Results 121 to 130 of about 116,607 (257)

Reduced C3 Levels Link Dyslipidemia and Renal Involvement in Systemic Lupus Erythematosus. [PDF]

open access: yesJ Inflamm Res
Cheng S   +9 more
europepmc   +1 more source

A Rare RIPK3 Variant Enhances Necroptosis and Promotes Inflammation in a Still Disease–Like Autoinflammatory Syndrome

open access: yesArthritis &Rheumatology, EarlyView.
Objective Still disease represents a prototypical polygenic systemic autoinflammatory disease, characterized by recurrent systemic inflammation and dysregulation of innate immunity. Despite extensive clinical characterization, familial clustering Still disease remains unreported.
Longfang Chen   +23 more
wiley   +1 more source

Is full automation in ESR measurement clinically reliable? Revisiting a classic test. [PDF]

open access: yesAdv Lab Med
Vélez de Mendizabal A   +3 more
europepmc   +1 more source

ESR and Social Class [PDF]

open access: yesScandinavian Journal of Primary Health Care, 1987
openaire   +2 more sources

Machine Learning to Predict Remission Between 6 and 24 Months in Rheumatoid Arthritis: Insights From JAK, an International Registry Collaboration

open access: yesArthritis &Rheumatology, EarlyView.
Objective To develop, externally validate, and simplify a machine learning model to predict remission between 6 and 24 months in patients with rheumatoid arthritis (RA) initiating tumor necrosis factor inhibitors, JAK inhibitors, interleukin‐6 inhibitors, abatacept, or rituximab using data from 11 international registries in the JAK‐pot collaboration ...
Zubeyir Salis   +22 more
wiley   +1 more source

Inferring Rheumatoid Arthritis Disease Activity Status From the Electronic Health Records Across Health Systems

open access: yesArthritis &Rheumatology, EarlyView.
Objective Disease activity plays a central role in rheumatoid arthritis (RA) clinical studies. The inconsistent availability of data on disease activity in real‐world electronic health records (EHRs) data has limited the ability to generate real‐world evidence (RWE).
David Cheng   +34 more
wiley   +1 more source

Scientific collaboration in data‐intensive research networks: PhD fellows' expectations and early experiences

open access: yesJournal of the Association for Information Science and Technology, EarlyView.
Abstract Collaboration has become important at all stages of research careers. In data‐intensive research fields such as wind energy, many PhD fellows are socialized to such collaboration in networks that train a cohort of PhD fellows. Based on interviews with 23 PhD fellows in four wind‐energy training networks, we investigate their expectations and ...
Grischa Fraumann   +3 more
wiley   +1 more source

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