Papers
2
Total Citations
5
H-Index
2
About
P Devanand is at the forefront of computational pathology and multi-modal imaging, with a primary research focus on large-scale cancer tissue analysis and tumor microenvironment (TME) characterization. Their major contributions center on developing and applying advanced image analysis pipelines for multiplexed imaging data, enabling the integrated immunoprofiling of thousands of patients within the IMMUcan consortium. This work is pivotal for understanding how tissue architecture and immune cell interactions correlate with patient prognosis. By moving beyond small patient cohorts and tissue micro-arrays, Devanand’s research facilitates the study of cancer at an unprecedented scale, bridging the gap between complex imaging data and clinical outcomes. Their most-cited papers, including "Multi-modal image analysis for large scale cancer tissue studies within IMMUcan" (2025, 3 citations), highlight the early but significant impact of their methodological innovations. This foundational work is already shaping how researchers approach the analysis of the tumor microenvironment, promising to unlock new biomarkers and therapeutic targets in oncology.
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Top Papers
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