Items where authors include "Richman, S.D."

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Number of items: 8.

Article

Malla, S.B. orcid.org/0000-0001-5862-3815, Byrne, R.M. orcid.org/0000-0001-6505-6345, Lafarge, M.W. et al. (40 more authors) (2024) Pathway level subtyping identifies a slow-cycling biological phenotype associated with poor clinical outcomes in colorectal cancer. Nature Genetics. ISSN 1061-4036

Williams, C.J.M. orcid.org/0000-0002-1574-653X, Elliott, F. orcid.org/0000-0002-3239-6914, Sapanara, N. orcid.org/0009-0005-0994-837X et al. (51 more authors) (2023) Associations between AI-assisted tumor amphiregulin and epiregulin IHC and outcomes from anti-EGFR therapy in the routine management of metastatic colorectal cancer. Clinical Cancer Research, 29 (20). pp. 4153-4165. ISSN 1078-0432

Williams, C.J.M. orcid.org/0000-0002-1574-653X, Elliott, F. orcid.org/0000-0002-3239-6914, Sapanara, N. orcid.org/0009-0005-0994-837X et al. (51 more authors) (2023) Associations between AI-Assisted Tumor Amphiregulin and Epiregulin IHC and Outcomes from Anti-EGFR Therapy in the Routine Management of Metastatic Colorectal Cancer. Clinical Cancer Research, 29 (20). pp. 4153-4165. ISSN 1078-0432

Wagner, S.J., Reisenbüchler, D., West, N.P. et al. (46 more authors) (2023) Transformer-based biomarker prediction from colorectal cancer histology: A large-scale multicentric study. Cancer Cell, 41. ISSN 1535-6108

Williams, C.J.M. orcid.org/0000-0002-1574-653X, Seligmann, J.F. orcid.org/0000-0003-4379-6005, Elliott, F. et al. (24 more authors) (2021) Artificial Intelligence–Assisted Amphiregulin and Epiregulin IHC Predicts Panitumumab Benefit in RAS Wild-Type Metastatic Colorectal Cancer. Clinical Cancer Research, 27 (12). pp. 3422-3431. ISSN 1078-0432

Proceedings Paper

Williams, C.J.M., Elliott, F., Shires, M. et al. (58 more authors) (2023) Association between artificial intelligence- (AI) assisted tumour AREG and EREG immunohistochemistry (IHC) and outcomes from anti-EGFR therapy during the routine management of metastatic colorectal cancer (mCRC): an observational cohort study. In: The Journal of Pathology. 5th Joint Meeting with the Royal Society of Medicine, 214th Scientific Meeting of the Pathological Society of Great Britain & Ireland, 23 Jan - 02 Feb 2023, London, UK. Wiley , S16-S16.

Williams, C. orcid.org/0000-0002-1574-653X, Gray, R.G., Shires, M. et al. (17 more authors) (2023) Artificial intelligence-assisted evaluation of tumor infiltrating CD3+ and CD8+ T cells for prognostication and prediction of benefit from adjuvant chemotherapy in early stage colorectal cancer (CRC): A retrospective analysis of the QUASAR trial. In: Journal of Clinical Oncology. 2023 ASCO Gastrointestinal Cancers Symposium, 19-21 Jan 2023, San Francisco, USA. American Society of Clinical Oncology , p. 204.

Hassanieh, S., Domingo, E., Blake, A. et al. (16 more authors) (2022) 337P Prediction of poor response to oxaliplatin by an RNA signature derived and validated in colorectal cancer clinical trials. In: Annals of Oncology. ESMO Congress 2022, 09-13 Sep 2022, Paris, France. Elsevier , S691.

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