollow fibre model
Effect of different resistance mechanisms on bacterial killing and resistance emergence of Pseudomonas aeruginosa in response to meropenem dosing regimens in a hollow fibre model
Inhaled aztreonam and tobramycin dosing regimens against hypermutable cystic fibrosis Pseudomonas aeruginosa isolates in a dynamic in vitro biofilm model
Time-course analysis of the metabolomic footprint of an MDR hypermutable Pseudomonas aeruginosa clinical isolate challenged with ceftolozane/tazobactam in a hollow-fibre infection model
Ceftolozane/tazobactam in combination with tobramycin against the planktonic and biofilm states of hypermutable Pseudomonas aeruginosa isolates from paediatric patients with cystic fibrosis
Evaluation of synergistic meropenem-ciprofloxacin combination dosage regimens for critically ill patients with altered pharmacokinetics via mechanism-based modelling and the dynamic hollow fibre infection model
Optimizing a meropenem plus tobramycin combination dosage regimen against hypermutable and non-hypermutable Pseudomonas aeruginosa via mechanism-based modelling and the hollow-fibre infection model
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