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2nd October 2020
PathLAKE PD-L1 Digital Pathology Module Receives CPD Accreditation

PathLAKE is delighted to announce the addition of the PD-L1 module to its Digital Pathology Education Tutor website. It is fully approved by the Royal College of Pathologists and carries two CPD points.

The new PD-L1 module is aimed at those looking to train and develop their skills in digital pathology and reporting, specifically enabling them to examine common scenarios in immunohistochemistry. It complements the modules already available on the Digital Pathology website in breast and prostate.

The modules have been developed as part of the PathLAKE project which is funded by Innovate UK. The project brings together leading digital and computational innovators from NHS, academia and industry with the aim of driving artificial intelligence (AI) innovation in the UK.

The Digital Pathology Education Tutor platform enables trainees to develop their confidence through the examination of common scenarios in immunohistochemistry and histopathology, and others to further develop and refine their skills not only in digital pathology but also in more challenging areas. All cases are presented with full clinical details just as they would be in the clinical setting. Each case includes a descriptive report with annotations to highlight areas of interest and also includes elements that are widely recognised to be challenging on whole slide images (WSI).

The courses demonstrate the utility of using a digital platform in the assessment of pathological features. The breast and prostate modules are approved for four CPD points, and the PD-L1 module for two CPD points from the UK Royal College of Pathologists. This could be included in a submission of evidence towards completion of stage 1 validation in digital pathology. Prof Manuel Salto-Tellez, Director of the Precision Medicine Centre at Queen™s University Belfast, said: œOnline education is transforming the way we teach pathology. PD-L1 in lung cancer is key to the diagnostic armamentarium of personalised pathology.

He added: œThis module will provide basic training in PD-L1 interpretation in NSCLC with all the advantages of such training: easy access, permanent availability of training materials and high-quality from one of UK™s leading digital pathology hubs.

Professor Rakha, Consultant Pathologist and Professor at University of Nottingham, added: œEducation is central to the adoption of whole slide images and AI technologies in pathology. The PathLAKE educational platform provides world-class training and support to both the pathology and computer science communities. The combination of access to high quality digital pathology images and associated meta-data, industrial grade analytics, clinical and academic expertise supports the adoption of digital pathology and AI and will help to drive further innovation in this area.

Access to the Philips Digital Pathology Education Tutor platform is open to all. Please email or complete the form at



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