Results 211 to 220 of about 210,230 (307)

Non‐RASopathy Genetic Syndromes Identified as the Molecular Cause of Disease in Patients Previously Diagnosed With Noonan Syndrome

open access: yesAmerican Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Noonan Syndrome (NS) is a clinically and genetically heterogeneous condition characterized by typical facial dysmorphisms, short stature, congenital heart defects, and developmental delays. While variants in genes such as PTPN11, SOS1, and RAF1 account for most genetically confirmed cases, diagnosis is challenging due to phenotypic overlap ...
Gabriela Jeesoo Kim   +9 more
wiley   +1 more source

Electrical Stimulation of Trigeminal Nerve at the Anterior Nasal Septum in Healthy Individuals and Patients With Olfactory Dysfunction

open access: yesInternational Forum of Allergy &Rhinology, EarlyView.
ABSTRACT Background The intranasal trigeminal system contributes to the sense of smell. Its integrity in olfactory dysfunction (OD) may be crucial for future treatments. This study assessed trigeminal sensitivity in healthy individuals and patients with OD of different etiologies using electrical stimulation of the nasal mucosa.
Konstantinos Garefis   +12 more
wiley   +1 more source

Complications in Endoscopic Sinus Surgery: A TriNetX Network Analysis

open access: yesInternational Forum of Allergy &Rhinology, EarlyView.
Abstract Background The potential complications of endoscopic sinus surgery (ESS) remain a critical surgical consideration. This study aims to examine complication rates and identify trends in ESS‐related complications. Methods The TriNetX network was queried for patients undergoing ESS between 2005 and 2024.
Jakob L. Fischer   +8 more
wiley   +1 more source

Machine Learning‐Enhanced Clinical Decision Support for Diagnosing Sinusitis With Nasal Endoscopy

open access: yesInternational Forum of Allergy &Rhinology, EarlyView.
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

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