Identify drug-drug interactions via deep learning: A real world study

Identify drug-drug interactions via deep learning: A real world study

Identifying drug-drug interactions (DDIs) is essential to prevent adverse effects from polypharmacy. Although deep learning has advanced DDI identification, the gap between powerful models and their lack of clinical application and evaluation has hindered clinical benefits. Here, we developed a Mult...

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Bibliographic Details
Main Authors: Jingyang Li, Yanpeng Zhao, Zhenting Wang, Chunyue Lei, Lianlian Wu, Yixin Zhang, Song He, Xiaochen Bo, Jian Xiao
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Journal of Pharmaceutical Analysis
Subjects:
Drug-drug interactions
Deep learning
Health care
Multi-dimensional feature fusion
Online Access:http://www.sciencedirect.com/science/article/pii/S2095177925000115
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http://www.sciencedirect.com/science/article/pii/S2095177925000115

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