Cargando…
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...
Autores principales: | Ezanno, Pauline, Picault, Sébastien, Beaunée, Gaël, Bailly, Xavier, Muñoz, Facundo, Duboz, Raphaël, Monod, Hervé, Guégan, Jean-François |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7936489/ https://www.ncbi.nlm.nih.gov/pubmed/33676570 http://dx.doi.org/10.1186/s13567-021-00902-4 |
Ejemplares similares
-
EMULSION: Transparent and flexible multiscale stochastic models in human, animal and plant epidemiology
por: Picault, Sébastien, et al.
Publicado: (2019) -
Modelling of paratuberculosis spread between dairy cattle farms at a regional scale
por: Beaunée, Gaël, et al.
Publicado: (2015) -
A novel epidemiological model to better understand and predict the observed seasonal spread of Pestivirus in Pyrenean chamois populations
por: Beaunée, Gaël, et al.
Publicado: (2015) -
Which phenotypic traits of resistance should be improved in cattle to control paratuberculosis dynamics in a dairy herd: a modelling approach
por: Ben Romdhane, Racem, et al.
Publicado: (2017) -
Learning and strategic imitation in modelling farmers’ dynamic decisions on bovine viral diarrhoea vaccination
por: Cristancho-Fajardo, Lina, et al.
Publicado: (2022)