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Aaron M Gruver

Showing results (21-30 of 33) with videos related to

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Laboratory Investigation; a Journal of Technical Methods and Pathology|March 4, 2023
Targeted Quantitative Mass Spectrometry Analysis of Protein Biomarkers From Previously Stained Single Formalin-Fixed Paraffin-Embedded Tissue SectionsBradley L Ackermann, Ryan D Morrison, Salisha Hill, et al.
Diagnostic Pathology|November 11, 2023
Pathologist-trained machine learning classifiers developed to quantitate celiac disease features differentiate endoscopic biopsies according to modified marsh score and dietary intervention responseAaron M Gruver, Haiyan Lu, Xiaoxian Zhao, et al.
Applied Immunohistochemistry & Molecular Morphology : AIMM|April 6, 2022
A Standardized Investigational Ki-67 Immunohistochemistry Assay Used to Assess High-Risk Early Breast Cancer Patients in the monarchE Phase 3 Clinical Study Identifies a Population With Greater Risk of Disease Recurrence When Treated With Endocrine Therapy AloneMonika D Polewski, Gitte B Nielsen, Ying Gu, et al.
Scientific Reports|December 2, 2024
A feasibility study using quantitative and interpretable histological analyses of celiac disease for automated cell type and tissue area classificationMichael Griffin, Aaron M Gruver, Chintan Shah, et al.
Journal of Clinical Pathology|August 6, 2021
Proteomic characterisations of ulcerative colitis endoscopic biopsies associate with clinically relevant histological measurements of disease severityAaron M Gruver, Matt D Westfall, Bradley L Ackermann, et al.
Laboratory Investigation; a Journal of Technical Methods and Pathology|January 4, 2020
Accelerated instability testing reveals quantitative mass spectrometry overcomes specimen storage limitations associated with PD-L1 immunohistochemistryAlexander Haragan, Daniel C Liebler, Dimple M Das, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|June 14, 2025
Analytical Comparison of Commonly Used Laboratory-Developed Tests for the Assessment of Ki-67 in Breast Carcinoma With an FDA-Approved BenchmarkSunil Badve, Jason S White, Francisco Sapunar, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|December 21, 2019
MET ectodomain shedding is associated with poor disease-free survival of patients diagnosed with oral squamous cell carcinomaMaria J De Herdt, Senada Koljenović, Berdine van der Steen, et al.
Journal of Neuropathology and Experimental Neurology|September 19, 2025
Convolutional neural network-derived neurofibrillary tangle classifiers: Investigative tools to identify maturation levels and explore post-translational modifications using laser capture microdissection coupled mass spectrometryCouger Jimenez Jaramillo, Drew Nedderman, Erpan Ahat, et al.
Human Pathology|July 24, 2020
A novel immunohistochemical scoring system reveals associations of C-terminal MET, ectodomain shedding, and loss of E-cadherin with poor prognosis in oral squamous cell carcinomaMaria J De Herdt, Senada Koljenović, Berdine van der Steen, et al.
Pageof 4

Showing results (21-30 of 33) with videos related to

Sort By:
Pageof 4
Laboratory Investigation; a Journal of Technical Methods and Pathology|March 4, 2023
Targeted Quantitative Mass Spectrometry Analysis of Protein Biomarkers From Previously Stained Single Formalin-Fixed Paraffin-Embedded Tissue SectionsBradley L Ackermann, Ryan D Morrison, Salisha Hill, et al.
Diagnostic Pathology|November 11, 2023
Pathologist-trained machine learning classifiers developed to quantitate celiac disease features differentiate endoscopic biopsies according to modified marsh score and dietary intervention responseAaron M Gruver, Haiyan Lu, Xiaoxian Zhao, et al.
Applied Immunohistochemistry & Molecular Morphology : AIMM|April 6, 2022
A Standardized Investigational Ki-67 Immunohistochemistry Assay Used to Assess High-Risk Early Breast Cancer Patients in the monarchE Phase 3 Clinical Study Identifies a Population With Greater Risk of Disease Recurrence When Treated With Endocrine Therapy AloneMonika D Polewski, Gitte B Nielsen, Ying Gu, et al.
Scientific Reports|December 2, 2024
A feasibility study using quantitative and interpretable histological analyses of celiac disease for automated cell type and tissue area classificationMichael Griffin, Aaron M Gruver, Chintan Shah, et al.
Journal of Clinical Pathology|August 6, 2021
Proteomic characterisations of ulcerative colitis endoscopic biopsies associate with clinically relevant histological measurements of disease severityAaron M Gruver, Matt D Westfall, Bradley L Ackermann, et al.
Laboratory Investigation; a Journal of Technical Methods and Pathology|January 4, 2020
Accelerated instability testing reveals quantitative mass spectrometry overcomes specimen storage limitations associated with PD-L1 immunohistochemistryAlexander Haragan, Daniel C Liebler, Dimple M Das, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|June 14, 2025
Analytical Comparison of Commonly Used Laboratory-Developed Tests for the Assessment of Ki-67 in Breast Carcinoma With an FDA-Approved BenchmarkSunil Badve, Jason S White, Francisco Sapunar, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|December 21, 2019
MET ectodomain shedding is associated with poor disease-free survival of patients diagnosed with oral squamous cell carcinomaMaria J De Herdt, Senada Koljenović, Berdine van der Steen, et al.
Journal of Neuropathology and Experimental Neurology|September 19, 2025
Convolutional neural network-derived neurofibrillary tangle classifiers: Investigative tools to identify maturation levels and explore post-translational modifications using laser capture microdissection coupled mass spectrometryCouger Jimenez Jaramillo, Drew Nedderman, Erpan Ahat, et al.
Human Pathology|July 24, 2020
A novel immunohistochemical scoring system reveals associations of C-terminal MET, ectodomain shedding, and loss of E-cadherin with poor prognosis in oral squamous cell carcinomaMaria J De Herdt, Senada Koljenović, Berdine van der Steen, et al.
Pageof 4