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Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
Published on: July 11, 2025
Explaining the dynamics of tumor aggressiveness: At the crossroads between biology, artificial intelligence and
Caterina A M La Porta1, Stefano Zapperi2
1Center for Complexity and Biosystems, University of Milan, via Celoria 16, 20133 Milano, Italy; Department of Environmental Science and Policy, University of Milan, via Celoria 26, 20133 Milano, Italy.
Abstract:
Facing metastasis is the most pressing challenge of cancer research. In this review, we discuss recent advances in understanding phenotypic plasticity of cancer cells, highlighting the kinetics of cancer stem cell and the role of the epithelial mesenchymal transition for metastasis. It appears that the tumor micro-environment plays a crucial role in triggering phenotypic transitions, as we illustrate discussing the challenges posed by macrophages and cancer associated fibroblasts. To disentangle the complexity of environmentally induced phenotypic transitions, there is a growing need for novel advanced algorithms as those proposed in our recent work combining single cell data analysis and numerical simulations of gene regulatory networks. We conclude discussing recent developments in artificial intelligence and its applications to personalized cancer treatment.
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