Development of machine learning models for predicting non-remission in early RA highlights the robust predictive importance of the RAID score-evidence from the ARCTIC study by Gaoyang Li, Shrikant S. Kolan, Franco Grimolizzi, Joseph Sexton, Giulia Malachin, Guro Goll, Tore K. Kvien, Tore K. Kvien, Nina Paulshus Sundlisæter, Manuela Zucknick, Siri Lillegraven, Espen A. Haavardsholm, Espen A. Haavardsholm, Bjørn Steen Skålhegg

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Performance of the Rheumatoid Arthritis Impact of Disease (RAID) score in relation to flares in disease activity by Tore K Kvien, Gunnstein Bakland, Åse Lexberg, Lena Bugge Nordberg, Siri Lillegraven, Anna-Birgitte Aga, Joseph Sexton, Till Uhlig, Espen A Haavardsholm, Karen Holten, Daniel H Solomon, Maud-Kristine Aga Ljoså, Hallvard Fremstad, Tor Magne Madland, Hilde Haukeland, Inger Myrnes Hansen, Nina Paulshus Sundlisæter, Cristina Spada, Christian A Høili, IngerJohanne Widding Hansen

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Agreement between patient-reported flares and clinically significant flare status in patients with rheumatoid arthritis in sustained remission: data from the ARCTIC REWIND trials by Désirée van der Heijde, Gunnstein Bakland, Åse Lexberg, Lena Bugge Nordberg, Siri Lillegraven, Anna-Birgitte Aga, Joseph Sexton, Till Uhlig, Espen A Haavardsholm, Karen Holten, Daniel H Solomon, Ellen Moholt, Hallvard Fremstad, Hilde Haukeland, Nina Paulshus Sundlisæter, Cristina Spada, Kaja E Kjørholt, Christian A Høili, Tor Magne Madland, Inger Johanne Widding Hansen, Inger Myrnes Hansen, Maud-Kristine Aga Ljoså

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