ToxBERT: an explainable AI framework for enhancing prediction of adverse drug reactions and structural insights

Accurate prediction of drug-induced adverse drug reactions (ADRs) is crucial for drug safety evaluation, as it directly impacts public health and safety. While various models have shown promising results in predicting ADRs, their accuracy still needs improvement. Additionally, many existing models o...

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Bibliographic Details
Main Authors: Yujie He, Xiang Lv, Wulin Long, Shengqiu Zhai, Menglong Li, Zhining Wen
Format: Article
Language:English
Published: Elsevier 2025-08-01
Series:Journal of Pharmaceutical Analysis
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2095177925002047
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