Learning algorithms estimate pose and detect motor anomalies in flies exposed to minimal doses of a toxicant.
Biological sciences
Toxicology
Journal
iScience
ISSN: 2589-0042
Titre abrégé: iScience
Pays: United States
ID NLM: 101724038
Informations de publication
Date de publication:
15 Dec 2023
15 Dec 2023
Historique:
received:
10
05
2023
revised:
04
10
2023
accepted:
24
10
2023
medline:
7
12
2023
pubmed:
7
12
2023
entrez:
7
12
2023
Statut:
epublish
Résumé
Pesticide exposure, even at low doses, can have detrimental effects on ecosystems. This study aimed at validating the use of machine learning for recognizing motor anomalies, produced by minimal insecticide exposure on a model insect species. The Mediterranean fruit fly,
Identifiants
pubmed: 38058310
doi: 10.1016/j.isci.2023.108349
pii: S2589-0042(23)02426-4
pmc: PMC10696104
doi:
Types de publication
Journal Article
Langues
eng
Pagination
108349Informations de copyright
© 2023 The Authors.
Déclaration de conflit d'intérêts
The authors declare no competing interests.
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