Machine Learning and Canine Chronic Enteropathies: A New Approach to Investigate FMT Effects

Machine Learning and Canine Chronic Enteropathies: A New Approach to Investigate FMT Effects

Fecal microbiota transplantation (FMT) represents a very promising approach to decreasing disease activity in canine chronic enteropathies (CE). However, the relationship between remission mechanisms and microbiome changes has not been elucidated yet. The main objective of this study was to report t...

Full description

Bibliographic Details
Main Authors: Giada Innocente, Ilaria Patuzzi, Tommaso Furlanello, Barbara Di Camillo, Luca Bargelloni, Maria Cecilia Giron, Sonia Facchin, Edoardo Savarino, Mirko Azzolin, Barbara Simionati
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Veterinary Sciences
Subjects:
fecal microbiota transplantation
canine chronic enteropathy
chronic diarrhea
dysbiosis
microbiome
machine learning
Online Access:https://www.mdpi.com/2306-7381/9/9/502

Internet

https://www.mdpi.com/2306-7381/9/9/502

Similar Items