Bhavna Antony

Oct 26, 2023 | biorxiv.org | Hoai-An Nguyen |Anton Y. Peleg |Jiangning Song |Bhavna Antony

AbstractMatrix–assisted laser desorption/ionization–time of flight mass spectrometry (MALDI–TOF MS) is widely used in clinical microbiology laboratories for bacterial identification but its use for prediction of antimicrobial resistance (AMR) remains limited. Here, we used MALDI–TOF MS with artificial intelligence (AI) approaches to successfully predict AMR in Pseudomonas aeruginosa, a priority pathogen with complex AMR mechanisms.