A deep-learning approach to predict reproductive toxicity of chemicals using communicative message passing neural network

Reproductive toxicity is a concern critical to human health and chemical safety assessment. Recently, the U.S. Food and Drug Administration announced plans to assess toxicity with artificial intelligence-based computational models instead of animal studies in “a win-win for public health and ethics....

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Bibliographic Details
Main Authors: Owen He, Daoxing Chen, Yimei Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Toxicology
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Online Access:https://www.frontiersin.org/articles/10.3389/ftox.2025.1640612/full
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