Skip to ContentSkip to Navigation
Practical matters How to find us C.F. (Christian) Luz


Mapping twenty years of antimicrobial resistance research trends

Better Antimicrobial Resistance Data Analysis & Reporting in Less Time

Data science for infection management & antimicrobial stewardship

Mapping Twenty Years of Antimicrobial Resistance Research Trends

Predicting Infection-related Consultations on Intensive Care Units - Development of a Machine Learning Prediction Model

Machine learning in infection management using routine electronic health records: tools, techniques, and reporting of future technologies

The Impacts of Deep Surgical Site Infections on Readmissions, Length of Stay, and Costs: A Matched Case-Control Study Conducted in an Academic Hospital in the Netherlands

The phylogenetic landscape and nosocomial spread of the multidrug-resistant opportunist Stenotrophomonas maltophilia

AMR - An R Package for Working with Antimicrobial Resistance Data

Random glucose sampling as screening tool for diabetes among disadvantaged tuberculosis patients residing in urban slums in India

Read more