The emergence of digital twins in genomics represents a transformative paradigm shift in personalized and predictive medicine . By constructing highly detailed virtual replicas of an individual’s genetic, epigenetic, metabolic, and physiological characteristics, these platforms enable precise simulation of disease progression, therapeutic responses, and preventive interventions. Multi-omics integration —including whole-genome sequencing , transcriptomics , proteomics , metabolomics , and microbiome data —provides a holistic view of human biology, surpassing traditional clinical assessments. By combining these layers of biological information, researchers can uncover biomarkers , understand individual disease risks, and guide personalized treatments with greater accuracy, enhancing the foundation for precision medicine . Digital twins bridge molecular biology, computational science, and clinical practice, allowing dynamic modeling of gene-environment interactions...