BMBS MSc MD FHEA FRCPath
Senior Clinical Research Fellow in Urological and Digital Pathology
- Consultant Pathologist (OUH)
- Junior Research Fellow (Kellogg)
I am a clinical academic, pathologist, and researcher currently working in NDS as a Fellow in Urological Pathology and Digital Pathology. I came to Oxford in 2013 and was appointed as an academic consultant in 2019. I specialise clinically in urological pathology. I also teach on the NDCLS Laboratory Medicine Course and am a JRF at Kellogg.
I specialise in clinical epidemiology & research methodology, with an emphasis on evidence-based diagnostics and test development & validation. My work has a focus urological cancers.
A key area of my work is in developing the use of digital pathology tools such as digital microscopy, whole slide imaging, image analysis, machine learning, and artificial intelligence, with the aim of improving pathology services for the NHS in Oxford. I am working on this as part of the PathLAKE Plus and ARTICULATE PRO projects (see below).
I am also a pathologist for the TRANSLATE clinical trial.
Oxford is one of several sites in the PathLAKE Centre of Excellence for Digital Pathology, funded by the Data to Early Diagnosis and Precision Medicine program of the UK Government’s Industrial Strategy Challenge Fund (UK Research and Innovation). PathLAKE aims to create a big data 'lake' of histopathology digital images as a resource for use in UK digital pathology research and development, as well kick-start the transition of NHS pathology services to digital pathology in the UK and innovate new AI and other digital software tools for use in clinical practice.
As we draw near the end of the PathLAKE journey - have a look at all our Achievements over the last few years!
ARTICULATE PRO is a two-year project, funded by the Accelerative Access Collaborative and NHSx through a Phase 4 AI in Health and Care Award. The project officially began on 1 September 2021. Our remit is to investigate the deployment of AI (computer assisted technology) in the prostate cancer pathway by using Paige Prostate to assist pathologists when reading prostate biopsies.
ACF & Clinical Lecturer in Histopathology (Oxford; 2013-2019)
Molecular Diagnostics & Digital Pathology Fellow (Oxford; 2015-17)
Fellow of the Royal College of Pathologists (2018)
Rakovic K. et al, (2022), Diagnostics (Basel), 12
Automated Quality Assessment of Large Digitised Histology Cohorts by Artificial Intelligence
VERRILL C. et al, (2022), Scientific Reports
Chelebian E. et al, (2021), Cancers (Basel), 13
Artificial Intelligence for Advance Requesting of Immunohistochemistry in Diagnostically Uncertain Prostate Biopsies”.
VERRILL C. et al, (2021), Modern Pathology
Colling R. et al, (2021), Diagnostics (Basel), 11
Colling R. et al, (2019), J Pathol
Moxley-Wyles B. et al, (2020), Diagnostic Histopathology