Kerr, Rachel

COVID-19 mortality in patients with cancer on chemotherapy or other anticancer treatments: a prospective cohort study

Lee, L. Y., Cazier, J.-B., Angelis, V., Arnold, R., Bisht, V., Campton, N. A., Chackathayil, J., Cheng, V. W., Curley, H. M., Fittall, M. W., et al. (2020) · The Lancet

COVID-19 and healthcare impactsCOVID-19 Clinical Research Studies

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Duration of adjuvant chemotherapy for stage III colon cancer

Grothey, A., Sobrero, A. F., Shields, A. F., Yoshino, T., Paul, J., Taieb, J., Souglakos, J., Shi, Q., Kerr, R., Labianca, R., et al. (2018) · New England Journal of Medicine

Colorectal Cancer Treatments and StudiesColorectal Cancer Surgical Treatments

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Deep learning for prediction of colorectal cancer outcome: a discovery and validation study

Skrede, O.-J., De Raedt, S., Kleppe, A., Hveem, T. S., Liestøl, K., Maddison, J., Askautrud, H. A., Pradhan, M., Nesheim, J. A., Albregtsen, F., et al. (2020) · The Lancet

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

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Atezolizumab with or without Cobimetinib versus Regorafenib in Previously Treated Metastatic Colorectal Cancer (IMblaze370): A Multicentre, Open-Label, Phase 3, Randomised, Controlled Trial

Eng, C., Kim, T. W., Bendell, J., Argilés, G., Tebbutt, N. C., Di Bartolomeo, M., Falcone, A., Fakih, M., Kozloff, M., Segal, N. H., et al. (2019) · The Lancet Oncology

Colorectal Cancer Treatments and StudiesCancer Immunotherapy and Biomarkers

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Somatic POLE proofreading domain mutation, immune response, and prognosis in colorectal cancer: A retrospective, pooled biomarker study

Domingo, E., Freeman-Mills, L., Rayner, E., Glaire, M., Briggs, S., Vermeulen, L., Fessler, E., Medema, J. P., Boot, A., Morreau, H., et al. (2016) · The Lancet Gastroenterology & Hepatology

Genetic factors in colorectal cancerColorectal Cancer Treatments and Studies

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Transformer-based biomarker prediction from colorectal cancer histology: A large-scale multicentric study

Wagner, S. J., Reisenbüchler, D., West, N. P., Niehues, J. M., Zhu, J., Foersch, S., Veldhuizen, G. P., Quirke, P., Grabsch, H. I., van den Brandt, P. A., et al. (2023) · Cancer Cell

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

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