From microbiology to antimicrobial stewardship
How microbiological diagnosis, result interpretation, resistance surveillance, antimicrobial use and evaluation of clinical and economic outcomes fit together.
Data quality
6SEMD 256: microbiology report
An overview of SEMD 256 for microbiology results, with the implementation guide and its technical files available for download.
EUCAST: from genotype to susceptibility phenotype
EUCAST has published an updated assessment of whole-genome sequencing for predicting bacterial antimicrobial susceptibility. We examine how far genotype can replace phenotype today and why linking both types of data is increasingly important.
NSI dictionaries for antibiogram exchange
A practical index of Russian Ministry of Health NSI dictionaries for coding microorganisms, antimicrobial agents, susceptibility results, and antimicrobial resistance markers.
Machine learning and AMR prediction
From random forests and convolutional neural networks to genomic language models: how machine learning is used to predict bacterial antimicrobial resistance, and why data remain the central challenge.
Local AMR Surveillance: Comparing Guidelines
A review from CMAC (2025) compares WHO GLASS, CLSI M39, ESCMID, AMRcloud guidance and Russian MR 3.1.0346-24–highlighting key contradictions that matter for local antibiograms, data quality, and stewardship decisions.