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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.

Clinical Microbiology and Infection, 2026
Open resource

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.