Article
Uncertainty-aware machine learning to predict non-cancer human toxicity for the global chemicals market
2025-03-07
Abstract excerpt
<title>Abstract</title> <p>Humans are exposed to many chemicals, yet limited toxicity data hinder effectively managing their impact on human health. High-performing machine learning models hold potential for addressing this gap, but their uncharacterized prediction performance across the wider chemical space undermines confidence in their results. We developed uncertainty-aware models to predict reproductive/deve...
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Identifiers and source
- Literature Corpus work
- b15bbc15-80a5-5b8f-834f-8c5ff32fbf22
- DOI
- 10.21203/rs.3.rs-6103978/v1
