📋 Tender Overview
Funded Value6034274Funded PeriodOct 19 - Mar 28FunderEPSRCProject StatusActiveProject CategoryTraining GrantProject ReferenceEPS0219301We propose to create the EPSRC Centre for Doctoral Training CDT in intelligent integrated imaging in healthcare i4health at University College London UCL. Our aim is to nurture the UKs future leaders in next-generation medical imaging research development and enterprise equipping them to produce future disruptive healthcare innovations either focused on or including imaging.Building on the success of our current CDT in Medical Imaging the new CDT will focus on an exciting new vision to unlock the full potential of medical imaging by harnessing new associated transformative technologies enabling us to consider medical imaging as a component within integrated healthcare systems. We retain a focus on medical imaging technology - from basic imaging technologies devices and hardware imaging physics acquisition and reconstruction through image computing image analysis and computational modeling to integrated image-based systems diagnostic and interventional systems - topics we have developed world-leading capability and expertise on over the last decade. Beyond this the new initiative in i4health is to capitalise on UCLs unique combination of strengths in four complementary areas 1 machine learning and AI 2 data science and health informatics 3 robotics and sensing 4 human-computer interaction HCI. Furthermore we frame this research training and development in a range of clinical areas including areas in which UCL is internationally leading as well as areas where we have up-and-coming capability that the i4health CDT can help bring to fruition cancer imaging cardiovascular imaging imaging infection and inflammation neuroimaging ophthalmology imaging pediatric and perinatal imaging. This unique combination of engineering and clinical skills and context will provide trainees with the essential capabilities for realizing future image-based technologies. That will rely on joint modelling of imaging and non-imaging data to integrate diverse sources of information understanding of hardware the produces or uses images consideration of user interaction with image-based information and a deep understanding of clinical and biomedical aims and requirements as well as an ability to consider research and development from the perspective of responsible innovation. Building on our proven track record we will attract the very best aspiring young minds equipping them with essential training in imaging and computational sciences as well as clinical context and entrepreneurship. We will provide a world-class research environment and mentorship producing a critical mass of future scientists and engineers poised to develop and translate cutting-edge engineering solutions to the most pressing healthcare challenges.
