A novel multi-task Extreme Gradient Boosting (XGBoost) model using electronic health record (EHR) data showed good-to-excellent accuracy in predicting antimicrobial resistance profiles of Escherichia ...

Bacteria can sneakily evade our best efforts at eradication by developing resistance to various pressures in their environment, for example, antibiotic-resistant bacteria stubbornly survive the usual ...

A multinational research team led by Professor Tong Zhang from the Department of Civil Engineering, Faculty of Engineering at the University of Hong Kong (HKU Engineering), in collaboration with an ...

Cleveland Clinic researchers are working to improve the way we use evolutionary modeling to understand drug resistance. The study, published in Science Advances, uses a new type of evolutionary model ...

A Monash University-led study has found that an unusual pairing of two commonly used antibiotics can kill and stop the spread ...

Basecamp Research announced on 30 June that its EDEN antibiotic design and vaccine target prediction models are now available ...

Basecamp Research today announced that its antibiotic design and vaccine target prediction EDEN models are now available through Claude, including Claude Science, Anthropic's AI workbench for life ...

Drug-resistant infections - especially from deadly bacteria like tuberculosis and staph - are a growing global health crisis. These infections are harder to treat, often require more expensive or ...

A University of Alberta research team has designed a promising alternative for treating antimicrobial-resistant infections, a ...

Antimicrobial resistance (AMR) threatens human, animal, and environmental health globally. An international team from leading institutions, including the University of Edinburgh, London School of ...