相关实验视频

Updated: Jan 15, 2026

A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research

A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research

Published on: August 16, 2017

对出版物和专利进行主题分析,以实现完全自动化的翻译科学效益模型影响提取

Tejaswini Manjunath¹, Eline Appelmans¹, Sinem Balta¹

¹Digital Infuzion LLC, Rockville, MD, United States.

Frontiers in research metrics and analytics

|October 9, 2025

概括

本研究引入了一种人工智能驱动的方法,通过从出版物和专利中提取好处,自动评估研究的影响. 这种方法提高了分析翻译科学成果的效率和可扩展性.

科学领域:

翻译科学翻译科学
医疗服务研究医疗服务研究
图书统计学图书统计学

背景情况:

临床和翻译科学奖 (CTSA) 计划已经产生了广泛的研究成果,但测量其影响是具有挑战性的.
传统的文献计量方法无法捕获各种好处,如专利或政策变化.
翻译科学效益模型 (TSBM) 提供了一个框架,但手动应用需要大量资源.

研究的目的:

开发和验证一个自动化管道,用于从研究成果中提取TSBM的好处.
为了实现CTSA计划的可扩展,高效和可重复的影响分析.
为了利用自然语言处理 (NLP) 和人工智能 (AI) 实现自动化利益发现.

主要方法:

应用隐性迪里克莱特分配 (LDA) 主题建模用于出版物,专利和赠款.
将已识别的主题映射到TSBM的好处,并通过主题专家 (SME) 的验证.
利用热图和t-SNE图像等影响可视化来显示收益分布.

主要成果:

分析了来自CTSA中心的1296个项目,127,958份出版物和352项专利 (2006-2023年).
临床和社区利益在出版物和项目中最常见.
经济和政策的好处不太常见,突出了包括专利数据的价值.

结论:

自动化NLP驱动的效益提取促进了数据驱动的TSBM在规模上的应用.
这种方法增强了跨大型研究组合的翻译科学影响的分析.

关键词:

人工智能 (AI) 是一种人工智能.临床和翻译科学奖 (CTSA)大型语言模型 (LLM)隐藏的迪里克莱特分配 (LDA)自然语言处理 (NLP) 是一种自然语言处理.翻译科学效益模型 (TSBM)影响分析影响分析话题分析话题分析

更多相关视频

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions

Published on: December 1, 2020

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

相关概念视频

Improving Translational Accuracy

Improving Translational Accuracy

Improving Translational Accuracy

Improving Translational Accuracy

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...

Leaky Scanning

Leaky Scanning

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...