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ABSTRACT: Introduction and aims: Oral squamous cell carcinoma (OSCC) is a common malignant tumour of the head and neck region. In recent years, the relationship between pyroptosis and tumours has received increasing att...

Objectives: To investigate the monotonic and fatigue strength of 3D-printed 5 mol% yttria partially stabilized zirconia (5Y-PSZ) and the influences of printing layer orientation and finishing protocol. Methods: Bar-shape...

Introduction and aims: Interleukin (IL)-38 has been identified as an anti-inflammatory cytokine; however, its specific role in temporomandibular joint (TMJ) synovial inflammation and the identity of its functional recept...

ABSTRACT: Background: Lip and oral cavity cancer (LOCC) remains a significant issue in Europe, with an uneven public health burden. While trends have shifted, regional and sex-specific disparities persist due to modifia...

In the search for new compounds for the treatment of Chagas disease, the cysteine protease cruzipain remains as one of the most attractive biomolecular targets for drug development. Thiosemicarbazones (TSCs) have been id...

Background: Accurate prediction of facial aesthetics after orthodontic treatment is crucial for clinical planning, yet traditional methodologies often lack the required accuracy and realism. We introduce a novel generati...

ABSTRACT: Introduction and aim: This systematic review aimed to evaluate the long-term stability of patient-specific implants (PSIs) in orthognathic surgery. Methods: The review was conducted based on the Preferred Repo...

ABSTRACT: Introduction and aims: To provide the research progress on the cGAS-STING signalling pathway and its related roles in various oral diseases. Methods: We reviewed the recent research on cGAS-STING in PubMed. Th...

Objectives: By establishing a rat model of periapical infection, this study compared the anti‑inflammatory effects of caerin 1.1/1.9 hydrogel and calcium hydroxide paste, aiming to provide a novel therapeutic strategy ...

Objectives: This study aimed to develop an automated deep learning (DL) system to detect and classify second molar (M2) pathologies associated with impacted third molars (ITMs) on panoramic radiographs. We sought to enha...

Introduction and Aims: Mandibular movement is a complex physiological process essential for orofacial function. Patients with disc displacement without reduction (DDWoR) exhibit significant kinematic impairments, which a...

Introduction and aims: Submucous cleft palate (SMCP) is a congenital craniofacial malformation. While TBX22 is a known pathogenic gene, the potential role of TBX15 in SMCP remains unclear. This study aimed to investigate...

ABSTRACT: Introduction: The links between oral health and female ageing are poorly understood, but many changes occur in the oral cavity of menopausal women that affect quality of life, and few current oral health inter...

Introduction: Computer-aided design and computer-aided manufacturing (CAD/CAM) have transformed modern dentistry, yet evidence from the Caribbean remains limited. Objective: To assess CAD/CAM adoption among dentists in t...

Introduction: The advancement of AI-assisted oral disease diagnosis critically relies on the availability of annotated, high-quality datasets and resilient deep learning architectures. Nevertheless, progress in this doma...

Objectives: Survival rates in patients with oral squamous cell carcinoma (OSCC) have failed to improve greatly over time, and novel biomarkers are urgently needed. Therefore, the aim was to evaluate the predictive abilit...

Objectives: This study utilized dual control groups, caries patients (a representative bacterial infectious disease) and healthy individuals, to identify the core microbiome specific to dental fluorosis and elucidate the...

Objectives: To analyse the relationship between oral frailty (OF) and cognitive impairment in older adults and explore the association between OF and different domains of cognitive function. Methods: A total of 461 commu...

This study aimed to evaluate the performance of deep learning models for segmenting the augmented bone following transalveolar sinus floor elevation (TSFE). Cone-beam computed tomography (CBCT) data from 103 patients und...

Objectives: Deep learning networks have achieved significant progress in caries diagnosis, but automated localization and numbering of carious teeth in cone-beam computed tomography (CBCT) images remain underexplored. Th...

Background: Conventional glass ionomer cement (GIC) is widely used as a restorative base and liner owing to its chemical adhesion to dentine, fluoride release, and favourable biocompatibility. Nevertheless, its intrinsic...

Introduction and aims: To investigate the differences in palatal bone thickness among adult patients with different sagittal skeletal patterns using Cone-Beam Computed Tomography (CBCT), and to analyse the safe regions f...