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AI offers a faster way to predict antibiotic resistance (Egli Lab)


AI-assisted analysis of mass spectrometry data promises to detect antibiotic resistance faster than conventional methods. (Image: Ajay Kumar Chaurasiya/Wikimedia Commons | CC BY-SA 4.0)

Computer algorithms can determine antimicrobial resistance of pathogens faster than previous methods. This is the result of a study by researchers at the University of Basel, the University Hospital Basel and ETH Zurich. This could help treat serious infections more efficiently in the future – a major step forward in the battle against antibiotic-resistant bacteria.

Uni News

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