By Tarun Sai Lomte, News Medical

In a recent study posted to Research Square*, researchers developed and tested a machine learning (ML)-based clinical decision support system (CDSS) to predict antibiotic resistance.

Antibiotic resistance is a significant threat to global public health, exacerbated by the misuse of antibiotics. Initially, treatment is empirically prescribed until antibiograms and bacterial cultures are available. This can be challenging for the practitioner who has to balance the antibiotic spectrum and the susceptibility probability of suspected microbes according to illness severity and the risk of treatment failure. CDSSs may guide practitioners in selecting relevant antimicrobials. However, only a few ML-based CDSSs (ML-CDSSs) have been developed to predict antibiotic resistance and inform drug choices.

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