Imaging & Engineering for Health
Sheffield Biomedical Research Centre drives technology-led clinical research from world-leading innovative approaches in Imaging, Predictive Computational Modelling, Smart Devices/Sensor Engineering and Advanced Manufacturing Engineering. We collaborate locally with industrial partners, providing transformative approaches that optimise and maximise the use of available medical technologies and digital-data, whilst reducing the cost of expensive diagnostics and interventions with innovative device-design, data-linkage, digital-twins and modelling.
Our Imaging and Engineering for Health Theme uses a population-driven data-centric approach across South Yorkshire to understand variations in disease prevalence. We work with our EDI programme to develop innovative strategies that reduce avoidable morbidity and mortality. Our data will drive the science, thereby delivering research that has high relevance to patient health and the healthcare system. The technologies we develop will enable AI to make new discoveries and will also ensure privacy and empower patient control over data through innovative approaches. Our research focuses on the most cost-effective technologies relevant to diseases with high burden.
Over the next 5 years, we aim to:
Develop novel, more accurate, non-invasive diagnostics for a wide range of common diseases
Produce clinical trial tools, allowing new treatments to be tested more rapidly and cheaply
Generate personalised treatment to patients who most benefit, reducing cost and avoiding ineffective therapy
Develop AI-methods to rapidly extract more information from routinely collected data, adding value to existing diagnostics
Analyse/optimise diagnostic and treatment pathways with novel device-data linkage
Develop portable surface-imaging and sensing technologies deployable at the bedside and integrated with whole-body imaging for the detailed assessment of diseases and co-morbidities
Further develop our imaging technology and PET-MRI capabilities with strategic partner, GE Healthcare
Imaging & Engineering Theme Lead
Professor Jim Wild
Professor Wild joined the University of Sheffield in 2000 and has expertise in the physics and engineering and clinical applications of hyperpolarised gas and proton MRI in the lungs and pulmonary vasculature.
Read more about Professor Wild on the University of Sheffield website
Imaging & Engineering Sub-Themes