Anton Y. Peleg

Mar 4, 2024 | medrxiv.org | Yashpal Ramakrishnaiah |Nenad Macesic |Geoffrey I. Webb |Anton Y. Peleg

The authors have declared no competing interest. AP, NM, GW, and ST acknowledge funding support of Medical Research Future Fund (MRFF) for the SuperbugAI flagship project. YR received Monash Graduate Scholarship for his PhD. I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained.

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.

Jun 8, 2023 | microbiologyresearch.org | Jhih-Hang Jiang |Anton Y. Peleg |Micaela Mossop

Introduction. One third of people with CF in the UK are co-infected by both Staphylococcus aureus and Pseudomonas aeruginosa. Chronic bacterial infection in CF contributes to the gradual destruction of lung tissue, and eventually respiratory failure in this group. Gap Statement. The contribution of S. aureus to cystic fibrosis (CF) lung decline in the presence or absence of P. aeruginosa is unclear. Defining the molecular and phenotypic characteristics of a range of S.