Predicting the Risk of Maxillary Canine Impaction Based on Maxillary Measurements Using Supervised Machine Learning.

Objectives: To predict palatally impacted maxillary canines based on maxilla measurements through supervised machine learning techniques.

Materials And Methods: The maxilla images from 138 patients were analysed to investigate intermolar width, interpremolar width, interpterygoid width, maxillary length, maxillary width, nasal cavity width and nostril width, obtained through cone beam computed tomography scans. The predictive models were built using the following machine learning algorithms: Adaboost Classifier, Decision Tree, Gradient Boosting Classifier, K-Nearest Neighbours (KNN), Logistic Regression, Multilayer Perceptron Classifier (MLP), Random Forest Classifier and Support Vector Machine (SVM).

Effect of genetic polymorphisms rs2301113 and rs2057482 in the expression of HIF-1α protein in periodontal ligament fibroblasts subjected to compressive force.

Objective: Many genes and signaling molecules are involved in orthodontic tooth movement, with mechanically and hypoxically stabilized HIF-1α having been shown to play a decisive role in periodontal ligament signaling during orthodontic tooth movement. Thus, this in vitro study aimed to investigate if genetic polymorphisms in HIF1A (Hypoxia-inducible factor α-subunits) influence the expression pattern of HIF-1α protein during simulated orthodontic compressive pressure.

Methodology: Samples from human periodontal ligament fibroblasts were used and their DNA was genotyped using real time Polymerase chain reaction for the genetic polymorphisms rs2301113 and rs2057482 in HIF1A .

Associations between Anxiety, Depression, Chronic Pain and Oral Health-Related Quality of Life, Happiness, and Polymorphisms in Adolescents' Genes.

Adolescence is marked by changes and vulnerability to the emergence of psychological problems. This study aimed to investigate associations between anxiety/depression/chronic pain and oral health-related quality of life (OHRQoL)/happiness/polymorphisms in the , and genes in Brazilian adolescents. A cross-sectional study was conducted with ninety adolescents 13 to 18 years.

Genetic polymorphisms are involved in oral health-related quality of life in skeletal class III patients submitted to orthognathic surgery.

Objective: This study aimed to evaluate whether sex and genetic polymorphisms impact the oral health-related quality of life (OHRQoL) preoperatively and the difference between preoperative and postoperative OHRQoL in skeletal Class III patients submitted to orthognathic surgery.

Materials And Methods: This longitudinal study consisted of ninety-nine patients with skeletal Class III malocclusion who required orthognathic surgery. The Oral Health Impact Profile-14 (OHIP-14) is a questionnaire used to assess the OHRQoL with a 5-point Likert-type scale, covering seven domains related to physical and psychosocial factors.

Polymorphisms in hormonal-related genes might be associated with variations in permanent tooth crown size.

Background: The variability in tooth crown size (TCS) is influenced by genetic factors and might be regulated by the difference in hormonal response.

Materials And Methods: This study aimed to evaluate the association between variations in TCS of permanent teeth with associated factors and genetic polymorphisms in hormonal-related genes (ESR1, ESR2 and PTH). This cross-sectional study involved dental casts from 86 individuals of both sexes.