Current methods of identifying resistance mutations in microbes can miss other ways resistance can develop. koto_feja/iStock via Getty Images Plus Antibiotic resistance is a growing public health ...

Artificial intelligence (AI) could be used to identify drug resistant infections, significantly reducing the time taken for a correct diagnosis, Cambridge researchers have shown. The team showed that ...

Researchers have figured out a way to predict bacteria’s environmental pH preferences from a quick look at their genomes, using machine learning. Led by experts at the University of Colorado Boulder, ...

Raman spectroscopy, especially in its surface-enhanced variant, is an attractive approach for the rapid detection of different bacteria, thanks to the unique spectral fingerprint that different ...

Rapidly analyzing samples for the presence of bacteria and similar organic structures is generally quite a time-intensive process, with often the requirement of a cell culture being developed.

Professor Anna Panorska and her former master’s student David Kweku (Statistics and Data Science), along with an interdisciplinary and international team of researchers, recently authored an article ...

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 ...