Results 241 to 250 of about 603,509 (350)
A Novel Missense Variant in LMX1A Leads to Autosomal Dominant Nonsyndromic Hearing Loss
ABSTRACT Hereditary nonsyndromic hearing loss (NSHL) is a prevalent entity associated with over 150 known causative genes, including LMX1A, which has fewer than 10 reported pathogenic variants. Here we present a novel missense variant in LMX1A in a family of European descent with hereditary hearing loss. Clinical and family histories were obtained, and
Ryan Chen +3 more
wiley +1 more source
Salivary small extracellular vesicles reveal protein signatures in young patients with coronary artery disease. [PDF]
Sharma P +4 more
europepmc +1 more source
ABSTRACT Patients with Turner Syndrome (TS) and those exposed to high concentrations of glucocorticoids have a number of characteristics in common, including an increased risk of cardiovascular disease. Pediatric TS patients underwent studies of salivary cortisol (SC) and cortisone (SCn), body composition, continuous glucose monitoring, vascular ...
Lily Jones +6 more
wiley +1 more source
Evaluation of Factors Impacting Nicotine Permeation in Oral Nicotine Pouch Products. [PDF]
Li XS, Sriram A, Zhuang SM, Aldeek F.
europepmc +1 more source
Studies on the Antibacterial Action of Human Saliva [PDF]
Bernard J. Zeldow
openalex +1 more source
ABSTRACT This study explores youth violence towards police officers in Australia through the Power Threat Meaning Framework (PTMF) to better understand the underlying factors contributing to such violence; focusing on power dynamics, childhood adversity, and trauma.
Dimitra Lattas +4 more
wiley +1 more source
Tick saliva protein fraction inhibits breast cancer by decreasing cell viability and promoting apoptosis in vitro. [PDF]
Prado Sousa AC +5 more
europepmc +1 more source
Machine Learning‐Enhanced Clinical Decision Support for Diagnosing Sinusitis With Nasal Endoscopy
ABSTRACT Background Sinusitis is a prevalent disease for which nasal endoscopy (NE) is an optimal diagnostic modality. However, NE accuracy is limited by inter‐operator variability in landmark identification and localization of mucus that is necessary for sinusitis diagnosis. We sought to develop a novel multi‐class machine learning (ML) framework that
Dipesh Gyawali +12 more
wiley +1 more source

