AI drives the assessment of lung cancer microenvironment composition.

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Bibliographic Details
Title: AI drives the assessment of lung cancer microenvironment composition.
Authors: Gallo E; Department of Pathology, IRCCS Regina Elena National Cancer Institute, Rome, Italy., Guardiani D; Department of Pathology, IRCCS Regina Elena National Cancer Institute, Rome, Italy., Betti M; Biostatistics, Bioinformatics and Clinical Trial Center, IRCCS Regina Elena National Cancer Institute, Rome, Italy.; Department of Computer, Control and Management Engineering, La Sapienza University of Rome, Rome, Italy., Arteni BAM; UOC Anatomy Pathology, Biobank IRCCS Regina Elena National Cancer Institute, Istituti Fisioterapici, Ospitalieri IFO, Rome, Italy., Di Martino S; UOC Anatomy Pathology, Biobank IRCCS Regina Elena National Cancer Institute, Istituti Fisioterapici, Ospitalieri IFO, Rome, Italy., Baldinelli S; Biostatistics, Bioinformatics and Clinical Trial Center, IRCCS Regina Elena National Cancer Institute, Rome, Italy., Daralioti T; Department of Pathology, IRCCS Regina Elena National Cancer Institute, Rome, Italy., Merenda E; Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Policlinico Umberto I, Rome, Italy., Ascione A; Department of Experimental Medicine, Sapienza University of Rome, Policlinico Umberto I, Rome, Italy., Visca P; Department of Pathology, IRCCS Regina Elena National Cancer Institute, Rome, Italy., Pescarmona E; Department of Pathology, IRCCS Regina Elena National Cancer Institute, Rome, Italy., Lavitrano M; School of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy., Nisticò P; Tumor Immunology and Immunotherapy Unit, IRCCS Regina Elena National Cancer Institute, Rome, Italy., Ciliberto G; Scientific Direction, IRCCS Regina Elena National Cancer Institute, Rome, Italy., Pallocca M; Institute of Experimental Endocrinology and Oncology, National Research Council, Naples, Italy.
Source: Journal of pathology informatics [J Pathol Inform] 2024 Sep 30; Vol. 15, pp. 100400. Date of Electronic Publication: 2024 Sep 30 (Print Publication: 2024).
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Inc Country of Publication: United States NLM ID: 101528849 Publication Model: eCollection Cited Medium: Print ISSN: 2229-5089 (Print) NLM ISO Abbreviation: J Pathol Inform Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2229-5089
DOI:10.1016/j.jpi.2024.100400