Cloudpharm’s latest study (DOI: https://pubs.acs.org/doi/10.1021/acs.jcim.5c02286) presents a computational framework for predicting the environmental impact of pharmaceuticals on aquatic life. Using high-performing machine learning models, the study predicts both bioconcentration and ecotoxicity of compounds — including their metabolites — to support greener, safer drug design. The work introduces G.AI.A (https://gaiatox.eu/), an intuitive platform enabling rapid risk assessment, helping researchers and regulators advance sustainable chemical management and environmentally responsible pharmaceutical development.