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Updated: Sep 15, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Published on: December 6, 2024

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顶级DTI:集成拓深度学习和大型语言模型来预测药物向相互作用

Muhammed Talo1,2,3, Serdar Bozdag1,2,3,4

  • 1Department of Computer Science and Engineering, University of North Texas, Denton 76207, TX, United States.

Bioinformatics (Oxford, England)
|July 15, 2025
PubMed
概括

顶级DTI集成了拓数据分析和大型语言模型,以准确预测药物向相互作用. 这种新的框架通过超越现有方法来增强药物发现,特别是在具有挑战性的场景中.

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