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Publications

Engineering the future of 3D pathology.

Liu JT. et al, (2023), J Pathol Clin Res

A New Hierarchy of Research Evidence for Tumor Pathology: A Delphi Study to Define Levels of Evidence in Tumor Pathology.

Colling R. et al, (2023), Mod Pathol

Spatial transcriptomic analysis of virtual prostate biopsy reveals confounding effect of tissue heterogeneity on genomic signatures.

Figiel S. et al, (2023), Mol Cancer, 22

Department Wide Validation in Digital Pathology-Experience from an Academic Teaching Hospital Using the UK Royal College of Pathologists' Guidance.

Kelleher M. et al, (2023), Diagnostics (Basel), 13

Correction: sFRP2 Supersedes VEGF as an Age-related Driver of Angiogenesis in Melanoma, Affecting Response to Anti-VEGF Therapy in Older Patients.

Fane ME. et al, (2023), Clin Cancer Res, 29

WNT5A-ROR2 axis mediates VEGF dependence of BRAF mutant melanoma.

Coupe N. et al, (2023), Cell Oncol (Dordr), 46, 391 - 407

Spatial transcriptomic analysis of virtual prostate biopsy reveals confounding effect of heterogeneity on genomic signature scoring

Figiel S. et al, (2023), EUROPEAN UROLOGY, 83

The spatial landscape of clonal somatic copy number alterations in benign and malignant prostate epithelia

Erickson A. et al, (2023), CANCER RESEARCH, 83

Evidence-levels in pathology for informing the WHO classification of tumours.

Indave BI. et al, (2022), Histopathology, 81, 420 - 425

Understanding the use of evidence in the WHO Classification of Tumours: a protocol for an evidence gap map of the classification of tumours of the lung

del Aguila Mejía J. et al, (2022), BMJ Open, 12, e061240 - e061240

Spatially resolved clonal copy number alterations in benign and malignant tissue.

Erickson A. et al, (2022), Nature, 608, 360 - 367

Impact of the transition to digital pathology in a clinical setting on histopathologists in training: experiences and perceived challenges within a UK training region.

Browning L. et al, (2022), J Clin Pathol

The Use of Digital Pathology and Artificial Intelligence in Histopathological Diagnostic Assessment of Prostate Cancer: A Survey of Prostate Cancer UK Supporters.

Rakovic K. et al, (2022), Diagnostics (Basel), 12

Automated quality assessment of large digitised histology cohorts by artificial intelligence.

Haghighat M. et al, (2022), Sci Rep, 12

RFID analysis of the complexity of cellular pathology workflow-An opportunity for digital pathology.

Browning L. et al, (2022), Front Med (Lausanne), 9

Digital Pathology Transformation in a Supraregional Germ Cell Tumour Network.

Colling R. et al, (2021), Diagnostics (Basel), 11

Understanding the ethical and legal considerations of Digital Pathology.

Coulter C. et al, (2021), J Pathol Clin Res

Morphological Features Extracted by AI Associated with Spatial Transcriptomics in Prostate Cancer.

Chelebian E. et al, (2021), Cancers (Basel), 13

Validation of grading of non-invasive urothelial carcinoma by digital pathology for routine diagnosis.

Colling R. et al, (2021), BMC Cancer, 21

WHO/ISUP grading of clear cell renal cell carcinoma and papillary renal cell carcinoma; validation of grading on the digital pathology platform and perspectives on reproducibility of grade.

Browning L. et al, (2021), Diagn Pathol, 16

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