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Publications

Engineering the future of 3D pathology.

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

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

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

Molecular analysis of archival diagnostic prostate cancer biopsies identifies genomic similarities in cases with progression post-radiotherapy, and those withde novometastatic disease

Charlton P. et al, (2023)

Genomic Evolution and Transcriptional Changes in the Evolution of Prostate Cancer into Neuroendocrine and Ductal Carcinoma Types.

Rao SR. et al, (2023), Int J Mol Sci, 24

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

Intra-prostatic tumour evolution, steps in metastatic spread and histogenomic associations revealed by integration of multi-region whole genome sequencing with histopathological features

Rao SR. et al, (2023)

Clinical Significance of Tumour-Infiltrating B Lymphocytes (TIL-Bs) in Breast Cancer: A Systematic Literature Review.

Lam BM. and Verrill C., (2023), Cancers (Basel), 15

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

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

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

A Graph Based Neural Network Approach to Immune Profiling of Multiplexed Tissue Samples.

Martin NG. et al, (2022), Annu Int Conf IEEE Eng Med Biol Soc, 2022, 3063 - 3067

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

Lessons from a breast cell annotation competition series for school pupils

Lu W. and VERRILL C., (2022), Scientific Reports

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

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

Predicting Molecular Traits from Tissue Morphology Through Self-interactive Multi-instance Learning

Hu Y. et al, (2022), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13432 LNCS, 130 - 139

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

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

TET2 Drives 5hmc Marking of GATA6 and Epigenetically Defines Pancreatic Ductal Adenocarcinoma Transcriptional Subtypes.

Eyres M. et al, (2021), Gastroenterology, 161, 653 - 668.e16

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