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By integrating genetic data with insights from other omics technologies—such as proteomics, transcriptomics, and epigenomics—medical geneticists can provide a more comprehensive view of an. Today, advancements in artificial intelligence (ai) and machine learning (ml) have significantly enhanced our ability to systematically analyze massive datasets, identifying complex relationships across genomic, proteomic, transcriptomic, metabolomic and other data simultaneously. By 2025, multiomics—integrating genomics, proteomics, and more—will revolutionize precision medicine, enabling personalized treatments and advancing disease detection

Together, these layers provide a comprehensive view of biological systems, allowing for a deeper understanding of disease mechanisms and therapeutic opportunities [2].

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