This session will examine how big data analytics and bioinformatics are transforming translational medicine by enabling the integration and interpretation of complex biological and clinical datasets. Speakers will discuss cutting-edge approaches to analyze genomic, proteomic, and multi-omics data, as well as electronic health records and real-world evidence. The session will showcase how data-driven insights are accelerating biomarker discovery, patient stratification, personalized therapies, and predictive modeling for disease prevention and treatment. Challenges related to data standardization, interoperability, ethical considerations, and AI-driven pipelines will also be addressed.