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ZOETIS DIAGNOSTICS

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Bringing the power of AI to diagnostics

An integral component of the Virtual Laboratory, the Vetscan Imagyst® leverages deep-learning AI across multiple powerful indications to offer a wide range of critical diagnostic insights with maximal clarity.

Cutting-edge AI for comprehensive care

  • Accurate, expert-level results with AI-informed analysis1-4
  • Point-of-care insights in minutes for enhanced patient outcomes
  • Best-in-class technology and consistency across a multi-use platform
  • Integrated results on a single platform to save staff time
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Bringing specialist-level medicine to your clinic

The Zoetis Virtual Laboratory is a three-in-one platform that provides you with fast, anytime access to expert support, connects you to insights from a range of interconnected diagnostic services and powers expert-level results1-4 with AI-driven technology on the Vetscan Imagyst.

  • Anytime* expert support
  • Best-in-class AI
  • Connected diagnostic insights

Discover the difference Zoetis Diagnostics can make in your clinic

Contact us today to learn more about how our diagnostics portfolio can help elevate your patient care.

Customer Service, Support & Ordering

Mon – Thurs: 9.00 am – 5.00 pm GMT

Friday 9.00 pm – 4.00 pm

Vetscan and i-STAT Technical Support

Sunday 11.00 pm – Friday 11.00 pm

0345 300 8034 option 1

Zoetis Reference Laboratories Customer Service, Support & Ordering

Mon – Thurs: 8:00 am – 9:30 pm GMT

Saturday: 9:00am – 8:30pm GMT

Sunday: Closed

1-888-965-9652

Need Technical Support?

Our support team is available to answer product questions and provide guidance.

* Dependent on consultant availability.

If you are a pet owner looking for treatment recommendations, please contact your veterinary surgeon.

References:1. Data on file, Study No. D870R-US-21-045, 2021, Zoetis Inc. 2. Nagamori Y, Sedlak RH, DeRosa A, et al. Evaluation of the VETSCAN IMAGYST: an in-clinic canine and feline faecal parasite detection system integrated with a deep learning algorithm. Parasites Vectors. 2020;13(1):346. doi:10.1186/s13071-020-04215-x. 3. Data on file, Study No. DHX6Z-US-23-222, Zoetis Inc. 4. Data on file. Study No. DHXMZ-US-23-218, Zoetis Inc.

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