Research source
AI classified plasmid sequences to assess antimicrobial resistance risks worldwide.
Based on Spatiotemporal genomic analysis and risk assessment of the plasmids carrying blaOXA-48-like genes based on a large-scale international dataset.
Published by BMC microbiologyJun 27, 2026
Peer-reviewed paperMedium evidenceComputational study
What researchers observed
Study applied machine learning to large plasmid dataset to map spread and risk of blaOXA-48-like genes worldwide.
What this could mean
This could help researchers track and prioritize genetic elements that spread antibiotic resistance for better surveillance and study design.
What researchers still need to learn
Researchers still need to learn whether these risk classifications predict spread effectively in real-world settings.