Multidisciplinary Research Group
Novel Applications in Multimodal and Digital Pathology
Using AI in Digital Pathology for patient benefit
We aim to embed the role of pathology across all research for the benefit of patients and to bring about improvements in the quality of research. Our team have interests in a wide range of projects including in digital pathology and image analysis, and multimodal and molecular pathology. We have a strong track record of using AI (Artificial Intelligence) in digital pathology in projects such as Articulate Pro and the Vanguard Path Study.
Histopathology, the microscopic study of diseased tissue, is an important tool in research, since accurate diagnosis and analysis of cancer and other diseases allows researchers to better understand the effects on patients and their prognosis. It enables clinicians to stratify patients into risk groups and, in some cases, can ensure patients are not over or under treated. Samples of tissue are often stained for various markers to help diagnose and understand abnormal cells found in tumours, and to detect cellular events such as cell death which may help in understanding the behaviours in certain cancers, and the implications for disease progression. For instance, using immunohistochemistry staining for expression of a protein kinase in prostate cancer may be a marker of response to radiotherapy allowing clinicians to determine the effectiveness of the treatment.
Molecular pathology assesses the changes in tissues together with an understanding of the molecular and genetic changes in human diseases (especially cancer), and includes the design and validation of predictive biomarkers for treatment response and disease progression. It enables researchers to understand why individuals of different genetic constitutions go on to develop disorders whereas others do not. Various techniques are used in molecular pathology and include quantitative polymerase chain reaction (qPCR), multiplex PCR, DNA microarray and DNA sequencing, and antibody based immunofluorescence tissue assays. More accurate diagnosis is possible when the diagnosis is based on both the morphologic changes in tissues and on molecular testing. For example, the 100,000 Genomes Project aims to sequence the DNA from around 70,000 patients. By comparing DNA from a patient’s tumour and healthy cells researchers will gain insight into the exact nature and genomic changes that are causing an individual’s cancer. For more information, see: https://www.genomicsengland.co.uk/the-100000-genomes-project/#
Multimodal pathology and digital pathology enables researchers to convert glass slides, which have usually been stained with various markers, to digitised images and to use various tools such as machine learning programmes to determine various histological features. Algorithms can be used to automate processes such as the manual counting of cell types, or to determine the number and type of cells in tumour and non tumour tissue. The aim is to reduce human error, improve accuracy of diagnosis and enable researchers to determine the differences in cell type, number and architecture in various cancers and other diseases and the effect on patient outcome. For instance, by using an algorithm to assess the different density/distribution of tumour infiltrating lymphocytes in both cancer and non cancer tissue, and using this information in association with information about the patient’s disease progression,e.g the clinical stage at presentation or disease relapse , it may be possible to improve patient prognosis in the longer term by determining histological features in testicular tumours and their association with outcome.
Digital slides are also easier to share than physical slides and could lead to developments allowing better patient outcomes such as enabling experts to consult on rare cases or to take part in virtual multi-disciplinary team meetings (MDT’s) where consultations can take place much more quickly and efficiently.
Digital pathology has enabled the use of AI tools in our most recent projects: Articulate Pro ARTICULATE PRO — Nuffield Department of Surgical Sciences where we evaluated the use of Paige Prostate to help support pathologists in their assessment of prostate cancer biopsies and in the Vanguard Path Study where we will use Artera AI's multi-modal AI Prostate Biopsy Test to determine whether or not we can provide patients with more personalised information and treatment by using this AI test. Advanced AI Prostate Cancer Test for Patients | ArteraAI
NEWS
New AI tool could improve prostate cancer treatment
A ground-breaking new study will test how artificial intelligence (AI) can make prostate cancer diagnosis more accurate. The study by the University of Oxford is funded by a £1.9m grant from research charity Prostate Cancer UK.
By using AI to provide clear and detailed information about a man's cancer, the project, which uses a cutting-edge AI tool from precision medicine company Artera , will help doctors make better decisions about whether to monitor or treat it, tailoring the decision to each man's specific needs and therefore reducing the potential for both overtreatment and undertreatment. The project could also help doctors decide the best course of treatment for each man.
Although the way we diagnose prostate cancer is safer and more accurate than ever before, it can still be challenging to determine how aggressive each man’s cancer is.
This can have an effect on treatment decisions. In some cases, these issues lead to some men being treated with surgery or radiotherapy when they could instead be monitored, putting them at risk of life-changing side effects that could have been avoided. At the same time, other men are missing out on treatment , allowing the cancer to spread and reducing their chance of survival.
Now researchers at Oxford University Hospitals and NHS trusts and universities in Bristol and Glasgow will investigate how the ArteraAI Prostate Biopsy Assay tool could give patients and doctors clearer, more precise information to guide treatment choices.
Called the VANGUARD PATH study, the research is being led by Principal Investigator Professor Clare Verrill with co-leads Professor Richard Bryant and Dr Srinivasa Rao, all from the University of Oxford’s Nuffield Department of Surgical Sciences, and Professor Jonathan Aning from North Bristol NHS Trust.
The researchers will first test the AI tool on prostate biopsy samples from men who have already been diagnosed and treated for prostate cancer and have at least five years of follow-up data. This will enable the team to compare how well the AI’s predictions match to the real-world outcomes, such as which cancers were more likely to spread without treatment.
Once they show that the AI can make accurate predictions about which cancers need treating or monitoring, the team will test the tool in real clinics, on biopsies from men as they are diagnosed – focusing on particularly difficult cases where it is harder for doctors to decide which treatment is best for each man.
Professor Verrill said: “This funding from Prostate Cancer UK will be truly transformational for men diagnosed with prostate cancer. It will pave the way for advanced AI technologies such as the Artera AI Prostate Biopsy Assay to be rolled out across the NHS. This will enable more detailed and precise information to be provided to men who will be able to make better informed decisions with their clinical team about whether they can be safely monitored or need treatment - and, if so, help guide those decisions.”
