Marie Attwood

The paper develops a low-cost, robust, and reproducible method for static and pharmacodynamic biofilm assays using glass beads and standard lab equipment, showing comparable results to traditional methods.

This study evaluates factors affecting Time Kill Curve (TKC) consistency across laboratories, finding that vessel size, agitation, and inoculum preparation significantly impact results.

This study evaluates the consistency of time kill curve (TKC) methodologies across six laboratories testing meropenem against E. coli, finding significant inter-centre variability.

This study screens phage-antibiotic combinations in clinical isolates to identify synergistic interactions for treating resistant infections.

This study uses in vitro models to evaluate the antibacterial effects and pharmacodynamics of a bacteriophage cocktail against E. coli strains, showing strain-specific responses and phage titre changes.

The paper develops ML models to predict antimicrobial activity of small molecules using a knowledge graph, achieving 75.9% accuracy in identifying active compounds.

This paper describes a journey towards implementing FAIR data practices in antimicrobial resistance research, transitioning from spreadsheet-based data to a knowledge graph framework.

This study evaluates how phages interact with antibacterials using standardized assays and finds that phages can increase or decrease antibiotic MICs depending on the strain and combination.