Results 201 to 210 of about 3,144,666 (363)
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
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
Evaluating in-vivo spontaneous firing rate in the brain based on neuronal noise modeling. [PDF]
Dvir H, Guo S, Kang R, Li D, Havlin S.
europepmc +1 more source
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
Singular Spectrum Analysis of Time-series Data from Time-dependent density-functional theory in Real-time [PDF]
Naoki Tani, Satoru S. Kano, Y. Zempo
openalex +1 more source
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
Integrating Network Analysis and Machine Learning Identifies Key Autism Spectrum Disorder Genes Linked to Immune Dysregulation and Therapeutic Targets. [PDF]
Wang H, Zhu X, Zhang H, Chen W.
europepmc +1 more source
Spatial pattern enhanced cellular and tissue recognition for spatial transcriptomics. [PDF]
Wang Y, Zhang Z, Li G.
europepmc +1 more source
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

