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Updated: May 19, 2026

A Robust Discovery Platform for the Identification of Novel Mediators of Melanoma Metastasis
07:41

A Robust Discovery Platform for the Identification of Novel Mediators of Melanoma Metastasis

Published on: March 8, 2022

A service-oriented distributed semantic mediator: integrating multiscale biomedical information.

Oscar Mora, Gerhard Engelbrecht, Jesus Bisbal

    IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society
    |August 30, 2012
    PubMed
    Summary
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    DISMED (DIstributed Semantic MEDiator) unifies biomedical data from multiple sources. This open-source tool improves research efficiency by providing faster access to distributed scientific data.

    Area of Science:

    • Biomedical Informatics
    • Data Science
    • Semantic Web Technologies

    Background:

    • Biomedical research generates vast, heterogeneous, and multimodal data across numerous sources.
    • Effective data sharing and utilization are crucial for advancing research and improving healthcare.
    • Existing data management solutions often struggle with distributed and diverse biomedical datasets.

    Purpose of the Study:

    • To introduce DISMED (DIstributed Semantic MEDiator), an open-source semantic mediator.
    • To provide a unified view of federated, multiscale biomedical data sources.
    • To facilitate research by simplifying access to distributed scientific data for non-expert users.

    Main Methods:

    • Developed DISMED, a Web-based software application utilizing semantic technologies.

    Related Experiment Videos

    Last Updated: May 19, 2026

    A Robust Discovery Platform for the Identification of Novel Mediators of Melanoma Metastasis
    07:41

    A Robust Discovery Platform for the Identification of Novel Mediators of Melanoma Metastasis

    Published on: March 8, 2022

  • Created a quantitative evaluation framework with a benchmarking scenario and five realistic use-cases.
  • Compared DISMED's performance against other mediators using public datasets.

    • Main Results:

    • DISMED offers a user-friendly interface for semantic technology access.
    • The evaluation framework enables systematic and comparable assessment of semantic mediation progress.
    • DISMED demonstrated an average 55% improvement in execution time compared to the next best alternative in four out of five use-cases.

    Conclusions:

    • DISMED effectively manages and integrates distributed biomedical data.
    • The developed evaluation framework supports community-driven progress in semantic mediation.
    • DISMED enhances biomedical research efficiency and data accessibility.