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