From microbiology to antimicrobial stewardship
How microbiological diagnosis, result interpretation, resistance surveillance, antimicrobial use and evaluation of clinical and economic outcomes fit together.
How microbiological diagnosis, result interpretation, resistance surveillance, antimicrobial use and evaluation of clinical and economic outcomes fit together.
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.
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.
A review of the 2025 CMAC publication: the experience of the Yamalo-Nenets Autonomous Okrug in implementing a regional system for automated validation of microbiology reports, continuous AMR surveillance, and real-time analytics.
Review of a Poliklinika journal article (2024): how the Botkin Hospital centralized bacteriology lab built an IT-enabled production flow (LIS + services), why export-based surveillance does not scale, and how the next-generation system – ABioGram – adds automated report validation and real-time AMR surveillance.
Pilot results in the largest laboratory in Moscow (07 Nov–25 Nov 2025): API integration with the laboratory information system, automated interpretation of antimicrobial susceptibility results, 89,117 decision-support messages, and real-time AMR analytics.
Review of a CMAC (2025) publication: implementation of an integrated digital loop (LIS–ABioGram–HIS), automated antibiogram validation, continuous AMR surveillance, and the impact of expert comments on clinical decision-making.