Traditional diagnostic methods often focus on single biomarkers, which may not provide a complete picture of a disease. By integrating multi-omics data, clinicians can identify complex biomarker signatures that improve the accuracy of diagnoses. For instance, combining [genomic](#) and [proteomic](#) data can help identify unique molecular signatures of rare genetic disorders, leading to earlier and more accurate diagnoses.
