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Get Free AccessLeveraging artificial intelligence-powered H&E analysis integrated with hi-plex imaging mass cytometry provides insights into the tumor ecosystem and can translate tumor features into classifiers to predict prognosis, genotype, and therapy response.
Alessandra Rigamonti, Marika Viatore, Rebecca Polidori, Daoud Rahal, Marco Erreni, Maria Rita Fumagalli, Damiano Zanini, Andrea Doni, Anna Rita Putignano, Paola Bossi, Emanuele Voulaz, Marco Alloisio, Sabrina Rossi, Paolo Andrea Zucali, Armando Santoro, Vittoria Balzano, Paola Nisticò, Friedrich Feuerhake, Alberto Mantovani, Massimo Locati, Federica Marchesi (2024). Integrating AI-Powered Digital Pathology and Imaging Mass Cytometry Identifies Key Classifiers of Tumor Cells, Stroma, and Immune Cells in Non–Small Cell Lung Cancer. , 84(7), DOI: https://doi.org/10.1158/0008-5472.can-23-1698.
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Type
Article
Year
2024
Authors
21
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1158/0008-5472.can-23-1698
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