<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>16(1)</volume><submitter>Chong VY</submitter><journal>Scientific reports</journal><pagination>3646</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12847896</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Early diagnosis of nasopharyngeal carcinoma based on machine learning modelling and blood plasma metallomics analysis.</pubmed_title><pmcid>PMC12847896</pmcid><pubmed_authors>Leung KS</pubmed_authors><pubmed_authors>Chan YN</pubmed_authors><pubmed_authors>Chun KH</pubmed_authors><pubmed_authors>Lum JT</pubmed_authors><pubmed_authors>Gao H</pubmed_authors><pubmed_authors>Lung HL</pubmed_authors><pubmed_authors>Chong VY</pubmed_authors></additional><is_claimable>false</is_claimable><name>Early diagnosis of nasopharyngeal carcinoma based on machine learning modelling and blood plasma metallomics analysis.</name><description/><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Dec</publication><modification>2026-06-13T06:29:25.841Z</modification><creation>2026-06-13T03:12:19.153Z</creation></dates><accession>S-EPMC12847896</accession><cross_references><pubmed>41466047</pubmed><doi>10.1038/s41598-025-33760-7</doi></cross_references></HashMap>