Romain Pogorelcnik

A systematic analysis of machine learning pipelines for robust antimicrobial resistance prediction

Motivation Antimicrobial resistance (AMR) has been identified as a top global public health threat. Accurate AMR phenotype prediction from whole-genome sequencing data is an essential tool for accelerating clinical decision-making and mitigating resistance spread. Although many previous works have explored the use of t...