{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["105(3)"],"submitter":["Gui Y"],"funding":["Guangxi Natural Science Foundation","Self-financing Scientific Research Subject of Guangxi Health Department","Open Project of NHC Key Laboratory of Thalassemia Medicine"],"journal":["Annals of hematology"],"pagination":["112"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12904909"],"repository":["biostudies-literature"],"pubmed_title":["Machine learning and AI-Assisted red blood cell morphology analysis for effective thalassemia screening."],"pmcid":["PMC12904909"],"funding_grant_id":["Z-A20220420","2023GXNSFDA026058","GJWJWDP202210"],"pubmed_authors":["Zhang F","Chen W","Liu Q","Gui Y","Su Y","Zhao J","Qin C"],"additional_accession":[]},"is_claimable":false,"name":"Machine learning and AI-Assisted red blood cell morphology analysis for effective thalassemia screening.","description":null,"dates":{"release":"2026-01-01T00:00:00Z","publication":"2026 Feb","modification":"2026-07-09T12:26:57.99Z","creation":"2026-07-09T11:17:41.874Z"},"accession":"S-EPMC12904909","cross_references":{"pubmed":["41686242"],"doi":["10.1007/s00277-026-06860-1"]}}