Multiparametric Bioinformatics Distinguish the CD4/CD8 Ratio as a Suitable Laboratory Predictor of Combined T Cell Pathogenesis in HIV Infection

Marcus Buggert, Juliet Wairimu Frederiksen, Kajsa Noyan, Jenny Svärd, Babilonia Barqasho, Anders Sönnerborg, Ole Lund, Piotr Nowak, Annika C. Karlsson

    Research output: Contribution to journalJournal articleResearchpeer-review

    Fingerprint

    Dive into the research topics of 'Multiparametric Bioinformatics Distinguish the CD4/CD8 Ratio as a Suitable Laboratory Predictor of Combined T Cell Pathogenesis in HIV Infection'. Together they form a unique fingerprint.

    Immunology and Microbiology

    Medicine and Dentistry