Multi-omics signatures of chronic inflammation across immune-related disease states

By integrating multi-omics deep learning with competing-risks modelling, this study decodes population-level immune-metabolic communication patterns across chronic disease states, linking shared inflammatory and proteomic signatures to long-term mortality and providing a quantitative framework to support future, mechanism-focused and immunologically informed risk stratification.