Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Leaky Scanning02:28

Leaky Scanning

5.1K
During most eukaryotic translation processes, the small 40S ribosome subunit scans an mRNA from its 5' end until it encounters the first start AUG codon. The large 60S ribosomal subunit then joins the smaller one to initiate protein synthesis. The location of the translation initiation is largely determined by the nucleotides near the start codon as there may be multiple translation initiation sites present on the mRNA.  Marilyn Kozak discovered that the sequence RCCAUGG (where R...
5.1K
Genomics02:02

Genomics

35.6K
Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
35.6K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Build fair machine learning models to predict adverse outcomes for heart failure patients with preserved ejection fraction and with reduced ejection fraction.

JAMIA open·2026
Same author

Efficacy and Modulating Factors of Repetitive Transcranial Magnetic Stimulation on Motor Function in Parkinson's Disease: A Meta-Analysis.

Physiotherapy research international : the journal for researchers and clinicians in physical therapy·2026
Same author

Multimodal neuroimaging elucidates the posterior-to-anterior gradient of nigrostriatal degeneration in Parkinson's disease.

NPJ Parkinson's disease·2026
Same author

Knowledge Graph Augmented Large Language Models for Disease Prediction.

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science·2026
Same author

Enhanced Atrial Fibrillation Prediction in ESUS Patients with Hypergraph-based Pre-training.

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science·2026
Same author

ClinNoteAgents: An LLM Multi-Agent System for Predicting and Interpreting Heart Failure 30-Day Readmission from Clinical Notes.

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science·2026

相关实验视频

Updated: May 25, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

475

快速链接:利用大型语言模型进行跨源生物医学概念链接.

Yuzhang Xie1, Jiaying Lu1, Joyce Ho1

  • 1Emory University, USA.

International ACM SIGIR Conference on Research and Development in Information Retrieval. Annual International ACMSIGIR Conference on Research & Development in Information Retrieval
|February 28, 2025
PubMed
概括

使用大语言模型 (LLM),PromptLink有效地将生物医学概念与各种数据源联系起来. 这种新的框架通过促使LLM利用他们的知识和对预测进行自我反思来提高准确性.

关键词:
生物医学概念连接链接几次射击促使促使一些人.对于资源有限的领域的大型语言模型.获取和重新排名 获取和重新排名

更多相关视频

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

1.5K
Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

8.6K

相关实验视频

Last Updated: May 25, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

475
A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

1.5K
Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

8.6K

科学领域:

  • 生物医学信息学 生物医学信息学
  • 自然语言处理自然语言处理.
  • 人工智能的人工智能

背景情况:

  • 将跨数据源的生物医学概念联系起来对于整合性分析至关重要,但因命名差异而受到阻碍.
  • 现有的方法 (基于规则的,词汇库,传统的ML) 具有有限的概括性和先前知识.
  • 大型语言模型 (LLM) 提供了丰富的先验知识,但面临着成本,上下文限制和可靠性等挑战.

研究的目的:

  • 引入PromptLink,这是一个生物医学概念链接的新框架,有效地利用LLMs.
  • 通过利用LLM功能来解决现有的概念链接方法的局限性.
  • 开发一种通用且可适应的概念框架,将各种数据类型联系起来.

主要方法:

  • PromptLink采用生物医学专业预训练模型来生成与LLM兼容的候选概念.
  • 一个两阶段的提示策略是用LLM:首先是引起知识,然后通过自我反思来提高预测可靠性.
  • 该框架的设计是通用的,不需要额外的先前知识,背景或培训数据.

主要成果:

  • 在电子健康记录 (EHR) 数据集和生物医学知识图 (KG) 之间的任务连接概念中,PromptLink 证明了有效性.
  • 这种两阶段提示方法显著提高了基于LLM的概念链接的可靠性.
  • 经验结果验证了框架能够在各种数据源之间进行概念链接的能力.

结论:

  • PromptLink为生物医学概念链接提供了一种强大而通用的解决方案,克服了以前方法的局限性.
  • 利用新的提示策略来利用LLM可以提高跨数据源概念对齐的准确性和可靠性.
  • 该框架的适应性使其适用于广泛的生物医学数据整合挑战.