AI drives the assessment of lung cancer microenvironment composition

• Main Authors: Enzo Gallo (Author), Davide Guardiani (Author), Martina Betti (Author), Brindusa Ana Maria Arteni (Author), Simona Di Martino (Author), Sara Baldinelli (Author), Theodora Daralioti (Author), Elisabetta Merenda (Author), Andrea Ascione (Author), Paolo Visca (Author), Edoardo Pescarmona (Author), Marialuisa Lavitrano (Author), Paola Nisticò (Author), Gennaro Ciliberto (Author), Matteo Pallocca (Author)
• Format: Bog
• Udgivet: Elsevier, 2024-12-01T00:00:00Z.
• Fag: article
• Online adgang: Connect to this object online.

Purpose: The abundance and distribution of tumor-infiltrating lymphocytes (TILs) as well as that of other components of the tumor microenvironment is of particular importance for predicting response to immunotherapy in lung cancer (LC). We describe here a pilot study employing artificial intelligenc...