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A novel machine learning-based web application for field identification of infectious and inflammatory disorders of the central nervous system in cattle.

Sara FerriniCesare RolloClaudio BellinoGiuliano BorrielloCagnotti GCristiano CoronaGiorgia Di MuroMario GiacobiniBarbara IuliniAntonio D'Angelo
Published in: Journal of veterinary internal medicine (2023)
Our findings support the use of ML algorithms as promising tools for veterinarians to improve diagnosis. The open-access web application may aid clinicians in achieving correct diagnosis of infectious and inflammatory neurological disorders in livestock, with the added benefit of promoting appropriate use of antimicrobials.
Keyphrases
  • machine learning
  • oxidative stress
  • deep learning
  • minimally invasive
  • artificial intelligence
  • big data
  • blood brain barrier