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Updated: Jul 17, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

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MultiGML:用于预测药物不良事件的多模式图形机器学习

Sophia Krix1,2,3, Lauren Nicole DeLong1,4, Sumit Madan1,5

  • 1Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing (SCAI), Schloss Birlinghoven, 53757, Sankt Augustin, Germany.

Heliyon
|September 8, 2023
PubMed
概括

一种新的多模态图形机器学习 (MultiGML) 方法整合了各种数据来预测药物不良事件. 这种可解释的AI工具通过识别潜在药物风险背后的生物机制,帮助临床前药物开发.

关键词:
不良事件是不良事件.图表注意力网络 图表注意力网络图表 卷积网络 卷积网络图表神经网络的神经网络知识图表知识图表机器学习 机器学习

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