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Nic Gabriel Reitsam

Showing results (1-10 of 8) with videos related to

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Frontiers in Oncology|November 17, 2022
Concurrent loss of MLH1, PMS2 and MSH6 immunoexpression in digestive system cancers indicating a widespread dysregulation in DNA repair processesNic Gabriel Reitsam, Bruno Märkl, Sebastian Dintner, et al.
Digestion|June 12, 2024
Artificial Intelligence in Colorectal Cancer: From Patient Screening over Tailoring Treatment Decisions to Identification of Novel BiomarkersNic Gabriel Reitsam, Johanna Sophie Enke, Kien Vu Trung, et al.
NPJ Precision Oncology|July 3, 2026
Mutation enrichment in targeted panels flags immunotherapy-responsive POLE-driven hypermutated microsatellite-stable colorectal cancersNic Gabriel Reitsam, Kathrin Anna Schneider, Bianca Grosser, et al.
Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology|June 18, 2026
Energy Balance-Related Factors and Direct Tumor-Adipocyte Contact in Colorectal Cancer: Etiology Insights from the Population-Based Netherlands Cohort StudyKelly Offermans, Nic Gabriel Reitsam, Bianca Grosser, et al.
NPJ Precision Oncology|May 23, 2024
Deep learning for dual detection of microsatellite instability and POLE mutations in colorectal cancer histopathologyMarco Gustav, Nic Gabriel Reitsam, Zunamys I Carrero, et al.
Cancer Research|June 17, 2026
Counterfactual Diffusion Models Provide Interpretable Explanations of Artificial Intelligence Models in PathologyLaura Žigutytė, Tim Lenz, Tianyu Han, et al.
Nature Communications|August 14, 2025
HIBRID: histology-based risk-stratification with deep learning and ctDNA in colorectal cancerChiara M L Loeffler, Hideaki Bando, Srividhya Sainath, et al.
Cancer Cell|June 11, 2026
Spatial biomarker discovery via interpretable semantic learning in histopathologyJunhao Liang, Xiaofeng Jiang, Nic Gabriel Reitsam, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Frontiers in Oncology|November 17, 2022
Concurrent loss of MLH1, PMS2 and MSH6 immunoexpression in digestive system cancers indicating a widespread dysregulation in DNA repair processesNic Gabriel Reitsam, Bruno Märkl, Sebastian Dintner, et al.
Digestion|June 12, 2024
Artificial Intelligence in Colorectal Cancer: From Patient Screening over Tailoring Treatment Decisions to Identification of Novel BiomarkersNic Gabriel Reitsam, Johanna Sophie Enke, Kien Vu Trung, et al.
NPJ Precision Oncology|July 3, 2026
Mutation enrichment in targeted panels flags immunotherapy-responsive POLE-driven hypermutated microsatellite-stable colorectal cancersNic Gabriel Reitsam, Kathrin Anna Schneider, Bianca Grosser, et al.
Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology|June 18, 2026
Energy Balance-Related Factors and Direct Tumor-Adipocyte Contact in Colorectal Cancer: Etiology Insights from the Population-Based Netherlands Cohort StudyKelly Offermans, Nic Gabriel Reitsam, Bianca Grosser, et al.
NPJ Precision Oncology|May 23, 2024
Deep learning for dual detection of microsatellite instability and POLE mutations in colorectal cancer histopathologyMarco Gustav, Nic Gabriel Reitsam, Zunamys I Carrero, et al.
Cancer Research|June 17, 2026
Counterfactual Diffusion Models Provide Interpretable Explanations of Artificial Intelligence Models in PathologyLaura Žigutytė, Tim Lenz, Tianyu Han, et al.
Nature Communications|August 14, 2025
HIBRID: histology-based risk-stratification with deep learning and ctDNA in colorectal cancerChiara M L Loeffler, Hideaki Bando, Srividhya Sainath, et al.
Cancer Cell|June 11, 2026
Spatial biomarker discovery via interpretable semantic learning in histopathologyJunhao Liang, Xiaofeng Jiang, Nic Gabriel Reitsam, et al.
Pageof 1