We run two complementary spaces — a Computer Lab and a Bioscience Lab — to build interpretable, clinically useful models for cardiovascular health. Our flagship project is CardioFlowFormer, a spatiotemporal framework for motion phenotyping and early risk detection.
Transformer-based spatiotemporal model that fuses motion fields, morphology, and temporal contraction metrics to detect ageing- and damage-related cardiomyocyte dysfunction early.
frame-to-frame motion entropy changes
Founder, Cardio AI Lab. Research: spatiotemporal modelling, survival analysis, fair & interpretable AI for CVD.
Email: m.sufian@uel.ac.uk
Bioscience Lab (UEL), clinical partners, and external collaborators across imaging and biostatistics.
We welcome collaboration on datasets, clinical validation, and tooling. Email m.sufian@uel.ac.uk.