• Bone cell on biomaterial surface
  • Organ-chip device
  • Confocal image of actin cytoskeleton
  • Cardiac modelling using AI

Welcome to The Centre for Bioengineering

Queen Mary has a long track record of outstanding bioengineering and biomaterials research dating back to the EPSRC funded Interdisciplinary Research Centre in Biomedical Materials. We are dedicated to Engineering Better Medicine for a brighter and healthier future. At the heart of our mission lies the unyielding commitment to advancing the boundaries of science and engineering by delivering cutting-edge biomedical engineering solutions. We foster collaboration among world-class researchers and external partners.

Events

News

Recent Publications

  • Neuromodulation of a peripheral nerve using fully polymeric cuff electrodes: understanding predictability of selective stimulation
    Bailey ZK Nairac Z Cuttaz EA M’Rad IB Chapman CAR Rapeaux A Goding JA Roche AD et al.
    Journal of Neural Engineering, Iop Publishing vol. 23 (1) 
    01-02-2026
  • Deep learning models to map osteocyte networks from confocal microscopy can successfully distinguish between young and aged bone
    Vetter SD Schurman CA Alliston T Slabaugh G Verbruggen SW
    Plos Computational Biology, Public Library of Science (Plos) vol. 22 (1) 
    27-01-2026
  • Real-time high-throughput characterisation of the surface elasticity of suspended cells
    Guo Z Sui Y Wang W
    Lab on a Chip, Royal Society of Chemistry (Rsc) vol. 26 (8), 2514-2530.  
    01-01-2026

View more publications »

Recent Grants

  • (SEASIDE) (resubmission) - MSCA PF 2025 - Sui/ Lu
    Yi Sui
    £205,111 EU Commission - Horizon Europe
    01-10-2026 - 30-09-2028
  • Advanced AI for Multi-modal Spatial Biology
    James Chapple, Greg Slabaugh, Saqib Shamim, Cleo Bishop, Jun Wang, Francesca Ciccarelli, Stuart McDonald, Ines Sequeira, James Timmons, David Leslie, Cedric John, Ahmed M. A. Sayed, Himadri Gupta, Zion Tse and Ginestra Bianconi
    £3,066,246 Biotechnology and Biological Sciences Research Council
    01-10-2026 - 30-09-2032
  • Predicting miscarriage and identifying maternal risk factors with machine learning methods and artificial intelligence
    Tina Chowdhury and Greg Slabaugh
    £49,615 Tommy's
    01-10-2026 - 30-09-2029

View more grants »