Fast and accurate identification of pathogenic bacteria using excitation-emission spectroscopy and machine learning.

ABSTRACT: Fast and reliable identification of pathogenic bacteria is of upmost importance to human health and safety. Methods that are currently used in clinical practice are often time consuming, require expensive equipment, trained personnel, and therefore have limited applications in low resource environments. Molecular identification methods address some of these shortcomings. At the same time, they often use antibodies, their fragments, or other biomolecules as recognition units, which makes such tests specific to a particular target. In contrast, array-based methods use a combination of reporters that are not specific to a single pathogen. These methods provide a more data-rich and universal response that can be used for identification of a variety of bacteria of interest. In this report, we d

SUBMITTER: Henry J 

PROVIDER: S-EPMC11308375 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature