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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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Vets launch new podcast for pet owners

News Story 1
 Two independent vets have launched a podcast to help owners strengthen their bond with pets. Dr Maggie Roberts and Dr Vanessa Howie, who have worked in both veterinary practice and major charities, are keen to use their experience to enable people to give pets a better life.

The venture, called Vets Talking Pets, provides advice and information on a range of topics, including how to select a suitable pet, where to obtain them and how to get the best out of your vet. Maggie and Vanessa will also discuss sensitive subjects, including end-of-life care, raw food diets and the cost of veterinary care.

The podcast can be found on all the usual podcast sites, including Podbean, Apple, Amazon Music and YouTube. 

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VMD issues guidance on AVM-GSL packaging

The Veterinary Medicines Directorate (VMD) has shared advice on its requirements for medicines considered AVM-GSL.

The guidance explains the information that should be on the outer package, and sets out the typical maximum pack size for an AVM-GSL product. It also describes the user-friendly language, structure and phrases required on packaging and product leaflets.

AVM-GSL products do not require discussion between the purchaser and a veterinary professional. This means that clear product information is needed to support sales choices.

The information will be useful for submitting new products to the AVM-GSL category and lowering the distribution category of products from NFA-VPS to AVM-GSL.

The VMD's guidance can be accessed here.