LITH: A Lightweight Behavioral Anomaly-to-Hunt-Lead Framework for IoT Sensor Ecosystems. [PDF]
Bamashmoos F, Khairullah E.
europepmc +1 more source
ABSTRACT Objective To evaluate the diagnostic accuracy of glial fibrillary acidic protein (GFAP) measured in dried plasma spots versus conventional plasma‐ and serum‐GFAP testing for assessment of disease severity in aquaporin‐4 immunoglobulin G–positive neuromyelitis optica spectrum disorder (AQP4‐IgG+ NMOSD).
Felix Wohlrab +19 more
wiley +1 more source
Machine Learning to Prioritize High-Severity Patient Safety Events for Institutional Investigation: Algorithm Development and Validation Study. [PDF]
Chen H +4 more
europepmc +1 more source
ABSTRACT Background We aimed to identify the proportion of individuals with a confirmed diagnosis of childhood absence epilepsy (CAE) or juvenile absence epilepsy (JAE) who show a negative routine EEG (rEEG), and to determine the main factors associated with this finding.
Francesco Fortunato +7 more
wiley +1 more source
Endothelial Cell Proteins as Biomarkers in Susac Syndrome
ABSTRACT Objective Susac syndrome (SS) is a rare CD8+ T cell–mediated microangiopathy affecting the brain, retina, and auditory labyrinth. Endothelial injury is thought to be a central mechanism; however, no circulating disease biomarkers are known. We performed targeted proteomic profiling to identify circulating endothelial‐associated proteins as ...
Rohit Benjamin +11 more
wiley +1 more source
CDELDA: A Content-Based Dual-Encoder for Cold-Start lncRNA-Disease Association Prediction. [PDF]
Kim S, Yun T, Ha J.
europepmc +1 more source
Inebilizumab in AQP4‐Seropositive NMOSD: One‐Year Follow‐Up From a Multicenter, Real‐World Study
ABSTRACT Objective Real‐world evidence on inebilizumab among neuromyelitis optica spectrum disorder (NMOSD) patients is lacking. This study assessed inebilizumab among Chinese patients with aquaporin 4 autoantibody (AQP4‐IgG)‐seropositive NMOSD in a real‐world setting.
Mengcui Gui +10 more
wiley +1 more source
Attentive interpretable tabular learning (TabNet) for miRNA expression classification in cervical cancer and Alzheimer's disease. [PDF]
Haznedar H +2 more
europepmc +1 more source
A Prediction Model for Heart Failure with Improved Ejection Fraction Phenotype Based on Electrocardiogram Images and Clinical Baseline Features. [PDF]
Wei X +7 more
europepmc +1 more source
Peptidomics and Computational Docking Prioritize Candidate Peptide-Protein Associations Relevant to Upper-Gastrointestinal Biology in a Fermented Soy-Derived Postbiotic. [PDF]
Tremblay A +5 more
europepmc +1 more source

