Imaging and Data Science

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Professor Christina Messiou (left), Co-Theme Lead for Imaging and Data Science, and Professor Manuel Salto-Tellez (right), Co-Theme Lead for Imaging and Data Science.
Professor Christina Messiou (left), Co-Theme Lead for Imaging and Data Science, and Professor Manuel Salto-Tellez (right), Co-Theme Lead for Imaging and Data Science

Utilising the full potential of data in research and creating the next generation of tools to scan the body  

Data is full of information and the more information we have, the more we can learn about cancer. It has the potential to transform cancer treatment, care and research. 

We will develop new tools that accurately diagnose those with cancer and tell us where the cancer is in the body. This includes using body scans, such as MRI and CT. This will help us select the best treatment for each person.

Using powerful computers and novel analyses, including artificial intelligence (AI), we can now look for patterns in health data we regularly collect while we care for patients that we would not have found previously. Computers can look at scans (imaging) in very small detail to find patterns. We can also look at patterns in the clinical records of hundreds of thousands, even millions of patients. 

This theme will use these patterns to find biological insights into cancer that we can use to improve our ability to diagnose and treat cancer. This could be crucial to helping improve patient outcomes.

Theme aims

We aim to:

  • Create the next generation of imaging tools by exploring imaging biomarkers and unlocking insights into tumour biology with ‘virtual biopsy’.
  • Developing and improving AI tools to improve patient outcomes, generate new knowledge and increase efficiency.
  • Deliver and learn from a unified and integrated view of the entire patient pathway through application of novel data science methodologies, harnessing the power of data.

Co-Theme Leads

Professor Christina Messiou is a Consultant Radiologist at The Royal Marsden NHS Foundation Trust and Professor in Functional Imaging at The Institute of Cancer Research, London, Co-director of the AI Imaging Hub. She is a specialist in the imaging of myeloma, melanoma and soft tissue sarcoma. Her research focuses on functional MRI and whole-body MRI.

Professor Manuel Salto-Tellez is a Consultant Pathologist, Professor of Molecular Pathology and the Director of the Integrated Pathology Unit at The Royal Marsden and The Institute of Cancer Research. Expertise in molecular and digital pathology, integrated diagnostics and AI.