Automated Detection of Abnormalities in Zebrafish Development
Researchers have developed a new dataset and a transformer-based model for automated analysis of zebrafish development. This approach aims to reduce the manual labor and cost associated with current methods in drug discovery and toxicity testing. The system achieved high accuracy in classifying egg viability and detecting malformations caused by toxic exposure. AI
IMPACT Automates toxicity analysis in drug discovery, potentially speeding up research and reducing costs.