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Thematic series on Digital Rheumatology

Digital Rheumatology

Arthritis Research & Therapy has launched a new thematic series dedicated to the topic Digital Rheumatology.

Articles

  1. Authors: Johannes Knitza, Koray Tascilar, Nicolas Vuillerme, Ekaterina Eimer, Paul Matusewicz, Giulia Corte, Louis Schuster, Timothée Aubourg, Gerlinde Bendzuck, Marianne Korinth, Corinna Elling-Audersch, Arnd Kleyer, Sebastian Boeltz, Axel J. Hueber, Gerhard Krönke, Georg Schett…

Join our 20th anniversary celebrations by browsing through the journal’s milestone achievements and our specially commissioned Editorial collection.

Editors-in-Chief

Professor Christopher Buckley, University of Birmingham and University of Oxford, UK
Professor Harris Perlman, Northwestern University, USA

Trending articles

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First Author Profiles

Meet this month's featured authors!

Aims and scope

Established in 1999, Arthritis Research and Therapy is an international, open access, peer-reviewed journal, publishing original articles in the area of musculoskeletal research and therapy as well as, reviews, commentaries and reports.
A major focus of the journal is on the immunologic processes leading to inflammation, damage and repair as they relate to autoimmune rheumatic and musculoskeletal conditions, and which inform the translation of this knowledge into advances in clinical care.
Original basic, translational and clinical research is considered for publication along with results of early and late phase therapeutic trials, especially as they pertain to the underpinning science that informs clinical observations in interventional studies.

Featured Review: The importance of ultrasound in identifying and differentiating patients with early inflammatory arthritis

New Content ItemKaeley et al. provide an in-depth review of how ultrasound—a portable, convenient, noninvasive, and cost-effective imaging technique—can be used in the differential diagnosis of early inflammatory arthritis phenotypes and also assess any important limitations of the technique. The authors also propose an algorithm that may enable working through a differential diagnosis both clinically and by prioritizing anatomical targets.

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