Research perspectives on animal health in the era of artificial intelligence

Leveraging artificial intelligence (AI) approaches in animal health (AH) makes it possible to address highly complex issues such as those encountered in quantitative and predictive epidemiology, animal/human precision-based medicine, or to study host × pathogen interactions. AI may contribute (i) to...

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Bibliographic Details
Published in:	Veterinary research (Paris) Vol. 52; no. 1; p. 40
Main Authors:	Ezanno, Pauline, Picault, Sébastien, Beaunée, Gaël, Bailly, Xavier, Muñoz, Facundo, Duboz, Raphaël, Monod, Hervé, Guégan, Jean-François
Format:	Journal Article
Language:	English
Published:	London BioMed Central 06.03.2021 BioMed Central Ltd Springer Nature B.V BMC
Subjects:	Algorithms Animal biology Animal disease animal health Animals Artificial Intelligence Artificial Intelligence - statistics & numerical data Climate change Computer Science Data Decision making Decision support tool Deep learning Delivery of Health Care - methods Disease Epidemics Epidemiology humans Immunology Interfaces Life Sciences Livestock Medicine Medicine & Public Health Microbiology Modelling Pathogens Review risk Risk assessment veterinary medicine Veterinary Medicine - instrumentation Veterinary Medicine - methods Veterinary medicine and animal Health Veterinary Medicine/Veterinary Science Virology Animal disease Data Livestock Modelling Artificial intelligence Decision support tool
ISSN:	1297-9716, 0928-4249, 1297-9716
Online Access:	Get full text
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