Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Health Information Technology and Healthcare Information System

Health Information Technology and Healthcare Information System

Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:

Statistical Software for Data Analysis and Clinical Trials

Statistical Software for Data Analysis and Clinical Trials

Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...

Translational Regulation

Translational Regulation

Translational regulation in prokaryotes ensures efficient protein synthesis by controlling ribosome access to mRNA. This regulation is mediated by secondary RNA structures, including translational riboswitches, RNA thermometers, and small RNAs (sRNAs), which respond to intracellular and environmental signals to modulate gene expression.Translational RiboswitchesRiboswitches in the leader region of mRNAs can regulate translation by altering the accessibility of the Shine-Dalgarno (SD) sequence,...

You might also read

Related Articles

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

Sort by

Same author

First Measurement of Time-Dependent CP Violation in the Flavor-Changing Neutral-Current Decay B^{0}→K_{S}^{0}μ^{+}μ^{-}.

Physical review letters·2026

Same author

Measurement of the Top-Quark Production Cross Section and Charge Asymmetry at LHCb.

Physical review letters·2026

Same author

Searches for B^{0}→K^{+}π^{-}τ^{+}τ^{-} and B_{s}^{0}→K^{+}K^{-}τ^{+}τ^{-} Decays.

Physical review letters·2026

Same author

First Evidence of the B_{s}^{0}→K^{-}π^{+}γ Decay.

Physical review letters·2026

Same author

Precision Measurement of CP Violation and Branching Fractions in B^{±}→K_{S}^{0}h^{±} (h=π, K) Decays and Search for the Rare Decay B_{c}^{±}→K_{S}^{0}K^{±}.

Physical review letters·2026

Same author

A severe case of panitumumab-associated cicatricial ectropion and periorbital dermatitis.

Canadian journal of ophthalmology. Journal canadien d'ophtalmologie·2026

Search research articles

Related Experiment Video

Updated: May 12, 2026

Biomarker Identification for Gender Specificity of Alzheimer's Disease Based on the Glial Transcriptome Profiles

Biomarker Identification for Gender Specificity of Alzheimer's Disease Based on the Glial Transcriptome Profiles

Published on: May 20, 2024

TRIAD: The Translational Research Informatics and Data Management Grid.

P Payne¹, D Ervin, R Dhaval

¹The Ohio State University, Department of Biomedical Informatics, Center for IT Innovations in Healthcare, and Center for Clinical and Translational Science , Columbus, OH.

Applied Clinical Informatics

|April 26, 2013

Summary

This summary is machine-generated.

The Translational Research Informatics and Data-management grid (TRIAD) platform enables agile "working interoperability" for distributed biomedical data. This service-oriented architecture facilitates data integration and analysis across organizational boundaries in clinical research.

Keywords:

Clinical research informatics data access data analysis data integration socio-organizational issues standards workflow

More Related Videos

Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research

Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research

Published on: January 22, 2011

Related Experiment Videos

Last Updated: May 12, 2026

Biomarker Identification for Gender Specificity of Alzheimer's Disease Based on the Glial Transcriptome Profiles

Biomarker Identification for Gender Specificity of Alzheimer's Disease Based on the Glial Transcriptome Profiles

Published on: May 20, 2024

Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research

Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research

Published on: January 22, 2011

Area of Science:

Biomedical Informatics
Clinical and Translational Science
Data Management

Background:

Biomedical research programs require robust infrastructures for managing diverse, distributed data collections across organizations.
Existing systems often struggle with the heterogeneity and multi-dimensionality of biomedical data.
Seamless data and knowledge sharing is crucial for multi-site, multi-disciplinary research initiatives.

Purpose of the Study:

To design and deploy an extensible biomedical informatics platform to address the challenges of distributed data management.
To enable the collection, management, analysis, and dissemination of heterogeneous, multi-dimensional, and distributed data and knowledge.
To support agile "working interoperability" between disparate data and knowledge resources in clinical and translational science.

Main Methods:

Implemented an extensible service-oriented architecture (SOA) platform named Translational Research Informatics and Data-management grid (TRIAD).
TRIAD is an extension of the caGrid middleware, focusing on data and analytical service integration.
Utilized SOA principles to create data and knowledge integration and analysis "pipelines".

Main Results:

Demonstrated that TRIAD achieves agile "working interoperability" between distributed data and knowledge sources.
Initial verification and validation studies confirmed the platform's effectiveness in addressing key research problems.
TRIAD successfully facilitated the integration and analysis of heterogeneous biomedical data.

Conclusions:

TRIAD offers a lightweight and adoptable approach to utilizing SOA technologies in clinical and translational research.
The platform effectively enables "working interoperability" in complex, heterogeneous biomedical environments.
Initial use cases highlight the importance of such interoperability for advancing biomedical research.