The integration of artificial intelligence (AI) with human genomics is transforming precision medicine . Advanced machine learning and deep learning frameworks now allow researchers to analyze vast and complex genomic datasets, revealing intricate molecular patterns that were previously undetectable. These insights empower the development of highly personalized therapeutic strategies, precisely tailored to each patient’s unique genetic and molecular profile. Modern AI algorithms facilitate the interpretation of high-dimensional genomic data, including single-nucleotide polymorphisms (SNPs), copy number variations, and rare mutations in key human genes such as BRCA1 , TP53 , and APOE . AI-driven predictive modeling helps researchers assess variant pathogenicity, understand effects on protein function and cellular pathways, and anticipate disease trajectories, providing a solid basis for personalized prevention and therapeutic strategies. AI-driven genomic analysis also enables...