Results 201 to 210 of about 3,144,666 (363)

A Comprehensive Overview of the Clinical, Electrophysiological, and Neuroimaging Features of BPAN: Insights From a New Case Series

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Neurodegeneration with brain iron accumulation (NBIA) comprises a genetically and clinically heterogeneous group of rare neurological disorders characterized particularly by iron accumulation in the basal ganglia. To date, 15 genes have been associated with NBIA.
Seda Susgun   +95 more
wiley   +1 more source

Clinical Characteristics and Outcomes of Early‐Onset Versus Late‐Onset LGI1‐Antibody Encephalitis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Leucine‐rich glioma‐inactivated 1 antibody (LGI1‐Ab) encephalitis predominantly affected older individuals, but has also been reported in younger patients. However, the demographic, clinical, and prognostic characteristics of early‐onset LGI1‐Ab encephalitis have yet to be systematically elucidated. This study aims to systematically
Yu Kong   +7 more
wiley   +1 more source

Association of Higher Levels of High‐Sensitivity C‐Reactive Protein With Future Development of Psoriatic Arthritis in Psoriasis: A Prospective Cohort Study

open access: yesArthritis Care &Research, EarlyView.
Objective We aimed to assess whether high‐sensitivity C‐reactive protein (hsCRP) levels could predict the development of psoriatic arthritis (PsA) in patients with psoriasis. Methods We analyzed data from a prospective cohort of patients with psoriasis without PsA at enrollment.
Lihi Eder   +5 more
wiley   +1 more source

Cancer Risk in Patients With Systemic Sclerosis: A Nationwide Cohort Study in South Korea 2004 to 2021

open access: yesArthritis Care &Research, EarlyView.
Objective Systemic sclerosis (SSc) is a rare autoimmune disease characterized by tissue fibrosis, vasculopathy, and immune dysregulation. Our objectives were to quantify the overall and site‐specific cancer risks in patients with SSc compared to the general population, examine temporal trends in cancer incidence following SSc diagnosis, and explore ...
Jihyun Na   +4 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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