Project Duration: 1-Jan-2023 to 1-Feb-2025
Short Description: A.I.-Tox for SSbD - Development of a machine learning/artificial intelligence base method to support the initial hazard evaluation of chemicals under data scarcity by the application of pairwise learning modelling to comprehensively bridge data gaps in the available set of ecotoxicity tests data, followed by hazard characterization via Species Sensitivity Distributions.
