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New research project aims to use AI to identify sick livestock
The study will combine artificial intelligence with behavioural analytics to provide insight into animal health.

'Cutting-edge' technology to reduce environmental impact of farming

New research which will use artificial intelligence to help improve the welfare of livestock and provide cost savings for farmers across the UK has been launched.

The research will be led by AI firm Quant Foundry, the University of Bristol Vet School and Agri-EPI Centre. The project will use novel artificial intelligence methods and behavioural analytics to provide fast, reliable insights into animal health for UK farmers.

The collaborative team aims to produce a new cost-effective solution for farmers and veterinary professionals to identify illness in livestock. Helping to provide cost savings and reduce the environmental impact of farming.

Dr Chris Cormack, managing director at Quant Foundry, said: "In conjunction with our research partners, Bristol Veterinary School and Agri-EPI, the study of behavioural analytics in animals will open up a new era in artificial intelligence driven solutions for farmers.

“We have great hopes that not only can we help farmers provide improved care for their livestock but also help reduce their economic costs and their environmental impact."

Professor Andrew Dowsey, chair in Population Health Data Science at Bristol Veterinary School, added: "This collaboration is a fantastic opportunity to translate cutting-edge artificial intelligence approaches to build upon the UK’s high standards in cattle welfare and support farmers in our targets for net-zero emissions."

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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.