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Leveraging state-of-the-art methods in Artificial Intelligence and medical imaging for automated response evaluation and prediction of soft-tissue sarcomas to systemic treatment.

  • Full or part time
    Dr M Blackledge
    Dr C Messiou
    Dr P Huang
  • Application Deadline
    Sunday, November 17, 2019
  • Funded PhD Project (Students Worldwide)
    Funded PhD Project (Students Worldwide)

About This PhD Project

Project Description

The Institute of Cancer Research, London, is one of the world’s most influential cancer research institutes. We are committed to attracting and developing the best minds in the world to join us in our mission—to make the discoveries that defeat cancer.

Leveraging state-of-the-art methods in Artificial Intelligence and medical imaging for automated response evaluation and prediction of soft-tissue sarcomas to systemic treatment.

Project Description:
Soft tissue sarcomas (STSs) are a group of rare cancers for which surgery is the standard treatment. Approximately 50% of patients will relapse following surgery developing both local tumour re-growth and distant metastatic disease, which significantly reduce patient survival. In addition to this, many surgeries are highly invasive leading to poor patient quality of life and functional impairment.
In this PhD project, the student will focus on the development of new AI methodologies for response assessment of STS using medical imaging data including CT and MRI. STS tumours are highly heterogeneous, meaning that different regions within single sites of disease can behave very differently to the same treatment. Imaging provides perhaps the only non-invasive approach for monitoring how these different regions change during the course of treatment, but analysis methods for accurately tracking these changes are still in their infancy. In addition, given the paucity of robust imaging guidelines for evaluating STS tumours during treatment, the student will develop novel approaches for (i) integrating imaging data with the other data sources available from the consortium, and (ii) combining heterogeneous imaging datasets from multiple institutions. The developed techniques will be integrated into a software framework with an aim to provide a robust prototype for further integration into clinical practise and improvement in patient outcome.

Keywords /Subject Areas:
Magnetic Resonance Imaging
Artificial Intelligence
Image Analysis
Soft Tissue Sarcoma
Habitat Imaging

Funding Notes

Students receive an annual stipend, currently £21,000 per annum, as well as having tuition fees (both UK/EU and overseas) and project costs paid for the four-year duration. We are open to applications from any eligible candidates and are committed to attracting and developing the best minds in the world.
See icr.ac.uk/phds to apply
Applications close 11:55pm UK time on Sunday 17th November 2019

Candidates must have a first class or upper second class honours BSc Honours/MSc in Physics, Engineering, Mathematics or Computer Science.



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