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Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
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Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
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CPRS:一个基于LLMs的临床协议推系统.

Jingkai Ruan1, Qianmin Su2, Zihang Chen1

  • 1School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, ShangHai, China.

International journal of medical informatics
|December 7, 2024
PubMed
概括

本研究介绍了使用大型语言模型 (LLM) 和知识图的临床试验协议推系统. 该系统增强了患者与协议匹配的效率和准确性,推动了临床试验的开发.

关键词:
临床试验临床试验是指临床试验的临床试验.知识图表知识图表在法律上,LLMs.推系统是推系统.

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科学领域:

  • 人工智能在医学中的应用
  • 临床试验管理 临床试验管理

背景情况:

  • 临床试验协议对于指导研究目标至关重要.
  • 大型语言模型 (LLM) 为研究建议提供先进的语义功能.

研究的目的:

  • 开发一种新的临床试验协议推系统.
  • 利用GPT-4和知识图来改善患者与协议的匹配.

主要方法:

  • 开发了一个结合GPT-4和知识图的系统.
  • 知识图标识了类似的临床试验项目.
  • GPT-4提供了基于语义分析的针对性患者建议.

主要成果:

  • 在根据相似性对协议进行排序方面,GPT-4的表现优于SBERT模型.
  • 该系统证明了对患者进行更高的匹配效率和准确性.
  • 该系统有助于对临床试验协议建议的自动化.

结论:

  • 整合知识图和LLM可以提高对临床试验数据的理解和处理.
  • 该系统提高了对患者协议建议的匹配效率和准确性.
  • 这种方法自动化了对医学研究和公共卫生至关重要的建议.