Oxford Events, the new replacement for OxTalks, will launch on 16th March. From now until the launch of Oxford Events, new events cannot be published or edited on OxTalks while all existing records are migrated to the new platform. The existing OxTalks site will remain available to view during this period.
From 16th, Oxford Events will launch on a new website: events.ox.ac.uk, and event submissions will resume. You will need a Halo login to submit events. Full details are available on the Staff Gateway.
Single-cell technologies generate high-dimensional data that reveal immune heterogeneity, yet linking cellular alterations to disease outcomes remains challenging due to data complexity and limited model interpretability. To address this, we developed computational approaches, including an explainable AI framework to identify cell-specific drivers of clinical outcomes. We also designed a single-cell longitudinal simulator with methods to detect temporal dynamics and disease interaction effects. Applying these approaches to autoimmune disease, with rheumatoid arthritis as an example, we uncovered circulating immune phenotypes and predictive signatures of disease onset, highlighting the potential of interpretable modelling for biomarker discovery and disease prevention.