AI drives the assessment of lung cancer microenvironment composition

• मुख्य लेखकों: Enzo Gallo (लेखक), Davide Guardiani (लेखक), Martina Betti (लेखक), Brindusa Ana Maria Arteni (लेखक), Simona Di Martino (लेखक), Sara Baldinelli (लेखक), Theodora Daralioti (लेखक), Elisabetta Merenda (लेखक), Andrea Ascione (लेखक), Paolo Visca (लेखक), Edoardo Pescarmona (लेखक), Marialuisa Lavitrano (लेखक), Paola Nisticò (लेखक), Gennaro Ciliberto (लेखक), Matteo Pallocca (लेखक)
• स्वरूप: पुस्तक
• प्रकाशित: Elsevier, 2024-12-01T00:00:00Z.
• विषय: article
• ऑनलाइन पहुंच: 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...