Cell Painting for cytotoxicity and mode-of-action analysis in primary human hepatocytes (opens in new tab)

Ewald et al. use machine learning to predict chemical cytotoxicity and mode of action from images of cells exposed to 1,085 compounds. With sufficient training data, imaging reveals subtle cellular events, highlighting its potential to improve chemical safety assessment by detecting cellular changes linked to adverse health outcomes.