TIRESIA: An eXplainable Artificial Intelligence Platform for Predicting Developmental Toxicity
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DOI: 10.1021/acs.jcim.2c01126
Abstract: Herein, a robust and reproducible eXplainable Artificial Intelligence (XAI) approach is presented, which allows prediction of developmental toxicity, a challenging human-health endpoint in toxicology. The application of XAI as an alternative method is of the… read more here.
Keywords: developmental toxicity; toxicology; explainable artificial; intelligence ... See more keywords