College of Veterinary Medicine
McFarlane Lab
Led by Dianne McFarlane · Large Animal Clinical Sciences
What we study
The McFarlane Lab studies laminitis in horses using PET scans and investigates peptide signatures for early diagnosis of PPID with machine learning. They develop novel diagnostic tests for these conditions.
What working here is like
- Coding helps
- Projects
- 2
- Papers
- 5
Current projects
Characterization of Laminitis using PET
Uses PET scans, a type of medical imaging, to examine what is happening in the feet of horses with laminitis, a painful hoof disease.
Are peptide signatures created using machine learning the future for early diagnosis of PPID?
Tests whether protein fragment patterns found with machine learning can diagnose PPID, a hormonal disease of older horses, earlier than current tests.
Summaries are written by AI in plain language from public symposium abstracts and may be imperfect.
Recent papers, explained
- Clinical training in aquatic animal medicine—a unique strength of the University of Florida College of Veterinary Medicine
2026 · Journal of the American Veterinary Medical Association
- Fecal microbiota composition, serum metabolomics, and markers of inflammation in dogs fed a raw meat-based diet compared to those on a kibble diet
2024 · Frontiers in Veterinary Science
Compared dogs fed kibble or raw meat diets to study gut health and inflammation.
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- Development of a web-based tool to assess daily rating of perceived exertion in agility dogs
2024 · Frontiers in Veterinary Science
Created a web tool for agility handlers to track dogs' exercise intensity.
- Adverse health events and recommended health research priorities in agility dogs as reported by dog owners
2023 · Frontiers in Veterinary Science
Asks agility dog owners about health problems and research priorities.
- BEVA primary care clinical guidelines: Diagnosis and management of equine pituitary pars intermedia dysfunction
2023 · Equine Veterinary Journal
Developed guidelines for diagnosing and treating equine pituitary pars intermedia dysfunction.
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
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