about
Association between low estrogen receptor positive breast cancer and staining performanceClosed system RT-qPCR as a potential companion diagnostic test for immunotherapy outcome in metastatic melanomaFalse-positive pathology: improving reproducibility with the next generation of pathologistsAn open source automated tumor infiltrating lymphocyte algorithm for prognosis in melanomaDigital quantitative assessment of PD-L1 using digital spatial profilingBiomarkers associated with beneficial PD-1 checkpoint blockade in non-small-cell lung cancer (NSCLC) identified using high-plex digital spatial profilingProspective multi-institutional evaluation of pathologist assessment of PD-L1 assays for patient selection in triple negative breast cancerSiglec-15 as an immune suppressor and potential target for normalization cancer immunotherapyMultiplex quantitative analysis of cancer-associated fibroblasts and immunotherapy outcome in metastatic melanoma"Interchangeability" of PD-L1 immunohistochemistry assays: a meta-analysis of diagnostic accuracyArtificial intelligence in digital pathology - new tools for diagnosis and precision oncologyQuantitative assessment of PD-L1 as an analyte in immunohistochemistry diagnostic assays using a standardized cell line tissue microarrayQuantitative assessments and clinical outcomes in HER2 equivocal 2018 ASCO/CAP ISH group 4 breast cancerReport on computational assessment of Tumor Infiltrating Lymphocytes from the International Immuno-Oncology Biomarker Working GroupPitfalls in assessing stromal tumor infiltrating lymphocytes (sTILs) in breast cancerThe Society for Immunotherapy in Cancer statement on best practices for multiplex immunohistochemistry (IHC) and immunofluorescence (IF) staining and validationApplication of a risk-management framework for integration of stromal tumor-infiltrating lymphocytes in clinical trials
P50
Q89668749-614AB899-5962-4A33-9D46-7F1F21E053DAQ90166635-708C782F-77EB-4615-B9C2-BFBD92CA93D4Q90284219-495D99E1-6108-4ABE-8873-F1E6A4B5EA34Q91558300-EAEBB329-FF50-4010-AA6B-B71D2120650FQ91583877-311A6377-DFDB-4951-9488-30F27B3AC178Q91610097-E58961C3-A05B-4F6E-AA47-C060E762D833Q91999916-9F4B5687-C104-44DA-AD7E-15A7A9390BFAQ92129128-B6589960-E1C3-4EAE-9DF8-1C7E2E18EAA4Q92132013-0114A371-14A4-404B-80A3-97C686701018Q92432344-321D9D53-A36C-4F28-A258-559CDEA1DA28Q92535174-5835635E-4865-431B-9DF8-B906FBD6D439Q92603151-38E2C631-CB09-41B5-AC34-2D1B65A80C82Q93089134-9F3DA811-361C-4D03-8A54-3468D03D818DQ94927801-9EF1DE80-3CB3-423B-95D9-F25A5F9D482DQ94927810-7D73DE62-CB20-4034-82C2-B8E925D44F69Q94947794-4B4FCFCF-E0AD-4A99-BCB2-22229517DC2BQ95285998-819684E7-E929-4D71-AE8C-79DA660CB508
P50
description
researcher
@en
wetenschapper
@nl
name
David L Rimm
@en
David L Rimm
@nl
type
label
David L Rimm
@en
David L Rimm
@nl
prefLabel
David L Rimm
@en
David L Rimm
@nl
P108
P31
P496
0000-0001-5820-4397