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Machine learning to fight antibiotic resistance in farmed chickens

A new research project to improve the health of farmed chickens in China and reduce the risk of disease and antibiotic resistance transferring to human populations has been launched today.

The FARMWATCH project will use machine learning to find new ways to identify and pinpoint disease in poultry farms, reducing the need for antibiotic treatment and lowering the risk of antibiotic resistance transferring to consumers.

The £1.5m project is a partnership between researchers from the University of Nottingham’s School of Veterinary Medicine and Science and the China National Center for Food Safety Risk Assessment. Funded by Innovate UK and the Chinese Ministry of Science and Technology (MoST), the researchers are also collaborating with commercial partners, Nimrod Veterinary Products in the UK and New Hope Liuhe in China.
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