Patient education initiatives might help improve antibiotic awareness and support antibiotic resistance strategies but are most effective when they promote engagement and active learning. A ...

Add Yahoo as a preferred source to see more of our stories on Google. Current methods of identifying resistance mutations in microbes can miss other ways resistance can develop. koto_feja/iStock via ...

In a recent study published in the journal Nature Biomedical Engineering, a group of researchers demonstrated the use of deep learning to resurrect antibiotic peptides from extinct organisms, ...

Recent studies highlight diverse approaches to antimicrobial stewardship, from AI-assisted prescribing and targeted hospital programs to novel lab discoveries and rapid diagnostic testing. While AI ...

A study of patients at various hospitals in Atlanta has revealed a subpopulation of drug-resistant bacteria that utilize “heteroresistance” to hide among otherwise treatable types of bugs, leading to ...

Deep learning approaches have demonstrated success in identifying potential antibiotics from chemical libraries, but the models used are not explainable and do not provide chemical insight. Now, Wong ...

Earlier this spring, Davis Weaver, a recent PhD graduate of the School of Medicine and recipient of the Graduate Excellence Award, and his team published an article in Proceedings of the National ...

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Antibiotic resistance continues to be a worldwide problem. Researchers are use AI computer modeling to help design new compounds. The Conversation — Antibiotic resistance is a growing public health ...