Immune BioGraphy: A tale of graphical approaches in systems and virtual immunology (opens in new tab)

Graph-based machine learning offers a unifying, interpretable framework to model the immune system’s multiscale complexity. By integrating multimodal data and embedding biological priors, Graph ML enables mechanistic tracing of perturbations from molecular events to systemic outcomes. Coupled with knowledge graphs and language models, it lays the foundation for virtual cells and in silico immunology, advancing predictive, simulation-driven discovery while addressing challenges of interpretabi...