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PathLAKE Centre of Excellence

What is PathLAKE?

Pathology image data Lake for Analytics, Knowledge and Education
  • £2.3 million has been awarded to help develop AI technologies for cancer diagnosis and personalised treatment, creating a unique data resource of cancer images and techniques.
  • The Consortium will bring together researchers from universities, several university hospital trusts and leading AI/software business developers in the field to create a national Centre of Excellence in AI in pathology, that will be linked to five digitised NHS pathology labs.
  • The technology will assist pathologists in diagnosing cancer more efficiently and selecting the optimal treatment for cancer patients in a much quicker timescale.

Read more about PathLAKE

Focus at Warwick

Here at Warwick, our aim is to focus on the:

  • Construction of a world-class pathology image data lake with annotated pathology images and linked clinical outcome data
  • Integration of the PathLAKE data lake with data ponds at partner hospital sites
  • Building of PathLAKE Analytics Engine linked with the data lake, bringing the 'compute to the data'
  • Research and Development (R&D) of cutting-edge AI algorithms for early diagnosis and personalised treatment of cancer
  • Testing and validation of the AI algorithms

 

 

 

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Partner organisations

We are indebted to many organisations for funding, resources, expertise and knowledge:

  • Universities of Warwick, Nottingham, Oxford, and Queen's Belfast
  • University Hospitals Coventry & Warwickshire NHS Trust, Oxford University Hospitals NHS Foundation Trust, and Nottingham University Hospitals NHS Trust
  • Industrial Strategy Challenge Fund and UK Research & Innovation
  • Philips Digital & Computational Pathology
  • NVIDIA
  • Glencoe Software
  • Perspectum Diagnostics
  • Oxford Cancer Biomarkers
  • Sonrai Analytics

More about Project partners

Revolutionising cancer image analytics

The Tissue Image Analytics Lab hosts a large repository of human tissue sample and algorithm development ensures faster recognition of cell pattern.

Image taken from Warwick's Tissue Image Analytics Lab examining tumour and immune cells in human tissue sample