Researchers now use artificial intelligence to identify new antibiotics targeting drug-resistant infections. This approach bypasses slow, traditional trial-and-error methods by predicting molecular effectiveness. PBS News reports that these tools significantly speed up the discovery pipeline. Practitioners can now isolate viable drug candidates faster to combat evolving bacterial threats.