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Research2

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  • Advancing Biomedical Data Science through Transparent, Explainable, and Trustworthy AI

    Bukhari Lab

    HUMAN + AI > HUMAN

    Our work is proudly supported by the National Science Foundation (NSF).
  • Semantically

    Balancing the speed and accuracy in structured biomedical content authoring

    Our Socio-technical Approach for Biomedical Content Authoring and Structured Web Publishing
  • Medical

    Knowledge Engineering & Prediction

    Solutions

    Check our Completed Research Projects
  • Clinical

    Decision Support System

    Research, Analytics & Prediction
    Our Expertise

Reporting and connecting cell type names and gating definitions through ontologies

Fixing the Data Interoperability Challenges Fixing the Data Interoperability Challenges

Project Summary Background Human immunology studies often rely on the isolation and quantification of cell …

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Ontology-Based Scientific Metadata Generation

Fixing the Data Interoperability Challenges Fixing the Data Interoperability Challenges

Project Summary Background Public biomedical data repositories often provide web-based interfaces to collect experimental metadata. …

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