Results 261 to 270 of about 3,642,371 (354)

Assessment of Pain Types in Recently Diagnosed Patients With Inflammatory Arthritis

open access: yesArthritis Care &Research, EarlyView.
Objective Up to 40% of patients with inflammatory arthritis (IA) experience persistent pain, traditionally thought to be associated with a shift from peripherally to centrally mediated pain during the disease course in some patients. We assessed sensory profiles of recently diagnosed individuals with IA, hypothesizing that pain reported at this early ...
Zoe Rutter‐Locher   +8 more
wiley   +1 more source

Is Periodontal Inflammation Associated with Liver Cirrhosis? A Cross-Sectional Study. [PDF]

open access: yesJ Clin Med
Rinčić G   +6 more
europepmc   +1 more source

Ultrasound compared to Computed Tomography in identifying thoracic aortic aneurysms in patients with Giant Cell Arteritis

open access: yesArthritis Care &Research, Accepted Article.
Objectives The objectives of this study were to evaluate the correlation and agreement between ultrasound and computed tomography (CT) in measuring ascending aorta diameter in patients with giant cell arteritis (GCA) and to investigate the development of new ascending aortic aneurysms in patients with newly diagnosed GCA. Methods To achieve the primary
Anne C Bull Haaversen   +4 more
wiley   +1 more source

Quality of life in people with herpes zoster: a cross-sectional study in China. [PDF]

open access: yesHealth Qual Life Outcomes
Shen Y   +9 more
europepmc   +1 more source

Diffusion‐Weighted Imaging for the Evaluation of the Sacroiliac Joint in Pediatric Patients

open access: yesArthritis Care &Research, Accepted Article.
Background Maturational signal in the sacroiliac joint (SIJ) of skeletally immature youth is often misinterpreted as inflammation. Diagnostic tools that improve specificity are greatly needed. Apparent diffusion coefficient (ADC) values from diffusion‐weighted imaging (DWI), when used with standard imaging, may enhance diagnostic accuracy.
Michael L. Francavilla   +6 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

Home - About - Disclaimer - Privacy