Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

In-situ Hybridization02:31

In-situ Hybridization

9.6K
In situ hybridization (ISH) is a technique used to detect and localize specific DNA or RNA molecules in cells, tissue, or tissue sections using a labeled probe. The technique was first used in 1969 for the investigation of nucleic acids. It is currently an essential tool in scientific research and clinical settings, especially for diagnostic purposes.
Types of probes and labels
A probe is a complementary strand of DNA or RNA that binds to corresponding nucleotide sequences in a cell. Many...
9.6K
Hybridoma Technology01:31

Hybridoma Technology

15.3K
Hybridoma technology is used for the large-scale production of monoclonal antibodies. Monoclonal antibodies bind to only a single antigenic determinant or epitope. Such antibodies are used in research, diagnostics, and disease therapy. The hybridoma technology established in 1975 by Georges Köhler and Cesar Milstein was awarded the Nobel Prize in Medicine in 1984 for revolutionizing research and therapy.
Hybridoma Selection
Commonly used fusion techniques — electroporation,...
15.3K
Data Collection by Observations01:08

Data Collection by Observations

12.8K
Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
12.8K
Data Collection by Experiments01:13

Data Collection by Experiments

25.2K
Data collection is a systematic method of obtaining, observing, measuring, and analyzing accurate information. An experimental study is a standard method of data collection that involves the manipulation of the samples by applying some form of treatment prior to data collection. It refers to manipulating one variable to determine its changes on another variable. The sample subjected to treatment is known as “experimental units.”
An example of the experimental method is a public...
25.2K
Hybrid Zones02:29

Hybrid Zones

20.2K
Hybrid zones are narrow regions where two closely related species interact, mate, and produce hybrids. Relative to either parent species, hybrids may possess distinct phenotypic or genetic differences that impact their survival and reproductive success. The genetic variances introduced by hybridization influence species diversity and speciation processes within the hybrid zone.
20.2K
Language Development01:22

Language Development

450
Children master language quickly and with relative ease, supported by both biological predisposition and reinforcement. B. F. Skinner (1957) proposed that language is learned through reinforcement, while Noam Chomsky (1965) argued that language acquisition mechanisms are biologically determined.
The critical period for language acquisition suggests that the ability to acquire language is at its peak early in life. As people age, this proficiency decreases. Language development begins very...
450

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Automated classification of clinical T staging pulmonary oncology from chest CT reports: a natural language processing framework for real-world data utilization.

BMC medical informatics and decision making·2026
Same author

Pimobendan in Heart Failure With Preserved Ejection Fraction and Right Ventricular-Pulmonary Arterial Uncoupling　- A Randomized Clinical Trial.

Circulation journal : official journal of the Japanese Circulation Society·2026
Same author

Development of a Hybrid Algorithm of Claims Data and EMRs with NLP for Lung Cancer Identification.

Studies in health technology and informatics·2026
Same author

Development and Pilot Evaluation of the Full-Cloud Personal Health Train for Secure Federated Analysis Across Clinical Research Core Hospitals in Japan.

Studies in health technology and informatics·2026
Same author

Implementation and FAIR Evaluation of Clinical Data Provision Framework.

Studies in health technology and informatics·2026
Same author

Triglyceride-Glucose Index and Clinical Outcome in Patients With Heart Failure With Preserved Ejection Fraction.

JACC. Asia·2026

Related Experiment Video

Updated: Sep 12, 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

682

A Hybrid Natural Language Processing Platform for Multi-Site RWD Studies.

Kento Sugimoto1, Yasushi Matsumura1,2, Shoya Wada1,3

  • 1Department of Medical Informatics, Osaka University Graduate School of Medicine, Osaka, Japan.

Studies in Health Technology and Informatics
|August 8, 2025
PubMed
Summary

This study introduces a hybrid platform for efficient real-world data (RWD) analysis using natural language processing (NLP). It significantly speeds up processing while protecting patient privacy in multi-site research.

Keywords:
Distributed SystemNatural Language ProcessingRadiology ReportReal-World Data

More Related Videos

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

8.8K
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

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

Published on: June 13, 2025

579

Related Experiment Videos

Last Updated: Sep 12, 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

682
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

8.8K
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

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

Published on: June 13, 2025

579

Area of Science:

  • Health Informatics
  • Computational Linguistics
  • Data Science

Background:

  • Real-world data (RWD) from electronic medical records is crucial for healthcare research.
  • Integrating unstructured free-text clinical data presents significant challenges.
  • High computational costs and privacy concerns hinder natural language processing (NLP) implementation in multi-site RWD studies.

Purpose of the Study:

  • To propose a hybrid platform for efficient and privacy-preserving information extraction from free-text clinical data.
  • To facilitate effective data integration across multiple institutions in RWD studies.
  • To address the computational and privacy challenges associated with NLP in healthcare research.

Main Methods:

  • Development of a hybrid platform integrating centralized NLP processing with privacy protection.
  • Comparative experiments evaluating the hybrid platform against a fully distributed method.
  • Utilizing 500 sample reports for performance assessment.

Main Results:

  • The central NLP processing server demonstrated significantly superior performance, processing reports in 0.12 seconds compared to 64.23 seconds for on-site servers.
  • The central server showed minimal and consistent increases in processing time irrespective of report length, indicating efficiency and scalability.
  • The hybrid platform effectively addressed privacy and data governance issues.

Conclusions:

  • The developed hybrid platform enhances computational efficiency for NLP tasks in RWD studies.
  • The platform successfully tackles privacy and data governance challenges in multi-site research.
  • This approach facilitates effective information extraction from free-text clinical data across institutions.