The future of omics in epidemiology looks promising with ongoing advancements in technology and data analytics. Integrating artificial intelligence and machine learning with omics data analysis can enhance pattern recognition and predictive modeling. Additionally, the development of more cost-effective and high-throughput omics technologies will make these approaches more accessible, further driving their application in epidemiology to improve public health outcomes.
