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.
The European Union summary report on antimicrobial resistance in zoonotic and indicator bacteria from humans, animals, and food in 2021/2022
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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.