Minimizing treatment-induced emergence of antibiotic resistance in bacterial infections

  03 March 2022

Treatment of bacterial infections currently focuses on choosing an antibiotic that matches a pathogen’s susceptibility, with less attention paid to the risk that even susceptibility-matched treatments can fail as a result of resistance emerging in response to treatment. Combining whole-genome sequencing of 1113 pre- and posttreatment bacterial isolates with machine-learning analysis of 140,349 urinary tract infections and 7365 wound infections, we found that treatment-induced emergence of resistance could be predicted and minimized at the individual-patient level. 

Further reading: Science
Author(s): Mathew Stracy et al
Healthy Patients   Smart Innovations  
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