Dr Matthew Hobbs, Director of Research at Prostate Cancer UK, said: “AI has the potential to massively improve prostate cancer care and make sure that every man has the most accurate and best treatment plan for his specific cancer. We’ve been working with Artera for several years now and I believe that their AI tool is one of the most exciting ones to have been developed. But exciting AI tools can only make a difference if they can be properly evaluated.
"This new project from Professor Verrill and her team is so exciting because it tests this new technology in real-world settings, meaning we can deliver the final evidence needed for it to be rolled out across the NHS. It is exactly the sort of high-impact, research the Transformational Impact Awards Scheme supports – turning exciting innovations into proven real-life improvements for men with prostate cancer."
The AI analysis will be done alongside the usual report prepared by a pathologist and will not be used at this stage to influence the men’s treatment decisions. However, the researchers will compare these decisions to what doctors would have decided if they had used the AI report, to see whether the tool would have helped them in those challenging cases.
As well as OUH, the project will be carried out at North Bristol NHS Trust and NHS Greater Glasgow and Clyde. Testing the tool in NHS hospitals to see how well it works in real life will also allow the researchers to understand how patients and doctors feel about using it, paving the way for smarter, more tailored prostate cancer care.
The AI leverages computer vision to analyse a digitised image of the patient's biopsy samples in ways that humans cannot, extracting detailed information about the cancer cell's appearance and structure. The AI model then generates a personalised risk score that can advise doctors on what the best treatment will be for that particular patient.
This AI model was trained on thousands of patient samples and has been validated in multiple studies to accurately predict cancer aggressiveness. One big appeal of this type of AI technology is the potential to produce personalised risk scores for prostate cancer patients quickly and cost-efficiently.
Projects and previous projects
The vANGUARD pATH sTUDY
The Vanguard Path Study is a new study that will test how artificial intelligence (AI) can make prostate cancer diagnosis more accurate.
By using AI to provide clear and detailed information about a man's prostate cancer, the project, which uses a cutting-edge AI tool from precision medicine company Artera AI, will help doctors make better decisions about whether to monitor or treat the cancer, tailoring the decision to each man's specific needs and therefore reducing the potential for both overtreatment and undertreatment. The project could also help doctors decide the best course of treatment for each man
The study by the University of Oxford is funded by a £1.9m grant from research charity Prostate Cancer UK. The study began on 1st December 2025 and will run for 3 years in the first instance.
The Articulate Pro Study
ARTICULATE PRO was a three-year project, funded by the Accelerative Access Collaborative and NHSx through a Phase 4 AI in Health and Care Award which ended in 2025.
Our remit was to investigate the deployment of AI (Artificial Intelligence computer assisted technology) in the prostate cancer pathway by using Paige Prostate to assist pathologists when reading prostate biopsies.
A multi-disciplinary, expert team, was led by Professor Clare Verrill of the Nuffield Department of Surgical Sciences, University of Oxford, in conjunction with our industry partner, Paige AI. (See "The TEAM" for more information).
York Heath Economics Consortium was our TSET (Technology Specialist Evaluation Team) and they will undertake a programme of work looking at health economics amongst other things.
We were joined by three patient representatives on the study too, who brought a very unique view point to the project and a wealth of experience as men with lived experience of prostate cancer. We are very grateful for their support throughout the study.
PREVIOUS PROJECTS
AIDA - Annotation of Image Data by Assignments
GEL Pilot Image Analysis Study
PRONE (Pathology of Robotic Nerve Sparing)
Computational Image Analysis in 2 Large Prostate Cancer Cohorts – ProtecT and PrompT
Collaborators
- Professor Johan Lundin and Dr Nina Lindar - Institute for Molecular Medicine Finland
https://www.fimm.fi/en/research/groups/lundin
- Professor Johann de Bono - Institute of Cancer Research, London
https://www.icr.ac.uk/our-research/researchers-and-teams/professor-johann-de-bono
- Professor Jens Rittscher - Institute of Biomedical Engineering, University of Oxford
https://www.ndm.ox.ac.uk/team/jens-rittscher
- Dr Clare Turnbull - Institute of Cancer Research, London
https://www.icr.ac.uk/our-research/researchers-and-teams/dr-clare-turnbull
- Dr Srinivasa Rao Rao - Nuffield Dept of Surgical Sciences, University of Oxford
https://www.researchgate.net/profile/Srinivasa_Rao_Rao
- Professor Freddie Hamdy - Nuffield Dept of Surgical Sciences, University of Oxford
https://www.nds.ox.ac.uk/team/freddie-hamdy
- Professor Andrew Protheroe - Department of Oncology, University of Oxford
https://oxfordurologyassociates.uk/prof-andrew-protheroe
- Professor Gareth Bond - Nuffield Dept of Medicine, University of Oxford
https://www.ndm.ox.ac.uk/principal-investigators/researcher/gareth-bond
- Professor Adrian Hill - Nuffield Dept of Medicine, University of Oxford
https://www.ndm.ox.ac.uk/principal-investigators/researcher/adrian-hill
- Dr Prasanna Sooriakumaran - Nuffield Dept of Surgical Sciences, University of Oxford
https://www.nds.ox.ac.uk/team/prasanna-sooriakumaran
- Dr David Wedge - Nuffield Dept of Medicine, University of Oxford
https://www.ndm.ox.ac.uk/principal-investigators/researcher/david-wedge
- Dr Claire Palles - Nuffield Dept of Medicine, University of Oxford
https://www.ndm.ox.ac.uk/principal-investigators/researcher/claire-palles