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Identification of multiple sclerosis endophenotypes by high dimensional blood signatures associated with distinct disease trajectories

Author:Gross, Catharina C   Schulte-Mecklenbeck, Andreas   Steinberg, Olga V   Wirth, Timo   Lauks, Sarah   Baranzini, Sergio E   Bittner, Stefan   Bellmann-Strobl, Judith   Bünger, Nora   Eilers, Eva   Eveslage, Maria   Fleischer, Vinzenz   Gisevius, Barbara   Groppa, Sergiu   Haas, Jürgen   Kerschensteiner, Martin   Kirstein, Lucienne   Korsukewitz, Catharina   Lohmann, Lisa   Lünemann, Jan   Lüssi, Felix   Meyer zu Hörste, Gerd   Motte, Jeremias   Ruck, Tobias   Schwab, Nicholas   Meuth, Sven G   Paul, Friedemann   Wildemann, Brigitte   Kümpfel, Tania   Gold, Ralf   Zipp, Frauke   Klotz, Luisa   Wiendl, Heinz   

Session Name:P1: MS Biomarkers  

Topic:MS and Inflammatory Disease  

Program Number:P1.008  

Author Institution:University Hospital Münster, Münster, Germany  University of California San Francisco, San Francisco, CA  University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany  Max Delbrueck Center for Molecular Medicine and Charité Universitätsmedizin Berlin, Berlin, Germany  University of Münster, Münster, Germany  University Hospital Bochum, Bochum, Germany  University of Heidelberg, Heidelberg, Germany  Ludwig Maximilians University of Munich, Munich, Germany  University and University Hospital of Münster, Münster, Germany  Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany  Charite Universitatsmedizin in Berlin, Berlin, Germany  University Hospital Heidelberg, Heidelberg, Germany  

Treatment with rhFGF18 Analog Results in Cerebroprotection and Recovery of Motor and Memory Function in a Rat Model of Acute Ischemic Stroke

Development and Validation of Machine Learning and Electronic Medical Records-Based Characterization of Stiff Person Syndrome