Fig. 7: Application of the Automatic Emesis Detection (AED) system in a drug screening paradigm.
From: A deep learning-based system for automatic detection of emesis with high accuracy in Suncus murinus
A Diagram showing the experimental design of an anti-emetic test. B, C Quantification of emetic behaviour in palonosetron (Palo)-treated and saline (Sal)-treated groups using manual annotation. B Episodes of retching (R) + vomiting (V), and (C) heatmap showing the latency and number of episodes of R + V per minute for each animal are shown. D, E Quantification of emetic behaviour in the palonosetron (Palo)-treated and saline (Sal)-treated groups using the AED system. D Episodes of R + V and (E) heatmap showing the latency and number of episodes of R + V per minute for each animal are shown. Data are presented as the mean ± standard deviation (n = 5 animals). **P < 0.05 (unpaired Student’s t-test).
