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Updated: Jan 10, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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弥合计算-实验差距:利用大型语言模型优先考虑阿尔茨海默氏症治疗方法,基于学习模型的比较

Manqi Li1,2, Shuteng Niu3, Yifeng Xu3,4

  • 1Department of Biostatistics and Data Science, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA.

Research square
|November 24, 2025
PubMed
概括

这项研究引入了一种使用大语言模型 (LLM) 的新框架,以优先考虑对阿尔茨海默病 (AD) 的药物重新定位候选者. 基于LLM的方法提高了识别潜在AD治疗方法的效率和可扩展性.

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