In the study, the deep-learning models were able to identify antibiotic resistant E. coli bacteria at least 10 times faster than current gold-standard clinical methods.
Credit: Peterschreiber.media, Getty Images
Biological physics
Condensed Matter Physics
Researchers at the 91̽»¨, including Professor Achillefs Kapanidis from the Department of Physics, have reported advances towards a novel and rapid antimicrobial susceptibility test that can return results within as little as 30 minutes – significantly faster than current gold-standard approaches.
The team used a combination of fluorescence microscopy and artificial intelligence (AI) to detect antimicrobial resistance (AMR) and the study has been published in . Their work is 91̽»¨ed by the .