Filippo Fagni

Department of Medicine 3 – Rheumatology and Immunology

Blood-Based Biomarkers of Inflammation and Tissue Remodeling Can Discriminate Between Rheumatoid Arthritis, Psoriasis, and Psoriatic Arthritis and Are Associated with Hand Function (2023) Port Linares H, Coppers B, Bayat S, Godonou ET, Fagni F, Corte G, Bay-Jensen AC, et al. Conference contribution, Abstract of a poster Deepnapsi: Deep Learning for Nail Psoriasis Prediction (2023) Folle L, Fenzl P, Fagni F, Thies M, Christlein V, Meder C, Sticherling M, et al. Conference contribution Author Correction: DeepNAPSI multi-reader nail psoriasis prediction using deep learning. (2023) Folle L, Fenzl P, Fagni F, Thies M, Christlein V, Meder C, Simon D, et al. Journal article, Erratum An AI-Powered Clinical Decision Support System to Predict Flares in Rheumatoid Arthritis: A Pilot Study (2023) Labinsky H, Ukalovic D, Hartmann F, Runft V, Wichmann A, Jakubcik J, Gambel K, et al. Journal article Kidney involvement in Rosai-Dorfman disease (2023) Mazzariol M, Peyronel F, Fagni F, Minervini A, Santi R, Agostini S, Vaglio A Journal article Neural Networks for Distinguishing Rheumatoid Arthritis from Psoriatic Arthritis by Using Magnetic Resonance Imaging (2022) Folle L, Bayat S, Kleyer A, Fagni F, Kapsner L, Schlereth M, Meinderink T, et al. Conference contribution, Abstract of a poster At the Heart of Eosinophilic Granulomatosis with Polyangiitis: into Cardiac and Vascular Involvement (2022) Bond M, Fagni F, Moretti M, Bello F, Egan A, Vaglio A, Emmi G, Dejaco C Journal article, Review article Long-term treatment in rheumatoid arthritis: do biological and targeted-synthetic DMARDs increase the risk of malignancy? (2022) Fagni F, Simon D Journal article, Editorial Fibroblast Activation in Psoriasis Patients Assessed by Ga-68-FAPI-04 PET-CT Is Associated with Progression to Psoriatic Arthritis (2022) Fagni F, Simon D, Kleyer A, Tascilar K, Taubmann J, Bayat S, Minopoulou I, et al. Conference contribution Cinematic rendering in rheumatic diseases-Photorealistic depiction of pathologies improves disease understanding for patients (2022) Pachowsky M, Morf H, Simon D, Schönau V, Valor-Mendez L, Knitza J, Fagni F, et al. Journal article