Prof Clare Verrill, Digital Pathology AI and Radiomics Model Development (WP4)
Prof Clare Verrill studied medicine at the University of Southampton, qualifying as Bachelor of Medicine (Distinction) in July 2001. After House Officer and Specialist Registrar (Histopathology) posts in Salisbury, Bournemouth and Southampton, in 2008 she became Consultant Histopathologist at the Royal Bournemouth Hospital and Honorary Senior Lecturer, University of Southampton. During this time she successfully completed a Masters of Medical Education (MMedEd) qualification from the University of Dundee (November 2006), became a Fellow of the Royal College of Pathologists (FRCPath – May 2007) and was awarded my CCT ( Histopathology) in February 2008.
In January 2011 Clare moved to the OUH NHS Trust and since then has been the Lead for Molecular Pathology, Lead for Uropathology, an Educational Supervisor (for Cellular Pathology) and Consultant in Cellular Pathology, specialising in urological and molecular pathology. She is the Thames Valley supraregional lead for germ cell tumour pathology and Senior Clinical Lecturer, University of Oxford. In 2015 Clare became a full-time member of NDS and joined the NDS Management Committee. She is currently undertaking an MSc in Genomic Medicine with the Queen Mary University London (by distance learning).
One of Clare’s developing research interests is in digital pathology and she is collaborating with Prof Jens Rittscher (Professor of Bioengineering, University of Oxford) in image analysis of the Prompt prostate samples. She has a collaboration with Prof Johan Lundin at the Finnish Institute of Molecular Medicine (FIMM) who have extensive expertise in image analysis of histological sections. They are currently working on image analysis and algorithm development on features predictive of prognosis in testicular tumours and also unsupervised machine learning on prostate cancer, predicting features of outcome. Clare is chair of the Oxford Digital Pathology Academic Forum – an academic group including pathologists, engineers and statisticians from which several novel collaborations have been developed.
Clare leads on Work Package 4 Digital Pathology AI and Radiomics Model Development and Validation.