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Tuesday 8th March 2016


In December 2015, the Engineering and Physical Sciences Research Council (EPSRC) announced a £10 million investment in five new UK Research Centres which will explore how mathematics and statistics can help clinicians to tackle serious health challenges such as cancer, heart disease and antibiotic resistant bacteria. Specifically, researchers will develop new tools from predictive mathematical models to enable earlier diagnosis of chronic diseases such as epilepsy, and new systems to make clinical imaging more accurate and efficient.

The newly established EPSRC Centre for Mathematical Imaging in Healthcare at the University of Cambridge aims to achieve synergies between applied mathematics and statistics through the focus on the analysis of clinical imaging, particularly that arising in neurological, cardiovascular and oncology imaging. The new Centre is a collaboration between mathematics, engineering, physics and biomedical scientists and clinicians. This centre is one of five funded by EPSRC, other's include the Liverpool Centre for Mathematics in Healthcare

This event was an opportunity to celebrate the launch of this important research centre and for researchers from mathematics, statistics, engineering, physics and biomedicine to meet with healthcare planners, clinicians, policy makers and industry partners to discuss the research projects and challenges arising from the analysis of clinical imaging.

Aims and Objectives

The Cambridge centre will enable mathematicians and statisticians to work closely with relevant stakeholders involved in the areas clinical imaging from healthcare planning, clinical provision, policy making and industrial research across the UK. A key aim of this partnership is the delivery of high quality, multidisciplinary research that will help overcome some of the big challenges facing the NHS.

This launch event introduced and outlined the Centre and the projects which will apply cutting-edge mathematics and statistics to investigate problems in cardiovascular medicine, oncology, neuroscience, radiology and other clinical areas. The projects are:

  • Hybrid Image Reconstruction & Analysis Models for Robust and More Informed Image-Based Diagnosis and Treatment
  • Mutimodal Image Correlation - from Joint Priors to Joint Analysis for Cancer Diagnosis and Treatment
  • Incorporating Spatial Information into Dynamic Imaging
  • Image Based Prognostic Indicators
  • Improving the Diagnostic and Prognostic Yield of Biomedical Imaging
  • Real-Time Cancer Diagnosis Using Random Projecting Ensemble Classification
  • Early Cancer Detection with Holographic Endoscopy
  • Scanning Efficiency and Resolution Enhancement for Medical Imaging

This event was a great opportunity for participants to network with senior scientists and relevant individuals from industry and government and learn more about state-of-the-art research in the area of analysis of multimodal clinical imaging.


Registration and Venue

The workshop took take place at the Isaac Newton Institute for Mathematical Sciences in Cambridge. Please see the Isaac Newton Institute website for further information about the venue.