Results 131 to 140 of about 220,642 (267)

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

open access: yesArthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos   +2 more
wiley   +1 more source

Clinical, Histologic, and Serological Predictors of Renal Function Loss in Lupus Nephritis

open access: yesArthritis Care &Research, EarlyView.
Objective Kidney survival is the ultimate goal in lupus nephritis (LN) management, but long‐term predictors remain inadequately studied, requiring long‐term follow‐up. This study aimed to identify baseline and early longitudinal predictors of kidney survival in the Accelerating Medicines Partnership LN longitudinal cohort.
Shangzhu Zhang   +21 more
wiley   +1 more source

Photoreceptor outer segment disk rim curvature relies on a tetraspanin interaction web. [PDF]

open access: yesJ Biol Chem
Boucher RC   +6 more
europepmc   +1 more source

Suboxic Sediments [PDF]

open access: yes, 2019
Tostevin, R, Poulton, S
openaire   +2 more sources

Consumed by Abdominal Distention

open access: yes
Arthritis Care &Research, EarlyView.
Abimbola Fadairo‐Azinge   +3 more
wiley   +1 more source

Real‐World Safety and Effectiveness of JAK Inhibitors in Systemic Sclerosis: A Propensity‐Matched Study from the EUSTAR Cohort

open access: yesArthritis Care &Research, Accepted Article.
Objective JAK inhibitors (JAKis) have shown promising effects in early‐phase studies of SSc. We aimed to assess the safety and explore effectiveness of JAKis compared to conventional immunosuppressants in SSc. Methods A longitudinal retrospective study of the EUSTAR cohort was performed.
Stefano Di Donato   +27 more
wiley   +1 more source

Prediction of sedimentation concentration profiles in inclined suspension systems: A data-driven neural network framework. [PDF]

open access: yesSci Rep
Schimicoscki RS   +7 more
europepmc   +1 more source

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