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

Impact of Schemas01:30

Impact of Schemas

182
Schemas are cognitive structures that provide a framework for interpreting and organizing social information. They help individuals navigate complex environments by offering expectations about people, events, and behaviors. Schemas influence attention, encoding, and retrieval processes, thereby shaping the entire trajectory of information processing in social contexts.Attention and Cognitive LoadDuring initial attention, schemas function as filters that prioritize schema-consistent information,...
182
Schemata01:17

Schemata

317
A schema is a mental construct that organizes related concepts, allowing the brain to process information efficiently. Upon activation, schemata facilitate assumptions about people or objects.
Two types of schemata are:
317
Schemas01:42

Schemas

12.3K
A schema is a mental construct consisting of a cluster or collection of related concepts (Bartlett, 1932). There are many different types of schemata, and they all have one thing in common: schemata are a method of organizing information that allows the brain to work more efficiently. When a schema is activated, the brain makes immediate assumptions about the person or object being observed.
12.3K
Ligand Binding and Linkage00:49

Ligand Binding and Linkage

5.4K
Allosteric proteins have more than one ligand binding site; the binding of a ligand to any of these sites influences the binding of ligands to the other sites. When a protein is allosteric, its binding sites are called coupled or linked.  In the case of enzymes, the site that binds to the substrate is known as the active site and the other site is known as the regulatory site. When a ligand binds to the regulatory site, this leads to conformational changes in the protein that can influence...
5.4K
Ligand Binding and Linkage00:49

Ligand Binding and Linkage

3.9K
3.9K
Data Validation01:03

Data Validation

6.3K
Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
6.3K

You might also read

Related Articles

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

Sort by
Same author

From Primary Melanoma to Metastatic Evolution: AI-Powered Pathology Integrated with Functional Analysis and Clinical Metadata Improving Treatment Prediction.

Cancers·2026
Same author

Specific Aneuploidies Predict Immune Evasion and Poor Immunotherapy Response in Melanoma.

bioRxiv : the preprint server for biology·2026
Same author

BDI-Kit: An AI-powered toolkit for biomedical data harmonization.

Patterns (New York, N.Y.)·2026
Same author

Spatial Mapping of the Precancer-to-Cancer Transition in Breast and Prostate.

Cancer discovery·2026
Same author

Pan-cancer proteogenomic interrogation of the Ubiquitin Proteasome System.

bioRxiv : the preprint server for biology·2026
Same author

From FAIR to CURE: guidelines for computational models of biological systems.

NPJ systems biology and applications·2026
Same journal

GLLA: A Unified Force-Directed Graph Layout Framework Supporting Local Adjustments.

IEEE transactions on visualization and computer graphics·2026
Same journal

Multi-Perception Crowd: Learning to combine entity and implicit perception for diverse crowd simulation.

IEEE transactions on visualization and computer graphics·2026
Same journal

Hiding in Plain Sight: Camouflaging Real-world Objects.

IEEE transactions on visualization and computer graphics·2026
Same journal

RTF2Mesh: Restricted Tangent Face Based Mesh Compression With Neural Displacement Fields.

IEEE transactions on visualization and computer graphics·2026
Same journal

Practical Occluder Generation for Mobile Games.

IEEE transactions on visualization and computer graphics·2026
Same journal

Spatial-temporal Relation guided Motion Transfer via Diffusion Model.

IEEE transactions on visualization and computer graphics·2026
See all related articles
  1. Home
  3. Bdiviz: An Interactive Visualization System For Biomedical Schema Matching With Llm-powered Validation.
  1. Home
  3. Bdiviz: An Interactive Visualization System For Biomedical Schema Matching With Llm-powered Validation.

Related Experiment Video

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

1.2K

BDIViz: An Interactive Visualization System for Biomedical Schema Matching with LLM-Powered Validation.

Eden Wu, Dishita G Turakhia, Guande Wu

    IEEE Transactions on Visualization and Computer Graphics
    |December 12, 2025

    View abstract on PubMed

    Summary
    This summary is machine-generated.

    BDIViz streamlines biomedical data schema matching using interactive visualizations and LLM validation. This novel system improves accuracy and reduces curation time for complex datasets.

    More Related Videos

    Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
    10:44

    Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

    Published on: December 7, 2021

    2.6K
    Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
    09:37

    Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

    Published on: August 15, 2019

    10.3K

    Related Experiment Videos

    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

    1.2K
    Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
    10:44

    Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

    Published on: December 7, 2021

    2.6K
    Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
    09:37

    Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

    Published on: August 15, 2019

    10.3K

    Area of Science:

    • Biomedical Informatics
    • Data Science
    • Human-Computer Interaction

    Background:

    • Biomedical data harmonization is crucial for research but schema matching is difficult.
    • Current automated methods struggle with accuracy on complex biomedical schemas.
    • Manual schema matching is time-consuming and prone to errors.

    Purpose of the Study:

    • To develop a novel visual analytics system, BDIViz, to streamline biomedical data schema matching.
    • To address scalability and semantic ambiguity challenges in schema matching.
    • To improve the efficiency and accuracy of matching disparate biomedical datasets.

    Main Methods:

    • Developed BDIViz, an interactive visual analytics system incorporating user-centered design.
    • Employed an ensemble approach combining multiple matching methods with LLM-based validation.
  • Utilized interactive heatmaps and coordinated views for efficient attribute comparison.

    • Main Results:

    • BDIViz significantly improves schema matching accuracy compared to baseline methods.
    • The system reduces cognitive load and curation time for domain experts.
    • User studies demonstrated the effectiveness of BDIViz in two biomedical case studies.

    Conclusions:

    • BDIViz offers an effective solution for the challenging task of biomedical data schema matching.
    • Interactive visualization and ensemble methods enhance accuracy and usability.
    • The system facilitates more efficient exploratory analyses and meta-studies in biomedicine.