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Darren Treanor

Adjunct Professor

Visiting professor at LiU from Leeds Institute of Medical Research at St James's

Presentation

Profile
Practicing NHS pathologist working in liver and gastrointestinal pathology
Dual qualified in medicine and computing

Research interests
Digital pathology
Image analysis
Human computer interaction
Pathology
Liver disease

Publications

2026

Charlotte Jennings, Andrew Broad, Lucy Godson, Emily Clarke, David Westhead, Darren Treanor (2026) AI in Cancer Prognosis: A Systematic Review of Multimodal Models Combining Pathology Images and High-Throughput Omics Cancer Informatics, Vol. 25, Article 11769351261434523 (Article in journal) https://dx.doi.org/10.1177/11769351261434523
Hayley Pye, David S. Brettle, Danny Kaye, Catriona M. Dunn, Matthew P. Humphries, Darren Treanor (2026) A look at scanner introduced variation in contrast, resolution, and colour across nine different models of whole slide imaging (WSI) scanner Journal of Histotechnology (Article in journal) https://dx.doi.org/10.1080/01478885.2026.2643973
Emily L. Clarke, Derek Magee, Julia Newton-bishop, Gerald Saldanha, William Merchant, Marlous Hall, Robert Insall, Nigel G. Maher, Richard A. Scolyer, Grace Farnworth, Anisah Ali, Mark Bamford, Eva Sticova, Petr Kujal, Sally O'shea, Darren Treanor (2026) AI-derived prognostic biomarkers from melanoma whole slide image segmentation: an initial discovery and assessment The journal of pathology. Clinical research, Vol. 12, Article e70075 (Article in journal) https://dx.doi.org/10.1002/2056-4538.70075

2025

C. McGenity, A. Cratchley, J. Aldridge, C. Sayers, W. S. Campbell, R. C. Dash, A. M. Flanagan, N. Sebire, A. Wright, W. Akhtar, Darren Treanor (2025) Development of a national pathology training system using digital pathology and SNOMED-CT Journal of Pathology Informatics, Vol. 18, Article 100456 (Article in journal) https://dx.doi.org/10.1016/j.jpi.2025.100456
M. Farzi, C. McGenity, A. Cratchley, L. Leplat, P. Bankhead, A. Wright, Darren Treanor (2025) Liver-Quant: Feature-based image analysis toolkit for automatic quantification of metabolic dysfunction-associated steatotic liver disease Computers in Biology and Medicine, Vol. 190, Article 110049 (Article in journal) https://dx.doi.org/10.1016/j.compbiomed.2025.110049