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Single-Cell Computational Intelligence Uncovers Autoimmune Disease Pathogenesis
In-person only
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.
Date:
26 September 2025, 10:00
Venue:
Kennedy Institute of Rheumatology, Headington OX3 7FY
Venue Details:
Kennedy Lecture Theatre
Speaker:
Prof Fan Zhang (University of Colorado Anschutz)
Organising department:
Kennedy Institute of Rheumatology
Organiser:
Magdalena Gross
Host:
Dr Yang Luo (The Kennedy Institute of Rheumatology)
Part of:
Kennedy Institute Seminars
Booking required?:
Not required
Audience:
Members of the University only
Editor:
Magdalena Gross
