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Scientists using ‘deep learning’ to predict bTB status in cows
The project aims to produce data that can be used for diagnostic and management purposes.
Method set to become ‘key weapon’ in fight against the disease

Researchers at Scotland’s Rural College (SRUC) are using ‘deep learning’ to predict the Bovine Tuberculosis (bTB) status of dairy cows.

Deep learning is a form of machine learning that uses artificial neural networks to learn from large data sets. Researchers hope that by using the method to analyse milk samples, they will strike a significant blow to the disease - thought to cost the UK dairy industry some £175 million every year.

Project leader Professor Mike Coffey said: “This is potentially a great step forward in the fight against TB. Being able to use routinely collected milk samples to alert a cow that may have been exposed to infection will allow the farmer to take remedial action long before the normal testing regime comes in.

“The early removal of infected cows should lower the background level of TB and contribute to enabling more effective outcomes from the existing tools deployed to eradicate the disease.”

The project has received £337,000 from the Biotechnology and Biological Sciences Research Council (BBSRC) to produce data that can be used for management and diagnostic purposes. It also aims to produce data for potential inclusion in national genetic evaluations for bTB host resistance.

The funding follows Defra’s review of its 25-year bTB eradication strategy, which now specifically includes “improved genetic resistance and improved diagnostic tests”.

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Defra shares new Sanitary and Phytosanitary guidance

News Story 1
 Defra has published guidance for the vet sector ahead of a proposed UK-EU Sanitary and Phytosanitary agreement.

The agreement, which will change the movement and trade of animals and related products, could see reductions in checks, paperwork and certification. As well as describing regulatory developments, the advice highlights the importance of animal ID, registration and traceability in disease control and other compliance arrangements.

The guidance can be found here. More detail is expected as negotiations progress. 

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News Shorts
Lords Committee opens Pet Parasite Medication inquiry

The House of Lords Environment and Climate Change Committee will launch its inquiry into Pet Parasite Medication (PPM) on Wednesday (3 June).

Focusing on treatments containing fipronil and imidacloprid, the inquiry will seek to understand distribution pathways and the impacts of PPM use and non-use on biodiversity and human health. It will also cover current regulation, monitoring, and the potential implications for pets and their owners.

The committee will hear evidence from environmental non-governmental organisations and research institutes. The public can follow the proceedings live on Parliament TV or in person in the Palace of Westminster.