Random Forest models predict Campylobacter resistance from known genetic markers with 74% accuracy, and time-series and cost models project UK cases above 130 per 100,000 and costs above 1.9 billion GBP by 2050.
Global burden of bacterial antimicrobial resistance in 2019: A systematic analysis
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Predicting Antimicrobial Resistance (AMR) in Campylobacter, a Foodborne Pathogen, and Cost Burden Analysis Using Machine Learning
Random Forest models predict Campylobacter resistance from known genetic markers with 74% accuracy, and time-series and cost models project UK cases above 130 per 100,000 and costs above 1.9 billion GBP by 2050.