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Modeling spatial heterogeneity of the tumor microenvironment

Combining spatial single-cell omics with AI to model the complexity of the tumor micorenvironment and enable novel spatial biomarker discovery.

Overview

Tumors are spatially heterogeneous ecosystems, where multiple cancer cells coexist with cells of the tumor microenvironment, notably immune and stromal cells. Recently, spatial single-cell omics enable the deep phenotypic profiling of each cell while preserving the tumor architecture, opening new avenues for understanding the role of spatial heterogeneity in disease. Our team is working on combining spatial single-cell omics with artificial intelligence to model the complexity of the tumor micorenvironment and enable novel spatial biomarker discovery.

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Publications

Contributors

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