Applications in Healthcare, Medical Imaging, and Medtech

Queen Mary University of London, hosts one of the largest bioengineering groups in the UK with a long standing track record of world-leading, high impact research and including expertise in AI, computational modelling and medtech. In the latest UK Research Excellence Framework (REF 2021), engineering, of which bioengineering is a major part, was ranked 2^nd in the UK for the quality of our research output.

Examples of QM staff working in this field:

• Dr Caroline Roney holds a UKRI future Leaders Fellowship and is a bioengineer working in computational medicine, machine learning, digital twins, and cardiovascular image processing.
• Prof Zion Tse is a Professor of Robotics and head of the Centre of Bioengineering. His research involves digital health, smart wearables, AI for medical imaging, and computer-aided diagnostics.
• Prof Akram Alomainy is an electrical engineer specialising in electromagnetic-based wearable medtech devices and medical sensors. He uses machine learning-enhanced acquisition and analysis solutions for a variety of healthcare applications associated with imaging and monitoring.

Research Centre:
Centre for Bioengineering