In This Issue
Dog wash machine boosts pet shop’s business…and gives owner’s son valuable business insight
Kennelpak opens new Pets & Friends store in Walsall
Jollyes gets set to open new Swadlincote store
Paleo Ridge launches Black Friday deal for trade partners
Animology launches grooming gift sets and new sprays
CJ Wildlife scoops Best Product Award
Peckish recognised for its sustainable packaging
Dorwest Herbs picks up Direct Commerce honour
Squishmallows pet collection launches in Pets at Home
Henry Bell wins primary supplier contract
Edgard & Cooper launches limited edition Christmas packs
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Three awards in under 12 months for Brambles
Low-calorie food dogs love
NOAH launches ‘Paws to Protect’ campaign
RVC collaborates on new veterinary app for dogs
PDSA issues advice on diabetes in pets
Graduate Academy launch puts new generation of veterinary professionals on path to success
New training videos developed to help clinicians treat osteoarthritis
The best of last edition of Pet Trade Xtra
Retailer thrives as supplier of own-branded products
Vital introduces Everyday Low Price strategy
Private equity firm acquires UK petcare business
Pets at Home wins 'Best Place to Work' award
Fountasia launches Flamingo, a one-stop shop concept for pet retailers
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RVC collaborates on new veterinary app for dogs

The Royal Veterinary College’s data and analytics has supported Dechra Veterinary Products to create a research-informed app – the first of its kind – which helps vets better diagnose and treat disorders that affect the glands producing hormones (endocrine system) in companion animals.

 

Endocrine disorders arise when hormones are either overproduced or underproduced, causing receptors to malfunction and disruption to normal pathways for hormone activity and removal. In veterinary care, endocrine diseases are more commonly diagnosed and treated in companion animals such as dogs or cats than in large animal species. Typically, diagnosis of endocrine disease is based on a thorough history and physical examination, followed by laboratory tests. However, clinical signs vary substantially across animals with endocrine disorders and so this new app offers promise that new technology developments such as AI can help vets to improve their diagnostic processes.

 

The launch of this new app builds on the results from a VetCompass PhD study conducted by the RVC and funded by Dechra1. The app was developed by Dechra in collaboration with experts at RVC, including Professor David Church, Deputy Principal and acting Vice Principal of Clinical Affairs; Professor David Brodbelt, Professor of Evidence-based Veterinary Medicine; Dr Dan O’Neill, Associate Professor of Companion Animal Epidemiology; Imogen Schofield, PhD Student; Noel Kennedy, Head of Software Development; and Dr Jenny Wilshaw, Applied Data Scientist.

 

When dealing with dogs suspected of having Cushing’s Syndrome (an excess production of cortisol), the app provides vets with a prediction of how likely the dog is to actually have Cushing’s based on clinical signs, supporting more effective diagnosis. By also providing additional information on the treatment and monitoring of diseases such as Cushing’s and Addison’s (deficiency of essential hormones), the app helps vets in primary and referral care to better understand these endocrine disorders and improve the clinical care given to patients.

 

The app is available throughout EU countries and reflects the RVC and VetCompass’ dedication towards using Big Data to lead evidence-base generation and application globally. Free to download by searching for the Endocrinology App from Dechra on both Apple and Android devices, vets can access the app's features and resources at any time, making it a convenient and valuable tool.

 

Dr Dan O’Neill, Associate Professor for Companion Animal Epidemiology at the RVC, said: “The RVC VetCompass team was delighted to be involved in developing the science underpinning the new Endocrinology App from Dechra.

 

“Cushing’s Syndrome can be a very challenging disorder to diagnose; the new Endocrinology App from Dechra aims to assist veterinary surgeons to understand how likely a dog suspected of having Cushing’s is to have the condition and whether further investigations are warranted.

 

“The new Endocrinology App from Dechra is based around a machine learning form of AI utilising anonymised clinical records from millions of dogs within the RVC’s VetCompass database. By applying the latest AI technology developed by the RVC’s VetCompass team, Dechra’s new Endocrinology App is designed to assist primary care veterinary surgeons to better detect and diagnose Cushing’s Syndrome. The App provides a guide to the probability of Cushing’s syndrome as an explanation in patients showing both typical and atypical clinical signs for Cushing’s.

 

“Based on the power of Big Data using veterinary clinical records from millions of UK dogs in RVC VetCompass, Dechra’s new Endocrinology App aims to help primary care veterinary surgeons have greater confidence in diagnosing Cushing’s Syndrome.”

 

Craig Sankey, European Business Manager for Endocrinology at Dechra said: "We are excited to launch this app, which we believe will be a valuable tool for veterinarians in diagnosing and treating endocrine disorders. We know that endocrine disorders can be complex, and this app will be a valuable addition to the existing comprehensive support provided by Dechra helping veterinarians navigate this field with more confidence and ease."

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