{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["16(1)"],"submitter":["Li A"],"funding":["Key Clinical Projects of Affiliated Hospital of Guangdong Medical University","Supported Projects of Zhanjiang"],"journal":["Scientific reports"],"pagination":["7006"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12920713"],"repository":["biostudies-literature"],"pubmed_title":["Automated quantification of tumor-infiltrating lymphocytes by machine learning reveals prognostic and immunogenomic features in lung cancer."],"pmcid":["PMC12920713"],"funding_grant_id":["LCYJ2022DL003","2021A05076"],"pubmed_authors":["He Z","Chen J","Zhang H","Liang Z","Li F","Li A","Wu D","Pang Y","Lin L"],"additional_accession":[]},"is_claimable":false,"name":"Automated quantification of tumor-infiltrating lymphocytes by machine learning reveals prognostic and immunogenomic features in lung cancer.","description":null,"dates":{"release":"2026-01-01T00:00:00Z","publication":"2026 Feb","modification":"2026-07-16T12:22:51.027Z","creation":"2026-07-09T10:55:24.12Z"},"accession":"S-EPMC12920713","cross_references":{"pubmed":["41629429"],"doi":["10.1038/s41598-026-37076-y"]}}