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.

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 Nistico Friedrich Feuerhake Alberto Mantovani Massimo Locati Federica Marchesi

Published in: Cancer research (2024)

Leveraging 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.

Keyphrases

artificial intelligence
machine learning
high resolution
big data
deep learning
single cell
climate change
genome wide
mass spectrometry
bone marrow
human health
mesenchymal stem cells
photodynamic therapy
cell therapy