Recent advances in genomics have significantly impacted research into dental diseases, revealing intricate genetic factors that influence oral health. With the ability to analyze genetic information from readily available sources like saliva, researchers can now identify genetic markers predisposing individuals to specific dental pathologies. This integration of genomic insights into routine dental care heralds a new era in diagnostics and personalized treatment strategies. Enhanced by genome-wide association studies (GWAS), which map genetic variations to specific health outcomes, and supported by public genomic databases such as the Sequence Read Archive, the field is poised for transformative developments. Alongside, multi-omics approaches (which synthesize data from genomics, epigenomics, transcriptomics, proteomics, and metabolomics) provide a comprehensive molecular snapshot, offering deeper insights into disease mechanisms and progression.

This Research Topic is dedicated to exploring how the fusion of genomics and advanced imaging technologies can be optimized to revolutionize diagnostic and therapeutic methodologies in dentistry. It focuses not only on refining diagnostic accuracy but also on shaping preventative and therapeutic interventions that are tailored to individual genetic profiles. Significant emphasis is placed on the ability of novel imaging techniques, like Cone Beam Computed Tomography (CBCT) and Magnetic Resonance Imaging (MRI), to work in tandem with genomic data, offering a layered understanding of oral health at a personalized level.

The scope of this Research Topic encompasses a diverse array of investigative areas, and contributions are invited on topics including but not limited to:

• Genomic insights into dental disease diagnosis and identification of genetic variants linked to oral cancer.
• Role of genetic markers and SNPs in predicting the risk of oral diseases.
• Tailored diagnostic approaches for genetic dental disorders and the integration of epigenetic data.
• Techniques for mandibular nerve and molar segmentation using advanced imaging modalities.
• Applications of AI for image segmentation in dental implant planning and orthodontic treatments.
• Use of CBCT-driven segmentation for detailed anatomical assessments.
• Multi-omics techniques for comprehensive oral health analysis.
• Development of AI-driven tools for analyzing combined genomic and imaging data in clinical dentistry.
• Role of dental AI chatbots in enhancing oral hygiene and initial diagnosis.

This collection seeks to gather and synthesize the latest research that leverages these technological advances, aiming to propel the field of dentistry into a new epoch of precision medicine.

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Advances in Multi-Omics and Imaging for Precision Dentistry