نتائج البحث - "Tumor Suppressor Protein p53/analysis"

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Automated annotation of digital H&E/SOX10 dual stains generates high-performing convolutional neural network for calculating tumor burden in H&E-stained cutaneous melanoma

المؤلفون: Nielsen, Patricia Switten, Georgsen, Jeanette Bæhr, Vinding, Mads Sloth, Østergaard, Lasse Riis, Steiniche, Torben

المصدر: Nielsen, P S, Georgsen, J B, Vinding, M S, Østergaard, L R & Steiniche, T 2022, ' Automated annotation of digital H &E/SOX10 dual stains generates high-performing convolutional neural network for calculating tumor burden in H &E-stained cutaneous melanoma ', 34th European Congress of Pathology, Basel, Switzerland, 03/09/2022-07/09/2022 .
Nielsen, P S, Georgsen, J B, Vinding, M S, Østergaard, L R & Steiniche, T 2022, ' Automated annotation of digital H &E/SOX10 dual stains generates high-performing convolutional neural network for calculating tumour burden in H &E-stained cutaneous melanoma ', Virchows Archiv, vol. 481, no. S1, PS-03-019, pp. S80-S80 . https://doi.org/10.1007/s00428-022-03379-4

مصطلحات موضوعية: Carcinoma in Situ/pathology, Lymphatic Metastasis/pathology, Cholangiocarcinoma/pathology, Humans, Bile Ducts, Intrahepatic/pathology, Klatskin Tumor/pathology, Bile Duct Neoplasms/pathology, Tumor Suppressor Protein p53/analysis

URL الوصول: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c4435ddcf13e90d1caeaf178c39ffb80
https://pure.au.dk/portal/da/publications/automated-annotation-of-digital-hesox10-dual-stains-generates-highperforming-convolutional-neural-network-for-calculating-tumor-burden-in-hestained-cutaneous-melanoma(15464730-32cc-46a3-864d-5c0b85dbed81).html

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Statin use, Candidate Mevalonate Pathway Biomarkers, and Colon Cancer Survival in a Population-Based Cohort Study

المؤلفون: Helen G. Coleman, Liam J. Murray, Roisin O'Neill, Maurice B Loughrey, Peter Bankhead, Anna Gavin, Christopher Cardwell, Jacqueline James, Claire McGready, Kenneth Arthur, Ronan T. Gray, Victoria Bingham, Peter W. Hamilton, Manuel Salto-Tellez, Stephen McQuaid

المصدر: Gray, R T, Loughrey, M B, Bankhead, P, Cardwell, C R, McQuaid, S, O'Neill, R F, Arthur, K, Bingham, V, McGready, C, Gavin, A T, James, J A, Hamilton, P W, Salto-Tellez, M, Murray, L J & Coleman, H G 2017, ' Statin use, Candidate Mevalonate Pathway Biomarkers, and Colon Cancer Survival in a Population-Based Cohort Study ', British Journal of Cancer, vol. 152, no. 5, pp. S1023-S1024 . https://doi.org/10.1038/bjc.2017.139
Gray, R T, Loughrey, M B, Bankhead, P, Cardwell, C R, McQuaid, S, O'Neill, R F, Arthur, K, Bingham, V, McGready, C, Gavin, A T, James, J A, Hamilton, P W, Salto-Tellez, M, Murray, L J & Coleman, H G 2017, ' Statin use, candidate mevalonate pathway biomarkers, and colon cancer survival in a population-based cohort study ', British Journal of Cancer, vol. 116, no. 12, pp. 1652-1659 . https://doi.org/10.1038/bjc.2017.139
British Journal of Cancer

مصطلحات موضوعية: 0301 basic medicine, Oncology, Colonic Neoplasms/chemistry, Male, Cancer Research, Epidemiology, Colorectal cancer, Pharmacology, medicine.disease_cause, Cohort Studies, 0302 clinical medicine, HMGCR protein, Aged, 80 and over, education.field_of_study, Tissue microarray, Hazard ratio, Gastroenterology, colonic neoplasms, Middle Aged, tumour suppressor protein p53, Survival Rate, 030220 oncology & carcinogenesis, Cohort, lipids (amino acids, peptides, and proteins), Female, KRAS, Mevalonic Acid/metabolism, Metabolic Networks and Pathways, Cohort study, medicine.medical_specialty, Hydroxymethylglutaryl-CoA Reductase Inhibitors/therapeutic use, Population, Mevalonic Acid, Biology, survival, Proto-Oncogene Proteins p21(ras), Biomarkers, Tumor/analysis, Proto-Oncogene Proteins p21(ras)/genetics, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Internal medicine, Biomarkers, Tumor, medicine, Humans, education, Survival rate, Aged, Hepatology, Proportional hazards model, business.industry, Hydroxymethylglutaryl CoA Reductases/analysis, medicine.disease, Tumor Suppressor Protein p53/analysis, 030104 developmental biology, Hydroxymethylglutaryl CoA Reductases, Hydroxymethylglutaryl-CoA Reductase Inhibitors, Tumor Suppressor Protein p53, business