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Learning algorithms estimate pose and detect motor anomalies in flies exposed to minimal doses of a toxicant.

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Title: Learning algorithms estimate pose and detect motor anomalies in flies exposed to minimal doses of a toxicant.
Authors: Manduca G; The BioRobotics Institute, Sant'Anna School of Advanced Studies, Viale Rinaldo Piaggio 34, 56025, Pontedera, Pisa, Italy.; Department of Excellence in Robotics and AI, Sant'Anna School of Advanced Studies, Piazza Martiri della Libertà 33, 56127, Pisa, Italy., Zeni V; Department of Agriculture, Food and Environment, University of Pisa, Via del Borghetto 80, 56124, Pisa, Italy., Moccia S; The BioRobotics Institute, Sant'Anna School of Advanced Studies, Viale Rinaldo Piaggio 34, 56025, Pontedera, Pisa, Italy.; Department of Excellence in Robotics and AI, Sant'Anna School of Advanced Studies, Piazza Martiri della Libertà 33, 56127, Pisa, Italy., Milano BA; Institute of Life Sciences, Sant'Anna School of Advanced Studies, Piazza Martiri della Libertà 33, 56127, Pisa, Italy.; Faculty of Medicine and Surgery, University of Pisa, Via Roma 55/Building 57, 56126, Pisa, Italy., Canale A; Department of Agriculture, Food and Environment, University of Pisa, Via del Borghetto 80, 56124, Pisa, Italy., Benelli G; Department of Agriculture, Food and Environment, University of Pisa, Via del Borghetto 80, 56124, Pisa, Italy., Stefanini C; The BioRobotics Institute, Sant'Anna School of Advanced Studies, Viale Rinaldo Piaggio 34, 56025, Pontedera, Pisa, Italy.; Department of Excellence in Robotics and AI, Sant'Anna School of Advanced Studies, Piazza Martiri della Libertà 33, 56127, Pisa, Italy., Romano D; The BioRobotics Institute, Sant'Anna School of Advanced Studies, Viale Rinaldo Piaggio 34, 56025, Pontedera, Pisa, Italy.; Department of Excellence in Robotics and AI, Sant'Anna School of Advanced Studies, Piazza Martiri della Libertà 33, 56127, Pisa, Italy.
Source: IScience [iScience] 2023 Oct 27; Vol. 26 (12), pp. 108349. Date of Electronic Publication: 2023 Oct 27 (Print Publication: 2023).
Publication Type: Journal Article
Journal Info: Publisher: Cell Press Country of Publication: United States NLM ID: 101724038 Publication Model: eCollection Cited Medium: Internet ISSN: 2589-0042 (Electronic) Linking ISSN: 25890042 NLM ISO Abbreviation: iScience Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2589-0042
DOI:10.1016/j.isci.2023.108349