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AI steps in to fix failing kidney treatments

NCT ID NCT06341205

Recruiting now Disease control Sponsor: Centre Hospitalier Universitaire de Nice Source: ClinicalTrials.gov ↗

Summary

This study aims to improve treatment for membranous nephropathy, a serious autoimmune kidney disease. It will test if using a machine learning (AI) algorithm to predict which patients have too little medication in their system can help doctors give personalized, extra doses of rituximab earlier. The goal is to help more patients achieve remission and protect their kidney function.

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Contacts and locations

Study contacts

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

Locations

  • AP-HM - Hôpital de la Conception

    RECRUITING

    Marseille, France

    Contact

  • AP-HP - Hôpital Européen Georges Pompidou

    NOT_YET_RECRUITING

    Paris, France

    Contact

  • AP-HP - Hôpital H. Mondor

    RECRUITING

    Créteil, France

    Contact

  • AP-HP - Hôpital Necker

    NOT_YET_RECRUITING

    Paris, France

    Contact

  • CH de Valenciennes

    NOT_YET_RECRUITING

    Valenciennes, France

    Contact

  • CHRU de TOURS - Hôpital Bretonneau

    RECRUITING

    Tours, France

    Contact

  • CHU de BESANCON

    RECRUITING

    Besançon, France

    Contact

  • CHU de BORDEAUX - Hôpital Pellegrin

    RECRUITING

    Bordeaux, France

    Contact

  • CHU de CAEN

    RECRUITING

    Caen, France

    Contact

  • CHU de NICE

    RECRUITING

    Nice, France

    Contact

    Contact Phone: •••-•••-•••• Email: •••••@•••••

    Contact

  • CHU de Nîmes - Hôpital CAREMEAU

    RECRUITING

    Nîmes, France

    Contact

  • CHU de TOULOUSE - Hôpital Rangueil

    RECRUITING

    Toulouse, France

    Contact

  • HCL - Hôpital E. Herriot

    RECRUITING

    Lyon, France

    Contact

Conditions

Explore the condition pages connected to this study.

MEMBRANOUS NEPHROPATHY