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Updated: Mar 7, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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用大型语言模型将患者与细胞表面向的临床试验相匹配

S Carson Callahan1, Matthew R Chrostek1, Nicholas Rydzewski1,2

  • 1Department of Human Oncology, University of Wisconsin, Madison, WI.

JCO precision oncology
|March 5, 2026
PubMed
概括

一个新的大型语言模型 (LLM) 管道准确地识别了细胞表面向疗法 (CST) 临床试验. 这项技术通过自动化试验匹配来改善患者获得新型癌症治疗的机会.

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Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
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