SAVSNET-Agile
Funded by Dogs Trust, SAVSNET-Agile links the large and expanding data resource of the Small Animal Veterinary Surveillance Network (SAVSNET) to state-of-the-art informatics, statistics and genomic technologies.
Bringing together colleagues from the University of Liverpool, University of Manchester, Lancaster University, University of Bristol and the Equine Infectious Disease Surveillance Group, the SAVSNET-Agile team are developing a suite of near real-time actionable health resources.
These will be applied to key challenges in canine health and welfare, support canine health surveillance, and facilitate the establishment of a national response protocol for emerging canine diseases.
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With dog obesity a global canine health concern, we're identifying the sentinels in a dog’s clinical record that could indicate progression to obesity or diabetes.
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We're seeking to develop effective UK protocols for dealing with outbreaks of disease in dogs, using text mining techniques to enable the rapid detection of anomalies.
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Developing algorithms to enable the text mining of clinical notes from veterinary consultations.
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Developing real-time statistical anomaly detection for canine health data, we're supporting the early detection of future outbreaks of disease in the UK's dog population.
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Working with diagnostic laboratories and state-of-the-art sequencing technologies to understand how pathogens are behaving in dogs and other companion animals.
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Meet our team of investigators, PhD students, programme analysts and researchers tackling some of the key challenges in canine health and welfare.