Results 151 to 160 of about 8,274,547 (275)

Craniofacial Morphology and Dental Age Assessment in Pediatric Craniosynostosis: A Comparative Cross‐Sectional Study

open access: yesClinical and Experimental Dental Research, Volume 12, Issue 5, October 2026.
ABSTRACT Objectives To delineate the craniofacial morphometric characteristics of Thai children with syndromic (SC) and non‐syndromic craniosynostosis (NSC) and to assess dental maturation relative to Chronological Age (CA). Methods This comparative cross‐sectional study evaluated 19 patients (SC: n = 13; NSC: n = 6; mean age 9.32 ± 2.67 years ...
Nutthakarn Ratanasereeprasert   +7 more
wiley   +1 more source

Machine Learning Prediction of Anterior Open‐Bite Development After Stabilization Splint Treatment in Temporomandibular Disorder

open access: yesClinical and Experimental Dental Research, Volume 12, Issue 5, October 2026.
ABSTRACT Objectives To develop interpretable machine learning (ML) models for risk stratification of clinically meaningful anterior overbite decrease after stabilization splint therapy in temporomandibular disorder (TMD) patients, and to compare ML performance with conventional logistic regression.
Jae Joon Hwang   +5 more
wiley   +1 more source

The association between oral health clusters and oral health‐related quality of life: A population‑based study of 5‑yr‑old children

open access: yesEuropean Journal of Oral Sciences, Volume 134, Issue 5, October 2026.
Abstract This study aimed to describe oral health clusters that combine dental conditions and perceived oral health and to examine the association of oral health indicators and their clusters with oral health‐related quality of life (OHRQoL) in 5‐yr‐old children.
Pedro Henrique Duarte França de Castro   +2 more
wiley   +1 more source

Machine Learning‐Based Model for Predicting Short‐ and Long‐Term Growth in Untreated Class III Malocclusion

open access: yesOrthodontics &Craniofacial Research, Volume 29, Issue 5, Page 954-962, October 2026.
ABSTRACT Objective To develop a Machine Learning‐based model to predict growth of Caucasian subjects with untreated Class III malocclusion in the short‐ and long‐term. Materials and Methods A longitudinal sample of 144 Caucasian subjects with untreated Class III malocclusion was selected (80% training data; 20% test data).
Maria Denisa Statie   +8 more
wiley   +1 more source

Novel TCOF1 Frameshift Variant and Phenotypic Heterogeneity in a Chinese Family With Treacher Collins Syndrome

open access: yesMolecular Genetics &Genomic Medicine, Volume 14, Issue 9, September 2026.
Using whole‐exome sequencing, we identified a novel TCOF1 frameshift variant (c.1601_1602delCC, p.Pro534Leufs*15) in a Chinese family with Treacher Collins syndrome. The variant produces a severely truncated Treacle protein lacking key functional domains.
Feiyang Fan   +3 more
wiley   +1 more source

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