Omics medicine: what the clinicians should know

Area of Science:

• Biomedical research and clinical diagnostics

Background:

• Omics technologies generate comprehensive molecular data for characterizing diseases.
• Genomic, transcriptomic, proteomic, metabolomic, single-cell, and spatial omics are key approaches.
• These methods are crucial for biomarker discovery, early diagnosis, and patient stratification.

Purpose of the Study:

• To review the clinical applications of omics technologies.
• To discuss guidelines for implementing omics in routine clinical practice.
• To highlight the potential of multi-omics integration with AI for precision medicine.

Main Methods:

• Review of current omics technologies and their applications.
• Analysis of multi-omics integration strategies.
• Examination of clinical trial data and existing guidelines.

Main Results:

• Omics technologies significantly enhance biomarker discovery, diagnosis, and treatment selection.
• Multi-omics integration with AI shows promise for predicting treatment responses and personalizing medicine.
• Clinical trials validate the translational value of omics in various diseases.

Conclusions:

• Omics technologies offer substantial potential for clinical practice and precision medicine.
• Addressing challenges in data complexity, cost, and standardization is vital for wider adoption.
• Ongoing efforts aim to integrate omics data and guidelines into routine healthcare.