Integration of multi-omics technologies and genomics is accelerating discoveries across health and agriculture. Studies reveal key genes implicated in colorectal cancer risk via integrated molecular analyses and demonstrate improved preterm birth prediction accuracy using AI-driven multi-omics data fusion. Agricultural research uncovers genetic diversity in crops like Chinese cherries and common bean varieties, while exploration of gene-diet interactions elucidates mechanisms influencing circadian rhythms. These advances highlight the power of multi-disciplinary approaches to decode complex biological systems.