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Editorial

Overcoming barriers to machine learning applications in toxicity prediction

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Pages 549-553 | Received 17 Oct 2023, Accepted 11 Dec 2023, Published online: 14 Dec 2023

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (2)

Ahmad Z. Al Meslamani, Isidro Sobrino & José de la Fuente. (2024) Machine learning in infectious diseases: potential applications and limitations. Annals of Medicine 56:1.
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Nguyen Quoc Khanh Le, Thi-Xuan Tran, Phung-Anh Nguyen, Trang-Thi Ho & Van-Nui Nguyen. (2024) Recent progress in machine learning approaches for predicting carcinogenicity in drug development. Expert Opinion on Drug Metabolism & Toxicology 20:7, pages 621-628.
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Articles from other publishers (1)

Yingying Zhu, Yanhong Zhang, Xinze Li & Ling Wang. (2024) 3MTox: A motif-level graph-based multi-view chemical language model for toxicity identification with deep interpretation. Journal of Hazardous Materials 476, pages 135114.
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