BGN Technologies Introduces New Method for Identifying Bacteria and Their Susceptibility to Antibiotics


BEER-SHEVA, Israel, Aug. 3, 2021 /PRNewswire/ — Researchers at Ben-Gurion University of the Negev (BGU), Shamoon College of Engineering and Afeka Tel Aviv Academic College of Engineering have developed an innovative method for the rapid determination of the identity and antibiotic sensitivity of bacterial pathogens in urinary tract infections (UTI) in patients.

The novel method enables detection of bacterial pathogens directly from urine samples in 30-40 minutes. The technology combines measurements of the infrared spectrum of the infecting bacteria with machine learning algorithms, to enable the simultaneous determination of both bacterial type at the species level and bacterial sensitivity to antibiotics.

The method has been tested on over 1,000 urine samples and was able to discriminate between bacterial species with approximately 97% accuracy and determine bacterial susceptibility to various antibiotics with approximately 85% accuracy.


Read more…