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Researchers developed a cost-sensitive XGBoost model to predict ESBL-producing Enterobacteriaceae infections using electronic health record data, aiming to guide empiric antibiotic selection and reduce carbapenem overuse in a 12-hospital study.
A large-scale Shigella outbreak in research primates provided valuable immunological data, revealing new targets for vaccine development against this common bacterial pathogen.
Researchers developed new antibiotics from scorpion venom and habanero peppers, demonstrating efficacy against resistant bacteria including tuberculosis strains, with ongoing work towards clinical trials.
DeepMind's AI tools (including Gemini) reduce the time to analyze bacterial protein structures from years to 6 minutes, and generate unexpected drug design ideas, accelerating the discovery of new antimicrobial drugs, potentially getting ahead of antibiotic resistance.