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Genomics

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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...

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Updated: Jun 10, 2025

An Analytical Tool-box for Comprehensive Biochemical, Structural and Transcriptome Evaluation of Oral Biofilms Mediated by Mutans Streptococci

An Analytical Tool-box for Comprehensive Biochemical, Structural and Transcriptome Evaluation of Oral Biofilms Mediated by Mutans Streptococci

Published on: January 25, 2011

Image-based multi-omics analysis for oral science: Recent progress and perspectives.

Yizhuo Chen¹, Pengxi Du¹, Yinyin Zhang¹

¹Department of Stomatology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.

Journal of Dentistry

|October 20, 2024

Summary

This summary is machine-generated.

Deep learning-enhanced multi-omics analysis, including radiomics and pathomics, improves oral disease diagnosis. This approach offers more representative features than traditional methods, aiding clinicians in diagnosis and treatment.

Keywords:

Deep learning Diagnosis Imaging Omics Pathomics Radiomics Stomatology

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Area of Science:

Oral and maxillofacial medicine
Dental science
Medical imaging

Background:

Oral disease diagnosis relies on medical imaging.
Deep learning can extract superior features from multi-omics data.
Traditional methods have limitations in feature extraction.

Purpose of the Study:

Review applications and advances in image-based multi-omics analysis in oral science.
Highlight potential to enhance traditional oral disease diagnostic approaches.
Discuss radiomics, pathomics, and photographic-based omics analysis.

Main Methods:

Systematic literature search of PubMed, Web of Science, and Google Scholar.
Comprehensive examination and summarization of advances in image-based multi-omics.
Focus on oral and maxillofacial medicine applications.

Main Results:

Summarizes recent advancements in image-based multi-omics for oral science.
Includes radiomics, pathomics, and photographic-based omics.
Identifies challenges and future perspectives.

Conclusions:

Image-based multi-omics analysis shows potential in stomatology.
Combining omics with imaging improves diagnostic accuracy and efficiency.
Aids clinicians in diagnosis, treatment, resource management, and knowledge dissemination.