Antibiotics Pharmacokinetics and Efficacy

Model Ensembling and Machine Learning Approaches to Predict the First Dose of Amoxicillin in Intensive Care

This paper develops and evaluates model ensembling and machine learning approaches to predict the first dose of amoxicillin in intensive care, finding that ensembling and ML outperform standard dosing.

Quinoline synergy and reduced use: a study of pharmacodynamic interactions

This study examines pharmacodynamic interactions between meropenem, gentamicin, and ciprofloxacin against E. coli, finding synergy in combinations but indifference when quinolones are omitted.

A freely accessible, adaptable hollow-fiber setup to reproduce first-order absorption: illustration with linezolid cerebrospinal fluid pharmacokinetic data

Splitting each dose into equal-amount continuous infusions of varying duration, computed by a new algorithm, lets a standard hollow-fiber model reproduce linezolid CSF pharmacokinetics within 20% of target parameters.

Antibiotic killing of drug-induced bacteriostatic cells

The paper tests if bactericidal antibiotics can kill bacteria previously treated with bacteriostatic drugs, finding that sequential treatment can be as effective as bactericidal drugs alone.

vCOMBAT: a Novel Tool to Create and Visualize a COmputational Model of Bacterial Antibiotic Target-binding

The paper introduces vCOMBAT, a web-based tool for creating and visualizing computational models of bacterial antibiotic target-binding using clinical drug concentration data.

Effects of a rifampicin pre-treatment on linezolid pharmacokinetics

This study shows that rifampicin reduces linezolid blood concentrations by inhibiting absorption and promoting elimination, not through microsomal enzymes.