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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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BSAVA partners with BVA Live 2026

News Story 1
 BSAVA is to partner with BVA Live (11-12 June 2026) to champion clinical research.

The organisation will be supporting BVA Live's Clinical Abstracts programme, showcasing selected abstracts of veterinary research throughout the event.

The clinical abstracts can be on any small animal veterinary subject, and must be based on research undertaken in industry, practice or academia. Abstracts can be presented in poster or oral formats.

Submissions will open on 15th December 2025, and close on 6th March 2026. You can register interest here

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Nominations open for RCVS and VN Council elections

The nomination period for the 2026 RCVS Council and VN Council elections is now open, with three veterinary surgeon seats and two veterinary nurse seats available.

Prospective candidates can download an information pack and nomination form from the RCVS website. Individuals can nominate themselves for the elections, with the results to be announced in the spring.

Clare Paget, the recently appointed RCVS Registrar and elections returning officer, said: "If you want to play your part in influencing and moulding how the professions are regulated, and making key decisions on matters of great importance to your peers, the public and animal health and welfare, please consider standing for RCVS Council or VN Council next year."

Nominations close at 5pm on Saturday, 31 January 2026.