RCSV and SO Joint Research Forum - "Data-driven understanding of personalized medicine"

Human diseases often have complex etiologies, necessitating the study of precision medicine for effective therapeutics. Cohort studies are crucial for understanding phenotype variation and disease mechanisms. We present examples of human cohort studies on human-bacteria interactions, examining immune, metabolic, and mental health phenotypes in both healthy and diseased states. These studies integrate metagenomic, transcriptomic, and metabolomic data to reveal the microbiome's impact on health. Additionally, we introduce an innovative organoid system for mechanistic validation of cohort study findings, offering an advanced alternative to animal models. This approach demonstrates how big data and bioinformatics are driving precision medicine, enhancing diagnosis and intervention strategies. Our work aims to improve personalized medicine by leveraging multiomics data and advanced experimental models for more tailored treatments.