File:Logistic regression mixed model results analysing the bees' learning curves to detect SARS-CoV-2.png

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From the study "Bees can be trained to identify SARS-CoV-2 infected samples"

Summary

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Description
English: "Protocol 2

Similar to protocol 1, we analysed the bees’ learning curve during conditioning using a GLMM. A significant interaction (log-odds=−0.26, SE=0.05, Z=−5.48, P<0.001) between treatment and conditioning round was observed, which suggests a significant increase in the bee's discrimination ability between the positive and negative samples with the conditioning rounds (Table 1). By the end of conditioning (round 9) 67 out of 85 (78.8%) bees expressed PER towards infected samples and 23 out of 85 (27.1%) towards healthy samples (Fig. 1C)."

See w:Working animal#Pathogens and diseases
Date
Source https://journals.biologists.com/bio/article/11/4/bio059111/275246/Bees-can-be-trained-to-identify-SARS-CoV-2
Author Authors of the study: Evangelos Kontos, Aria Samimi, Renate W. Hakze-van der Honing, Jan Priem, Aurore Avarguès-Weber, Alexander Haverkamp, Marcel Dicke, Jose L. Gonzales, Wim H. M. van der Poel

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current19:54, 9 September 2023Thumbnail for version as of 19:54, 9 September 20232,161 × 639 (63 KB)Prototyperspective (talk | contribs)Uploaded a work by Authors of the study: Evangelos Kontos, Aria Samimi, Renate W. Hakze-van der Honing, Jan Priem, Aurore Avarguès-Weber, Alexander Haverkamp, Marcel Dicke, Jose L. Gonzales, Wim H. M. van der Poel from https://journals.biologists.com/bio/article/11/4/bio059111/275246/Bees-can-be-trained-to-identify-SARS-CoV-2 with UploadWizard

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