On 28th November OxTalks will move to the new Halo platform and will become 'Oxford Events' (full details are available on the Staff Gateway).
There will be an OxTalks freeze beginning on Friday 14th November. This means you will need to publish any of your known events to OxTalks by then as there will be no facility to publish or edit events in that fortnight. During the freeze, all events will be migrated to the new Oxford Events site. It will still be possible to view events on OxTalks during this time.
If you have any questions, please contact halo@digital.ox.ac.uk
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.
