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  • DSpace: Utilizing Data Science to Predict and Improve Health Outcomes in Pediatric HIV


    DSpace_logo.jpg

    No website available

    Other PIs:
    • Samuel Kyobe
    Acronym

    DSpace

    Contact PI

    dspace.png

    Gaone Retshabile
    View email geretshabile@gmail.com

    Project type

    Research Project

    Grant Number

    U01HD114479

    Summary

    The project combines longitudinal electronic medical records with 'omics data to predict the development of metabolic syndrome in HIV infected children using artificial intelligence/ machine learning techniques. In addition, the project also seeks to develop more sensitive TB diagnostics biomarkers utilizing electronic health records and multi-omics data.

    Other resources / documents

    N/A