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Research to study artificial intelligence use in cow diagnosis
The AI is able to track the motion of cows, as well as recognising each cow.

It will investigate if AI could detect disease earlier.

Researchers from the University of Bristol have received funding to study how artificial intelligence (AI) might be used to detect disease in dairy cows earlier.

The project is one of 14 to receive a share of £9m funding from the Biotechnology and Biological Sciences Research Council (BBSRC) and the Department of Environment, Food and Rural Affairs (Defra), in a move to combat endemic livestock disease.

The project, led by Professor Andrew Dowsey from Bristol Veterinary School, will see a collaboration of University of Bristol researchers in veterinary medicine, animal behaviour, computer vision and AI.

The group will use AI to monitor the social interactions of cattle to identify indications of developing mastitis or lameness, which are two of the most significant diseases affecting the UK dairy industry.

These diseases compromise the health and welfare of dairy cows, which can lead to financial losses for farmers and the industry. Cows that suffer from disease have also been found to contribute a higher proportion of methane emissions, affecting sustainability in the sector.

The current technology used for disease detection in dairy cows tends to focus on observable symptoms that are associated with later stages of the disease.

Professor Dowsey and the research team will be investigating whether AI can monitor social interactions to identify diseases at an earlier stage.

Previous studies have recognised a correlation between cattle in the early stages of disease and reduced levels of social interaction. However, farmers are frequently too busy to closely monitor social interactions between their cows.

The AI developed by the research team is able to track the motion of cows, as well as recognising each cow by its distinctive coat pattern.

Once the AI has been trained to spot behaviour changes that indicate early-stage mastitis and lameness, it will be deployed to recruited farms for testing.

Professor Dowsey said: “We are excited to have been given the opportunity to fuse Bristol Veterinary School’s world-class expertise in animal behaviour with our recent developments in artificial intelligence for livestock monitoring.

“Detecting subtle changes in social behaviour could hold the key to the early diagnosis of disease in dairy cattle."

Image (C) Shutterstock

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Prof Joanne Webster elected as Fellow of the Royal Society

News Story 1
 Joanne Webster, a professor of parasitic diseases at the RVC, has been elected as a Fellow of the Royal Society (FRS).

An infectious disease expert, Prof Webster is known for promoting a One Health approach to disease control.

She completed her doctoral research in zoonotic disease and parasite-host interactions, and has since earned widespread recognition for contributions to parasitology and global health.

Prof Webster said: "I am truly honoured, and somewhat stunned, to be recognised alongside such an exceptional group of scientists." 

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News Shorts
Germany FMD import restrictions eased

The UK government has lifted the import restrictions placed on FMD-susceptible commodities from Germany.

The decision comes after the country was recognised as foot-and-mouth disease free without vaccination on 14 May.

Imports of FMD-susceptible animals and their by-products from Germany were originally banned, after the country reported a case of FMD near Brandenburg in January. In March, the UK government permitted imports from outside of the outbreak zone.

Germany will now be able to import FMD-susceptible animals and their by-products into the UK, providing they meet other import conditions.

The decision follows rigorous technical assessment of measures in Germany. Defra says it will not hesitate respond to FMD outbreaks.