Results 181 to 190 of about 578,117 (273)

Interleukin‐2 deprived state of regulatory T cells and their recovery by low‐dose interleukin‐2 in patients with inflammatory myopathies

open access: yesArthritis &Rheumatology, Accepted Article.
Objective Regeneration and expansion of regulatory T cells (Treg) by low‐dose interleukin‐2 (IL‐2) therapy is considered a potential treatment strategy for a wide range of autoimmune diseases. To provide a pathophysiologically‐based rationale for low‐dose IL‐2 therapy, we investigated whether reversible defects in the Treg‐IL‐2 axis emerge in ...
Justus Ohmes   +10 more
wiley   +1 more source

Identifying systemic lupus erythematosus from serum proteomic profiles using machine learning and genetic risk stratification

open access: yesArthritis &Rheumatology, Accepted Article.
Objectives Proteome‐wide risk models for lupus remain underexplored. We developed classification models to identify lupus from serum proteomic profiles. Methods Lupus patients and individuals with other autoimmune diseases in the UK Biobank were included.
Mehmet Hocaoǧlu   +2 more
wiley   +1 more source

Partial keywords and word frequency.

open access: green
Changlu Zhang (11681607)   +3 more
openalex   +1 more source

Development of effective 3D digital models for first‐time learners of musculoskeletal anatomy

open access: yesAnatomical Sciences Education, EarlyView.
Abstract Musculoskeletal anatomy is a critical component of allied health curricula. With the ubiquity of technology in the classroom and the recent COVID‐19 pandemic creating accessibility barriers for students, there is a need for viable digital resources to enhance learning by supplementing traditional textbook studying.
Alexander H. Safir   +2 more
wiley   +1 more source

Data, not documents: Moving beyond theories of information‐seeking behavior to advance data discovery

open access: yesJournal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 649-664, April 2025.
Abstract Many theories of human information behavior (HIB) assume that information objects are in text document format. This paper argues four important HIB theories are insufficient for describing users' search strategies for data because of assumptions about the attributes of objects that users seek.
Anthony J. Million   +3 more
wiley   +1 more source

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