Training artificial intelligence to recognise antibiotic-resistant bugs, Swiss scientists hope to cut down the time before a patient is treated, and with the correct drugs at the right dosage
a laser striking a matrix of small molecules, turning them into gas without fragmenting or decomposing them. “MALDI is appropriate to analyse biomolecules like peptides, lipids, saccharides, or other organic macromolecules.”
When doctors can identify significant antibiotic resistance at an early stage, they can arrange antibiotic treatment for the patient quicker – this would help very sick patients. The scientists used 300,000 mass spectra profiles with more than 750,000 antimicrobial resistance phenotypes from four medical institutions in northwestern Switzerland. They then linked hese to the results of corresponding clinical resistance tests, Futurity reports. The result, the research site notes, is a new, publicly available dataset covering about 800 different bacteria and over 40 different antibiotics.
According to the ETH Zurich [public research university] press release, “[w]hile previous studies in this field of research have focused on individual bacterial species or antibiotics, this new study draws on several bacterial types isolated in hospitals as well as a multitude of associated resistance characteristics.”
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