{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["15(3)"],"submitter":["Yao B"],"journal":["Journal of Cancer"],"pagination":["737-746"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10777045"],"repository":["biostudies-literature"],"pubmed_title":["A Novel Model Using Serum Thymidine Kinase 1 and Low-dose Computed Tomography Parameters to Predict Three-year Lung Cancer Risk in People with Pulmonary Nodules: A Retrospective Study"],"pmcid":["PMC10777045"],"pubmed_authors":["He E","Li X","Li J","Hong H","Huang X","Skog S","Yao B","Zhang M","Wang H","Wu F","Zhou J"],"additional_accession":[]},"is_claimable":false,"name":"A Novel Model Using Serum Thymidine Kinase 1 and Low-dose Computed Tomography Parameters to Predict Three-year Lung Cancer Risk in People with Pulmonary Nodules: A Retrospective Study","description":null,"dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Jan","modification":"2025-04-22T18:15:08.062Z","creation":"2024-12-04T13:28:38.394Z"},"accession":"S-EPMC10777045","cross_references":{}}