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Wednesday, 19 February 2020 21:37

Angela Hughes, DVM,PhD, senior manager of Global Scientific Advocacy Relations at Mars Petcare will join Jon and Talkin' Pets 2/22/20 at 635pm ET to inform us about the Wisdom Panel and how Mars is making a better world for our pets Featured

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Mars Petcare Presenting New Technologies at VMX Driving Preventive Care in Veterinary Practice

Unfortunately, our pets can’t tell us what’s ailing them. But fortunately, today, we have new technologies and AI that are giving us insight into their health and behaviors that we’ve not been able to access until now.

For background, this year at VMX, Mars Petcare presented a session on Monday, Jan. 20, about these new technologies and how they are reshaping the world of veterinary care and the relationships between veterinarians and pet owners on proactive health and wellness. Some examples are:

  • Pet Insight Project: Our pets’ behavior has hidden insights into their well-being. In the past two years, Mars Petcare quantified and analyzed over 10 million days of behavioral information from over 90,000 dogs using Whistle FIT monitors to help determine how they relate to our pets’ overall wellbeing. New discoveries from this round-the-clock monitoring project focus on the early identification of canine health issues including dermatologic (skin) disorders which can be identified by disruptive sleep patterns, scratching habits and barking.
  • WISDOM PANEL: This canine DNA test is providing new insights for veterinarians into the specific health needs of dogs through extensive ancestry and genetic health screenings for more than 150 conditions. During the session, Mars will share findings from the large-scale integration of Wisdom Panel™ Health genetic testing into the Banfield® Pet Hospital Puppy Optimum Wellness Plans® which has tested 200,000 puppies in just over a year, including 5% who have actionable health insights identified in their DNA.
  • RenalTech™: The first-ever predictive tool in veterinary medicine that uses artificial intelligence and machine learning to predict whether a cat will develop chronic kidney disease – which affects 30-40 percent of cats over the age of 10 – two years before typical clinical diagnosis offering new avenues for monitoring and treatment to improve the health and well-being of feline patients. 
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