Brizola Toscan R, Lesiński W, Stomma P, Subramanian B, Łabaj PP and Rudnicki WR (2025) Antimicrobial resistance in diverse urban microbiomes: uncovering patterns and predictive markers. Front. Genet. 16:1460508. doi: 10.3389/fgene.2025.1460508 Antimicrobial resistance (AMR) is a growing global health concern, driven by urbanization and anthropogenic activities. This study investigated AMR distribution and dynamics across microbiomes from six U.S. cities, focusing on resistomes, viromes, and mobile genetic elements (MGEs). Using metagenomic…
Tag: machine learning
New paper!
Moszczuk, B.; Krata, N.; Rudnicki, W.; Foroncewicz, B.; Cysewski, D.; Pączek, L.; Kaleta, B.; Mucha, K. Osteopontin—A Potential Biomarker for IgA Nephropathy: Machine Learning Application. Biomedicines 2022, 10, 734. https://doi.org/10.3390/biomedicines10040734 Abstract Many potential biomarkers in nephrology have been studied, but few are currently used in clinical practice. One is osteopontin (OPN). We compared urinary OPN concentrations in 80 participants: 67 patients with various biopsy-proven glomerulopathies (GNs)—immunoglobulin A nephropathy (IgAN, 29),…
Our new paper is out!
A. Polewko-Klim, W. Lesiński, A. Kitlas Golińska, K. Mnich, M. Siwek, W. R. Rudnicki. Sensitivity analysis based on the Random Forest machine learning algorithm identifies candidate genes for regulation of innate and adaptive immune response of chicken. Poultry Science 99 (2020), 12, 6341-6354. DOI: 10.1016/j.psj.2020.08.059 (140 pkt. MNiSzW) Spożywanie zdrowej żywności m.in. produktów drobiarskich ma wielkie znaczenie dla zdrowia ludzi. Zwalczanie chorób drobiu to jeden z największych problemów jego producentów….