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Showing 1 to 2 of 2 for “"next generation risk assessment"”.

  1. Accurate Uncertainty Quantification and Explainable Artificial Intelligence in Machine Learning Models for Toxicological Risk Assessment

    … Relationship (QSAR) models – a key part of the Next Generation Risk Assessment strategy for animal-free safety. Machine learning methods are often employed to build QSAR models, but these “black box” functions still need to be validated robustly before being included in risk assessment

    cambridge Repository record for Accurate Uncertainty Quantification and Explainable Artificial Intelligence in Machine Learning Models for Toxicological Risk Assessment (opens in a new tab)

  2. Ecotoxicogenomic New Approach Methods for Screening Development in Danio rerio

    … when introduced into ecosystems. Environmental risk assessment (ERA) is therefore crucial both before market authorization and retrospectively, to identify and mitigate potential adverse effects on the environment. Though ERA follows individual regulations for different chemical classes, …

    bielefeld Repository record for Ecotoxicogenomic New Approach Methods for Screening Development in Danio rerio (opens in a new tab)