Results 201 to 210 of about 827,605 (367)

Cytokine, Chemokine, and Neurofilament Light Chain Signatures in LGI1 Autoimmune Encephalitis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives To investigate the value of cytokine, chemokine, and neurofilament light chain (NfL) concentrations in predicting relapse risk, chronic epilepsy, and functional impairment in LGI1 autoimmune encephalitis (AE). Methods Cytokines/chemokines (IL‐1‐beta, IL‐2, IL‐4, IL‐5, IL‐6, IL‐8/CXCL8, IL‐10, IL‐12p70, IL‐13, IL‐17A, GM‐CSF, TNF ...
Albert Aboseif   +17 more
wiley   +1 more source

Moderators and Mediators of Pain and Function Outcomes in a New Service Delivery Model for Management of Knee Osteoarthritis in Primary Care: Secondary Exploratory Analysis of a Randomized Controlled Trial

open access: yesArthritis Care &Research, EarlyView.
Objective Our objective was to explore moderators and mediators influenced changes in pain and function in people with knee osteoarthritis (OA) receiving a new model of primary care service delivery (Optimizing Primary Care Management of Knee Osteoarthritis [PARTNER]), at 12 months (ACTRN: 12617001595303).
Abdolhay Farivar   +12 more
wiley   +1 more source

Adipokines and Associations with Incident Osteoporotic Fracture in Patients with Rheumatoid Arthritis

open access: yesArthritis Care &Research, Accepted Article.
Purpose We assessed whether circulating adipokines are associated with incident fractures in patients with rheumatoid arthritis (RA). Methods Three adipokines (adiponectin, leptin, fibroblast growth factor [FGF]‐21) were measured using banked enrollment serum from participants in a longitudinal RA cohort.
Joshua F. Baker   +9 more
wiley   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez   +2 more
wiley   +1 more source

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