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AI developed to detect leptospirosis
"My hope is that this technology will be able to recognize cases of leptospirosis in near real time" - Dr Krystle Reagan.

Scientists at UC Davis created the model for early detection.

Scientists and veterinary surgeons at the University of California, Davis (UC Davis) have created an artificial intelligence model for early detection of leptospirosis.

Caused by dogs drinking water contaminated with Leptospira bacteria, leptospirosis ultimately leads to kidney failure, liver disease and severe bleeding in the lungs. Early detection of the disease is vital to give dogs the greatest chance of survival and recovery. 

Explaining the need for a better detection method, lead author Dr Krystle Reagan said: “Traditional testing for Leptospira lacks sensitivity early in the disease process.

“Detection also can take more than two weeks because of the need to demonstrate a rise in the level of antibodies in a blood sample. 

“Our AI model eliminates those two roadblocks to a swift and accurate diagnosis.”

Researcher used historical data of patients at the UC Davis Veterinary Medical Teaching Hospital that had been tested for leptospirosis. Routinely collected blood samples from 413 dogs was used to train the AI prediction model. 

Of the 53 dogs brought in for suspected leptospirosis over the next year, the AI model correctly identified all nine dogs that were positive for leptospirosis. Of the 44 leptospirosis negative dogs, the AI model correctly identified 90 per cent. 

Dr Reagan commented: “My hope is this technology will be able to recognize cases of leptospirosis in near real time, giving clinicians and owners important information about the disease process and prognosis.

“As we move forward, we hope to apply AI methods to improve our ability to quickly diagnose other types of infections.”

As a zoonotic disease, leptospirosis can transfer from animals to humans, and is difficult to diagnose in humans. The researcher hope that the developed technology will be able to be used in human medicine.

The research for this project has been published in the Journal of Veterinary Diagnostic Investigation.

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Animal Medicines Amnesty returns this November

News Story 1
 Veterinary practices are being urged to help owners safely dispose of any unused and expired pet medicines - not just antibiotics - during November's Animal Medicines Amnesty.

Organised by the Responsible Use of Medicines Alliance Companion Animal and Equine (RUMA CA&E), the initative is supported by a range of cross-sector organisations.

Practices are encouraged to use the campaign to engage the whole practice team and raise awareness of the safe disposal of medicines with clients. Learn how your practice can get involved at rumacae.org.uk 

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News Shorts
APHA launches free virtual work experience programme

The Animal and Plant Health Agency (APHA), in collaboration with Springpod, has launched a free virtual work experience programme, giving young people across the UK the chance to explore careers dedicated to protecting animal and plant health.

The on-demand programme offers a unique insight into career opportunities within APHA, showcasing how students can contribute to tackling some of the UK's most critical biosecurity and environmental challenges.

Designed for students aged 13 and over, the course includes more than 10 hours of engaging content featuring real-life industry insights, scenario-based challenges, and practical guidance on applying for jobs. To register for the course, visit the APHA website.