Biased sampling driven by bacterial population structure confounds machine learning prediction of antimicrobial resistance

Published in PLOS Biology · View the paper (DOI)

A recent study reveals that sampling biases in bacterial population structure can severely undermine the accuracy of AI models predicting antimicrobial resistance. The researchers recommend evaluating future methods to address this issue.

Biased sampling driven by bacterial population structure confounds machine learning prediction of antimicrobial resistance

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