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Identification of GBN5 as a molecular biomarker of pan-cancer species by integrated multi-omics analysis.
Discov Oncol
January 2025
Second Department of Oncology, The Second Hospital of Hebei Medical University, Shijiazhuang, 050000, Hebei, China.
Introduction: We conducted a panoramic analysis of GBN5 expression and prognosis in 33 cancers, aiming to deepen the systematic understanding of GBN5 in cancer.
Materials And Methods: We employed a multi-omics approach, including transcriptomic, genomic, proteomic, single-cell cytomic, spatial transcriptomic, and genomic data, to explore the prognostic value and potential oncogenic mechanisms of GBN5 across pan-cancers from multiple perspectives.
Results: We found that GBN5 was differentially expressed in multiple tumors and showed early diagnostic value.
Deep Learning for Age Estimation from Panoramic Radiographs: A Systematic Review and Meta-Analysis.
J Dent
January 2025
Topic Group Dental Diagnostics and Digital Dentistry, ITU/WHO Focus Group AI on Health, Berlin, Germany; Clinic for Operative Dentistry and Periodontology, LMU Klinikum, Munich, Germany.
Introduction: Panoramic radiographs are widely used for age estimation in clinical and forensic domains. Conventionally, age estimation uses humans assessing tooth development and deducing the expected age from that. Deep learning may improve or substitute this traditional approach and allow age estimation at scale in routine settings.
View Article and Find Full Text PDFComparison of the mesiodistal angulation of maxillary canines based on their impaction sector in panoramic radiographs: A cross-sectional study.
Int Orthod
January 2025
Division of Orthodontics, School of Dentistry, Universidad Científica del Sur, Lima, Peru. Electronic address:
Introduction: The complexity of treating impacted maxillary canines varies based on their angulation and position within the dental arch. The aim of this research was to compare the mesiodistal angulation of maxillary canines according to their impaction sector.
Methods: This cross-sectional study evaluated 229 impacted maxillary canines in 171 panoramic radiographs from two private radiology centres in Uruguay and Chile of individuals of both sexes aged 11 years and older with impacted maxillary canines.
Artificial Intelligence for Tooth Detection in Cleft Lip and Palate Patients.
Diagnostics (Basel)
December 2024
Department of Orthodontics, Faculty of Dentistry, Yeditepe University, Istanbul 34728, Turkey.
Cleft lip and palate patients often present with unique anatomical challenges, making dental anomaly detection and numbering particularly complex. The accurate identification of teeth in these patients is crucial for effective treatment planning and long-term management. Artificial intelligence (AI) has emerged as a promising tool for enhancing diagnostic precision, yet its application in this specific patient population remains underexplored.
View Article and Find Full Text PDFGiant odontoma: A systematic scoping review and case report.
Int J Surg Case Rep
January 2025
Department of Oral and Maxillofacial Surgery, School of Dentistry, Azad University of Medical Sciences, Shiraz, Iran.
Introduction And Importance: The most common type of odontogenic tumor is odontoma. Cases with at least one dimension (sagittal, axial, or coronal) ≥30 mm were categorized as giant odontomas. This study aimed to provide a scoping review of giant odontoma and present a case report.
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