The future of biomarker discovery is promising, with continued advancements in artificial intelligence (AI) and machine learning (ML) algorithms poised to further accelerate the process. These technologies can mine vast datasets to uncover patterns and correlations that would be impossible to detect manually. Additionally, the integration of multi-omics data will provide a more comprehensive understanding of disease mechanisms, leading to the discovery of more robust and reliable biomarkers.
