PathLAKE is one of a network of five new Centres of Excellence in digital pathology and or medical imaging

Supported by a £50m investment from the Data to Early Diagnosis and Precision Medicine strand of the Industrial Strategy Challenge Fund, managed and delivered by UK Research and Innovation (UKRI).

About Us

PathLAKE

PathLAKE will deliver high-impact exemplar projects reflecting today’s demand for AI-driven diagnostics to increase efficiency in pathology reporting and improve patient outcomes through advanced diagnostics and selection of patients for personalised medicine.

The PathLAKE consortium comprises some of the nation’s leading digital and computational innovators from NHS and academia. Through the digitisation of five major NHS laboratories and the formation of a computational pathology hub, it will drive AI innovation in pathology for the UK and create the world’s largest depository of annotated digital whole slide images. PathLAKE will ensure that the UK is in prime position to leverage the full value of NHS pathology data to drive economic growth in health related AI.

PathLAKE will play a leading role in the development, validation and implementation of AI in cellular pathology. It will be an invaluable resource for researchers and UK industry, enabling a step change in the understanding of disease and the provision of patient healthcare.

What We Offer

Access to pathologists
Access to pathologists
Access to data scientists
Access to data scientists
Education & Training
Education & Training
Data lake access
Data lake access
University Hospitals Coventry and Warwickshire NHS Trust
Oxford University Hospitals NHS Foundation Trust
Nottingham University Hospitals NHS Trust
The University of Warwick
Queens University Belfast
University of Oxford
The University of Nottingham
Philips
NVIDIA
Glencoe Software
Perspectum Diagnostics
Oxford Cancer Biomarkers
Sonrai Analytics
Professor David Snead

Professor Snead is a consultant pathologist at the University Hospitals Coventry and Warwickshire and Professor of Pathology Practice at the University of Warwick. He has been in post at Coventry for 20 years. He is the founding director of PathLAKE, one of the five Innovate UK funded centres of excellence for the development of artificial intelligence in digital pathology and radiology.

He is an international expert in the use of digital pathology having led Coventry to be one of the ...

Meet All The Team
Professor David Snead
Professor Nasir Rajpoot

Hailing from the ancient Asian city of Multan, Nasir Rajpoot is Professor of Computational Pathology at the University of Warwick and Honorary Scientist at the Department of Pathology, University Hospitals Coventry & Warwickshire (UHCW) NHS Trust. He is the founding head of Tissue Image Analytics (TIA) lab at Warwick since 2012 and also co-Director of the recently funded £15m PathLAKE centre of excellence on AI in pathology since Jan 2019.

The focus of current research in TIA lab...

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Professor Nasir Rajpoot
Professor Manuel Salto-Tellez

Professor Manuel Salto-Tellez (MD-LMS, FRCPath, FRCPI) is the Chair of Molecular Pathology at Queen’s University Belfast (QUB), a clinical consultant pathologist and the Lead of QUB’s Precision Medicine Centre of Excellence.

Prof Salto-Tellez is author or co-author of more than 270 internationally peer-reviewed articles in translational science, molecular pathology and diagnostics, including work published in NEJM, Nature Medicine, Gastroenterology, FASEB, EMBO, Cancer Research...

Meet All The Team
Professor Manuel Salto-Tellez
Exemplar Projects
Breast
Cancer
Breast cancer exemplar project led by the Nottingham and Warwick groups aims to develop an innovative prognostic algorithm for early stage breast cancer patients. To achieve our objectives, we will use the power of image analysis and artificial intelligence (AI) to extract several features from the digitalised images to create a risk score for patients' stratification. The developed algorithm will provide a cost and time effective tool to predict the disease outcome and will aid in patients' management decisions.
Prostate
Cancer
Prostate cancer exemplar led by Professor Clare Verrill from Oxford has two objectives: 1. Improving workflow efficiency for reporting of prostate biopsies using AI delivering NHS efficiency gains and faster diagnoses. 2.Using AI to improve the recognition of which prostate cancers will behave in an aggressive fashion, leading to better selection of patients for radical treatment and new insights into cancer biology and prognosis.
Personalised
Medicine
Immunotherapy biomarker exemplar led by Professor Manuel Salto Tellez working with the Northern Ireland Biobank (NIB) will develop algorithms for improved identification of patients that will benefit from personalised medicine. Identification of these patients is key to delivering improved care for cancer patients.
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Automated
biopsy analysis
Automated reporting of tissue biopsies will be made possible by innovative algorithms developed by Professor David Snead and Professor Nasir Rajpoot. They aim to deliver the world’s first fully automated cellular pathology reporting tool allowing valuable pathologist time to be diverted to challenging cases where their expertise is most needed. This will provide high volume rapid analysis of large sections of the pathologist’s workload and help to deliver more rapid results to clinic improving patient management.

Latest News

Now available online: The Philips Pathology Education Tutor
28th March 2020

Philips in collaboration with the PathLAKE and iCAIRD centres of excellence in Digital Pathology and AI (funded by Innovate UK) has launched the Philips Digital Pathology Online Validation Courses. The aim is to provide users with: •           course content that is current and engaging •           opportunities to gain relevant knowledge, skills and experience in Digital Pathology The transition to digitisation and AI in health requires new skills in interp...

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Now available online: The Philips Pathology Education Tutor