Blar i ODA Open Digital Archive på forfatter "Uccelli, Antonio"

Viser treff 1-3 av 3

    • Immune cell subpopulations and serum neurofilament light chain are associated with increased risk of disease worsening in multiple sclerosis 

      Brune-Ingebretsen, Synne; Høgestøl, Einar August; de Rosbo, Nicole Kerlero; Berg-Hansen, Pål; Brunborg, Cathrine; Blennow, Kaj; Zetterberg, Henrik; Paul, Friedemann; Uccelli, Antonio; Villoslada, Pablo; Harbo, Hanne-Cathrin Flinstad; Berge, Tone (Peer reviewed; Journal article, 2023)
      Changes is lymphocyte subpopulations in peripheral blood have been proposed as biomarkers for evaluation of disease activity in multiple sclerosis (MS). Serum neurofilament light chain (sNfL) is a biomarker reflecting ...

    • Impact of treatment on cellular immunophenotype in MS: A cross-sectional study 

      Cellerino, Maria; Ivaldi, Frederico; Pardini, Matteo; Rotta, Gianluca; Vila, Gemma; Bäcker-Koduah, Priscilla; Berge, Tone; Laroni, Alice; Lapucci, Caterina; Novi, Giovanni; Boffa, Giacomo; Sbragia, Elvira; Palmeri, Serena; Aassayer, Susanna; Høgestøl, Einar August; Campi, Cristina; Piana, Michele; Inglese, Matilde; Friedemann, Paul; Harbo, Hanne Flinstad; Villoslada, Pablo; Kerlero de Rosbo, Nicole; Uccelli, Antonio (Neurology, Neuroimmunology and Neuroinflammation;volume 7, issue 3, Journal article; Peer reviewed, 2020-03-05)
      Objective: To establish cytometry profiles associated with disease stages and immunotherapy in MS. Methods: Demographic/clinical data and peripheral blood samples were collected from 227 patients with MS and 82 sex- and ...

    • Predicting disease severity in multiple sclerosis using multimodal data and machine learning 

      Andorra, Magi; Freire, Ana; Zubizarreta, Irati; de Rosbo, Nicole Kerlero; Bos, Steffan Daniel; Rinas, Melanie; Høgestøl, Einar August; de Rodez Benavent, Sigrid Aune; Berge, Tone; Brune, Synne; Ivaldi, Federico; Cellerino, Maria; Pardini, Matteo; Vila, Gemma; Pulido-Valdeolivas, Irene; Martinez-Lapiscina, Elena H.; Llufriu, Sara; Saiz, Albert; Blanco, Yolanda; Martinez-Heras, Eloy; Solana, Elisabeth; Bäcker-Koduah, Priscilla; Behrens, Janina; Kuchling, Joseph; Asseyer, Susanna; Scheel, Michael; Chien, Claudia; Zimmermann, Hanna; Motamedi, Seyedamirhosein; Kauer-Bonin, Josef; Brandt, Alex; Saez-Rodriguez, Julio; Alexopoulos, Leonidas G.; Paul, Friedemann; Harbo, Hanne-Cathrin Flinstad; Shams, Hengameh; Oksenberg, Jorge; Uccelli, Antonio; Baeza-Yates, Ricardo; Villoslada, Pablo (Peer reviewed; Journal article, 2023)
      Background Multiple sclerosis patients would benefit from machine learning algorithms that integrates clinical, imaging and multimodal biomarkers to define the risk of disease activity. Methods We have analysed a prospective ...