Towards systematic read-across using Generalised Read-Across (GenRA)

Read-across continues to be a popular data gap filling technique within category and analogue approaches. One of the main issues hindering read-across acceptance is notion addressing reducing uncertainties. Frameworks formats have been created help facilitate development, evaluation, residual However, remains an expert-driven approach with each assessment decided on its own merits no objective means evaluating performance or quantifying Here, underlying motivation creating algorithmic read-across, namely Generalised Read-Across (GenRA) approach, described. The overall objectives were quantify uncertainty. Progress made in impact similarity context commonly relied upon as part are discussed. framework underpinning software tools developed date how GenRA can used make interpret predictions screening level hazard decision illustrated. Future directions some overarching still needed this field extent which might those needs