Using whole-genome sequencing to predict antimicrobial resistance
Thousands of strain-specific whole-genome sequences are now available for a wide range of pathogenic bacteria. Using these data, approaches based on machine learning can now be used to predict the results of antimicrobial susceptibility tests from sequence alone. Recent studies have demonstrated the ability to predict minimum inhibitory concentrations with accuracies up to 95 %. Employing […]
