Items where authors include "Richman, S."

Article

Schoenpflug, L.A., Chatzipli, A., Sirinukunwattana, K. et al. (23 more authors) (2025) Tumour purity assessment with deep learning in colorectal cancer and impact on molecular analysis. The Journal of Pathology, 265 (2). pp. 184-197. ISSN 0022-3417

Domingo, E., Rathee, S., Blake, A. et al. (22 more authors) (2024) Identification and validation of a machine learning model of complete response to radiation in rectal cancer reveals immune infiltrate and TGFβ as key predictors. EBioMedicine, 106. 105228. ISSN 2352-3964

Proceedings Paper

Richman, S. orcid.org/0000-0003-3993-5041, Wood, H. orcid.org/0000-0003-3009-5904, Bottomley, D. et al. (12 more authors) (2024) OP19 Assessment of the efficacy of an extended gene-panel using participants recruited to the Yorkshire Cancer Research Bowel Cancer Improvement Programme. In: Journal of Pathology. Sheffield Pathology 2024, 18-20 Jun 2024, Sheffield, UK. , S10.

Sriha, K., Wood, H., Gusnanto, A. et al. (12 more authors) (2024) P25 Using a small NGS panel to predict microsatellite instability in colorectal cancer samples. In: Journal of Pathology. 6th Joint Winter Meeting with the Royal Society of Medicine, 30-31 Jan 2024, London, UK. Wiley , S13-S14.

Cartlidge, C., Richman, S. orcid.org/0000-0003-3993-5041, Hemmings, G. et al. (5 more authors) (2023) Artificial Intelligence (AI)-Assisted HER2 Immunohistochemistry (IHC) Membranous Scoring in Stage IV Colorectal Cancer (CRC) Tissue Microarrays (TMAs). In: The Journal of Pathology. 14th Joint Meeting of the BDIAP and The Pathological Society, 27-29 Jun 2023, Liverpool, UK. Wiley , S15.

Domingo, E., Rathee, S., Blake, A. et al. (18 more authors) (2021) Abstract LB129: Stratification of radiotherapy and fluoropyrimidine-based chemotherapy from multi-omic profiling in rectal cancer biopsies. In: Cancer Research. AACR Annual Meeting 2021, 17-21 May 2021, Philadelphia, PA, USA. American Association for Cancer Research (AACR) , LB129.

Williams, C. orcid.org/0000-0002-1574-653X, Seligmann, J.F. orcid.org/0000-0003-4379-6005, Guetter, C. et al. (13 more authors) (2021) Artificial intelligence-assisted immunohistochemical (IHC) evaluation of tumor amphiregulin (AREG) and epiregulin (EREG) expression as a combined predictive biomarker for panitumumab (Pan) therapy benefit in RAS wild-type (wt) metastatic colorectal cancer (mCRC): Analysis within the phase III PICCOLO trial. In: Journal of Clinical Oncology. 2021 Gastrointestinal Cancers Symposium, 15-17 Jan 2021, Online. American Society of Clinical Oncology , p. 111.