Utilising large and diverse bacterial genome datasets to improve the detection and identification of Streptococcus pneumoniae via PCR-based diagnostics
Ahlers FM. et al, (2025), Microbial Genomics
Timeliness of a potential automated system for national surveillance of healthcare-associated infections in England
QUAN T. et al, (2025), Journal of Hospital Infection
Identification of undetected SARS-CoV-2 infections by clustering of Nucleocapsid antibody trajectories
Zwerwer LR. et al, (2025), Nature Communications
The impact of antimicrobial stewardship ward rounds on antimicrobial use and predictors of advice, uptake, and outcomes
EYRE D. et al, (2025), Journal of Infection
Machine learning and clinician predictions of antibiotic resistance in Enterobacterales bloodstream infections.
Yuan K. et al, (2024), J Infect
Addition of macrolide antibiotics for hospital treatment of community-acquired pneumonia
Wei J. et al, (2024), Journal of Infectious Diseases
Developing a Framework for Tracking Antimicrobial Resistance Gene Movement in a Persistent Environmental Reservoir
Mathers A. et al, (2024), npj Antimicrobials and Resistance
Predicting individual patient and hospital-level discharge using machine learning
Wei J. et al, (2024), Communications Medicine
Comparison of direct cDNA and PCR-cDNA Nanopore sequencing of RNA from Escherichia coli isolates.
Rodger G. et al, (2024), Microb Genom, 10
Global burden of bacterial antimicrobial resistance 1990-2021: a systematic analysis with forecasts to 2050.
GBD 2021 Antimicrobial Resistance Collaborators None., (2024), Lancet, 404, 1199 - 1226
Predicting future hospital antimicrobial resistance prevalence using machine learning
VIHTA K-D. et al, (2024), Communications Medicine
Expanding the use of mathematical modeling in healthcare epidemiology and infection prevention and control.
Grant R. et al, (2024), Infect Control Hosp Epidemiol, 1 - 6