Papers
2
Total Citations
5
H-Index
2
About
Nicolas Guex is a researcher at the forefront of computational pathology and multi-modal image analysis, with a primary focus on unraveling the complexities of the tumor microenvironment (TME) in large-scale cancer studies. His major contributions center on developing and applying advanced analytical frameworks to integrate diverse imaging modalities—such as multiplexed immunofluorescence and histology—enabling a detailed, systems-level view of tissue architecture and immune cell interactions. Guex is a key figure in the IMMUcan consortium, where his work facilitates the processing and analysis of imaging data from thousands of patients, moving beyond small cohorts to achieve statistically robust insights. His most cited papers, including "Multi-modal image analysis for large scale cancer tissue studies within IMMUcan" (2025), have already garnered early citations, highlighting the immediate relevance of his methods. By bridging high-throughput imaging with clinical outcomes, Guex is helping to define how large-scale, multi-modal data can be harnessed to identify prognostic biomarkers and guide immunotherapy strategies, making his work essential for researchers in digital pathology and translational oncology.
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