Results 111 to 120 of about 204,571 (299)
Background Deafness is a highly heterogenous disorder with over 100 genes known to underlie human non-syndromic hearing impairment. However, many more remain undiscovered, particularly those involved in the most common form of deafness: adult-onset ...
Morag A. Lewis +7 more
doaj +1 more source
Hospital Admission Profile Related to Inner Ear Diseases in England and Wales. [PDF]
Taybeh EO, Naser AY.
europepmc +1 more source
Abstract This study employs a schizocartographic approach to explore community narratives of space, memory, and violence in Kraaifontein, Cape Town. Through participants' accounts, ordinary places—gardens, shops, blocks, sports grounds, and streets—emerge as ambivalent geographies where trauma, resilience, and belonging intersect.
Guido Veronese +2 more
wiley +1 more source
The epidemiology of canine ear diseases in Northwest China: Analysis of data on 221 dogs from 2012 to 2016. [PDF]
Li JP, Li LY, T FL, Lu DZ.
europepmc +1 more source
Image-Based Artificial Intelligence Technology for Diagnosing Middle Ear Diseases: A Systematic Review. [PDF]
Song D, Kim T, Lee Y, Kim J.
europepmc +1 more source
Phenotype Expansion of Malan Syndrome: New Cases and a Review of the Literature
ABSTRACT Malan syndrome is an ultra‐rare overgrowth syndrome caused by pathogenic variants or deletions in nuclear factor one X (NFIX) located at 19p13.2. Here, we report a comprehensive literature review and phenotyping of known patients with Malan syndrome and present a novel cohort of eight patients.
Alex F. Nisbet +10 more
wiley +1 more source
ABSTRACT Since 2015, Ann and Robert H. Lurie Children's Hospital has performed diagnostic testing for infants who screen positive for mucopolysaccharidosis type II (MPS II) on the Illinois newborn screen. Preliminary diagnostic testing includes measurement of plasma iduronate‐2‐sulfatase enzyme activity and urinary glycosaminoglycan analysis, followed ...
Carly A. Rasmussen +5 more
wiley +1 more source
In this study, we propose a method of classification for tympanic membrane diseases and regression of pediatric hearing, using a deep learning model of artificial neural networks.
Hongchang Lee +3 more
doaj +1 more source

