CISPA researcher Sarath Sivaprasad, together with Hui-Po Wang and Mario Fritz from CISPA and other colleagues from HIPS, has developed an AI system that can automatically detect abnormalities in zebrafish embryo development. The approach combines a large-scale, high-resolution image dataset with a transformer-based machine learning model to identify toxicity effects and fertility outcomes with high accuracy and efficiency.