R
Rüdiger Müller
Researcher at University of St. Gallen
Publications - 11
Citations - 230
Rüdiger Müller is an academic researcher from University of St. Gallen. The author has contributed to research in topics: Population & Artificial neural network. The author has an hindex of 3, co-authored 11 publications receiving 187 citations.
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Journal ArticleDOI
Tumor necrosis factor α inhibition in radiographic and nonradiographic axial spondyloarthritis: results from a large observational cohort.
Adrian Ciurea,Almut Scherer,Pascale Exer,Jürg Bernhard,Jean Dudler,Brigitte Beyeler,Rudolf O. Kissling,Daniel J. Stekhoven,Kaspar Rufibach,Giorgio Tamborrini,Bettina Weiss,Rüdiger Müller,Michael John Nissen,Beat A. Michel,Désirée van der Heijde,Maxime Dougados,Annelies Boonen,Ulrich Weber +17 more
TL;DR: The indications for treatment with anti-TNF agents were comparable for patients with radiographic axial SpA and those with nonradiographic axIAL SpA.
Journal ArticleDOI
Impaired response to treatment with tumour necrosis factor α inhibitors in smokers with axial spondyloarthritis
Adrian Ciurea,Almut Scherer,Ulrich Weber,Pascale Exer,Jürg Bernhard,Giorgio Tamborrini,Myriam Riek,Rüdiger Müller,Bettina Weiss,Michael John Nissen,Rudolf O. Kissling,Beat A. Michel,Axel Finckh +12 more
TL;DR: Current smoking is associated with an impaired response to TNFi in axSpA and this effect was numerically smaller in patients with elevated baseline C-reactive protein (CRP) level.
Journal ArticleDOI
Personalized prediction of disease activity in patients with rheumatoid arthritis using an adaptive deep neural network
Maria Kalweit,Ulrich A. Walker,Axel Finckh,Rüdiger Müller,Gabriel Kalweit,Almut Scherer,Joschka Boedecker,Thomas Hügle +7 more
TL;DR: AdaptiveNet as mentioned in this paper is a novel adaptive recurrent neural network optimized to deal with heterogeneous and missing clinical data, which can be used to predict future disease activity as potential clinical decision support.
Posted ContentDOI
Personalized Prediction of Disease Activity in Patients with Rheumatoid Arthritis Using an Adaptive Deep Neural Network
Maria Hügle,Ulrich A. Walker,Axel Finckh,Rüdiger Müller,Gabriel Kalweit,Almut Scherer,Joschka Boedecker,Thomas Hügle +7 more
TL;DR: Deep neural networks have the capacity to predict individual numeric disease activity in RA but low specificity remains challenging and might benefit from alternative input data or outcome targets.
Proceedings ArticleDOI
Fri0164 incidence rate and characterization of herpes zoster in patients with moderate-to-severe rheumatoid arthritis: an update from baricitinib clinical studies
Yi-Hsing Chen,Yi-Ming Chen,Josef S Smolen,Tsutomu Takeuchi,Rüdiger Müller,David Walker,Ran Liao,Clementine Perrier,Wen-Shuo Wu,Kevin L. Winthrop +9 more
TL;DR: HZ incidence in BARI-treated RA pts did not increase over time and the majority of HZ events were monodermatomal and uncomplicated, while those who were older and those from Asia were at increased risk of a HZ event.