Copy Number Variants and Their Association With Intracerebral Hemorrhage Risk: A Case–Control Study
ABSTRACT Introduction Intracerebral Hemorrhage (ICH) is a leading cause of morbidity and mortality worldwide and lacks effective therapeutic interventions. Despite previous studies, the genetic underpinnings of ICH remain poorly understood. We sought to investigate the role of copy number variants (CNVs) in ICH pathophysiology to identify novel ...
Savvina Prapiadou +12 more
wiley +1 more source
The experiences of pregnant women during pregnancy, childbirth, and postpartum period about bad news: A qualitative study protocol. [PDF]
Abbasi Z, Nazari S, Mohamadirizi S.
europepmc +1 more source
The Relationship Between Inflammation and Central Nervous System in Multiple Sclerosis
ABSTRACT Aim Multiple sclerosis is an autoimmune demyelination disease that is seen especially in the young population and has a progressive course, causing motor, sensory, and cognitive deficits. In the literature, the pathogenesis of MS disease and the interconnection between the immune and central nervous system in the disease have not been fully ...
Gamze Ansen +5 more
wiley +1 more source
Comparative risk of delirium among opioid users for non-cancer pain: a retrospective cohort study. [PDF]
Medina CRR, Lunt M, Dixon WG, Jani M.
europepmc +1 more source
Air pollution in India:Questions of advocacy and ethics [PDF]
Doshi, Neelam +2 more
core +1 more source
Insights Into the Antigenic Repertoire of Unclassified Synaptic Antibodies
ABSTRACT Objective We sought to characterize the sixth most common finding in our neuroimmunological laboratory practice (tissue assay‐observed unclassified neural antibodies [UNAs]), combining protein microarray and phage immunoprecipitation sequencing (PhIP‐Seq). Methods Patient specimens (258; 133 serums; 125 CSF) meeting UNA criteria were profiled;
Michael Gilligan +22 more
wiley +1 more source
ABSTRACT Objective This study aims to identify both fluid and neuroimaging biomarkers for CSF1R‐RD that can inform the optimal timing of treatment administration to maximize therapeutic benefit, while also providing sensitive quantitative measurements to monitor disease progression.
Tomasz Chmiela +13 more
wiley +1 more source
Expression of concern: "GBERT: A hybrid deep learning model based on GPT-BERT for fake news detection" [Heliyon 10 (2024) e35865]. [PDF]
europepmc +1 more source
The predictive performance of NEWS, MEWS, SOFA and SAPS II in outcomes of bacteremic and non-bacteremic sepsis. [PDF]
Talkar MA +7 more
europepmc +1 more source

