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Assessment of image-based computational pathology biomarkers in the spatial context of tissue microenvironment goes beyond human cognitive capacity in current pathology practice. Extraction and measurement of subvisual features of intra-tumoural heterogeneity, tumour-host interaction, tissue microarchitecture and compartments enable data-driven computational disease management models in pathology. For clinical adoption, standard workflows still need to be established, along with proper analytic and clinical validation steps.
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