Mohammadreza Azimi
Riga, RIX, Latvia
Last Updated: 09/26/2026
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Found 9 publications
A neural network model delivers a highly prognostic protein signature in cancer stem cells that identifies relapse in stage III colorectal cancer patients.
Journal: bioRxiv : the preprint server for biology
Published: February 06, 2026
Federated learning for multi-institutional AI in healthcare via digital pathology.
Journal: Biomedizinische Technik. Biomedical engineering
Published: December 09, 2025
Cell engulfment defines spatially distinct competitive metabolic niches associated with clinical outcomes in colorectal cancer.
Journal: Cell death and differentiation
Published: August 13, 2025
Multiplex analysis of colorectal cancer tissue describes the composition, cell biology and spatial effects of cell-in-cell events and identifies a T cell-dependent prognostic signature.
Journal: bioRxiv : the preprint server for biology
Published: August 12, 2025
High-Resolution Spatial Proteomics Characterises Colorectal Cancer Consensus Molecular Subtypes.
Journal: bioRxiv : the preprint server for biology
Published: July 14, 2025
Spatial Effects of Infiltrating T cells on Neighbouring Cancer Cells and Prognosis in Stage III CRC patients.
Journal: bioRxiv : the preprint server for biology
Published: February 14, 2024
Integrated multiplex analysis of cell death regulators in stage II colorectal cancer suggests patients with 'persister' cell profiles fail to benefit from adjuvant chemotherapy.
Journal: BMJ oncology
Published: February 12, 2024
Spatial effects of infiltrating T cells on neighbouring cancer cells and prognosis in stage III CRC patients.
Journal: The Journal of pathology
Published: January 29, 2024
Showing 1-9 of 9
Last Updated: 09/26/2026