Machine Learning‐Enabled Drug‐Induced Toxicity Prediction

Machine Learning‐Enabled Drug‐Induced Toxicity Prediction

Abstract Unexpected toxicity has become a significant obstacle to drug candidate development, accounting for 30% of drug discovery failures. Traditional toxicity assessment through animal testing is costly and time‐consuming. Big data and artificial intelligence (AI), especially machine learning (ML...

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Bibliographic Details
Main Authors: Changsen Bai, Lianlian Wu, Ruijiang Li, Yang Cao, Song He, Xiaochen Bo
Format: Article
Language:English
Published: Wiley 2025-04-01
Series:Advanced Science
Subjects:
database
deep learning
drug toxicity prediction
machine learning
Online Access:https://doi.org/10.1002/advs.202413405
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https://doi.org/10.1002/advs.202413405

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