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

ER Retrieval Pathway01:45

ER Retrieval Pathway

3.9K
In the secretory pathway, vesicles transport proteins from one cellular compartment to another in forward transport to deliver the protein to its correct location. Occasionally, misfolded proteins and incorrect proteins escape their original compartments, and a retrieval pathway is used to return the escaped proteins to their original compartment.
The ER uses many checkpoints to prevent the entry of incorrectly folded or a resident protein as cargo onto a transport vesicle. These mechanisms...
3.9K

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

Multi-modal AI for comprehensive breast cancer prognostication.

Nature communications·2026
Same author

A data-centric perspective on designing AI foundation models for healthcare.

Frontiers in digital health·2026
Same author

Initiation and Completion of Hormone Therapy in Older Women With Early-Stage Breast Cancer.

International journal of radiation oncology, biology, physics·2026
Same author

Multimodal Deep Learning for Stroke Prediction and Detection using Retinal Imaging and Clinical Data.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

Meta-Repository of Screening Mammography Classifiers.

Studies in health technology and informatics·2025
Same author

Addressing the Challenge of Successful One-Stage Lumpectomy for DCIS.

The American surgeon·2025
Same journal

HIV Transmission Dynamics in Greater Mexico City are Shaped by Dense Spatial Mixing.

Research square·2026
Same journal

A UCP1-IRES-Cre Knock-In Mouse Enables Specific Brown Adipocyte Targeting Without CNS Off-Target Expression.

Research square·2026
Same journal

Precision RNAi for Fibrodysplasia Ossificans Progressiva: a combinatorial, unimolecular, allele selective approach.

Research square·2026
Same journal

Perceptions of end-of-life care quality among bereaved closest contacts of community-dwelling older Australians: a cross-sectional survey of the ASPREE cohort.

Research square·2026
Same journal

Heavy-chain immune repertoire sequencing enables language-model prediction of antigen-specific antibodies.

Research square·2026
Same journal

25+ Years of TRPV4: From Discovery to Translational Horizons.

Research square·2026
查看所有相关文章

相关实验视频

Updated: Jul 23, 2025

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

1.7K

使用命名实体识别改进从病理学报告中提取信息.

Ken G Zeng1, Tarun Dutt2, Jan Witowski2

  • 1New York University, New York, NY, USA.

Research square
|July 18, 2023
PubMed
概括
此摘要是机器生成的。

本研究引入了基于BERT的命名实体识别 (NER) 系统,用于从病理学报告中提取详细的诊断信息. 使用数据增强的增强模型在各种医疗数据集中实现了高准确性和概括性.

更多相关视频

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

16.0K
Detection and Isolation of Cancer in Prostate Biopsies Using Stimulated Raman Histology and Artificial Intelligence
08:08

Detection and Isolation of Cancer in Prostate Biopsies Using Stimulated Raman Histology and Artificial Intelligence

Published on: June 10, 2025

101

相关实验视频

Last Updated: Jul 23, 2025

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

1.7K
A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

16.0K
Detection and Isolation of Cancer in Prostate Biopsies Using Stimulated Raman Histology and Artificial Intelligence
08:08

Detection and Isolation of Cancer in Prostate Biopsies Using Stimulated Raman Histology and Artificial Intelligence

Published on: June 10, 2025

101

科学领域:

  • 医疗信息学 医疗信息学
  • 计算语言学 计算语言学
  • 医疗保健中的人工智能

背景情况:

  • 病理学报告对于医学研究至关重要,包含全面的诊断数据.
  • 现有的自然语言处理 (NLP) 来从这些报告中提取信息的方法在细节性和通用性方面存在局限性.
  • 报告中的语言变化,否定和人为错误妨碍了准确的自动化分析.

研究的目的:

  • 开发一个强大的系统,从病理学报告中提取关键诊断元素.
  • 克服现有的报告分类和概括问题的局限性.
  • 提高从医学文本中自动提取信息的细粒度和准确性.

主要方法:

  • 提出了一个基于BERT (变压器的双向编码器表示) 的命名实体识别 (NER) 系统.
  • 引入了四种数据增强技术,以提高模型的稳定性.
  • 在美国一家医疗中心的1438份注释乳腺病理学报告上训练和评估了该系统.

主要成果:

  • 带有数据增强的BERT NER系统在内部测试集上获得了0.916的实体F1得分.
  • 这一表现超过了基线BERT模型 (F1得分0.843).
  • 该模型表现出强大的通用性,在阿联的外部数据集上获得0.860的F1得分.

结论:

  • 开发的NER系统有效地从各种病理报告中提取细粒度的诊断信息.
  • 这种方法为医学和人工智能研究中大规模信息提取提供了潜力.
  • 该研究强调了BERT和数据增强对于强大的医疗NLP任务的有效性.