<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>5(2)</volume><submitter>Gibson C</submitter><journal>JACC. Advances</journal><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12948610</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Bayesian Machine Learning Model Guiding Iterative, Personalized Anticoagulant Dosing Decision-Making : ENGAGE AF-TIMI 48 Trial Analysis</pubmed_title><pmcid>PMC12948610</pmcid><pubmed_authors>Gibson C</pubmed_authors><pubmed_authors>Antman E</pubmed_authors><pubmed_authors>Unverdorben M</pubmed_authors><pubmed_authors>Timonen J</pubmed_authors><pubmed_authors>Giugliano R</pubmed_authors><pubmed_authors>Braunwald E</pubmed_authors><pubmed_authors>Clasen M</pubmed_authors><pubmed_authors>Fronk E</pubmed_authors><pubmed_authors>Chen C</pubmed_authors><pubmed_authors>Novik E</pubmed_authors><pubmed_authors>Buros-Novik J</pubmed_authors></additional><is_claimable>false</is_claimable><name>Bayesian Machine Learning Model Guiding Iterative, Personalized Anticoagulant Dosing Decision-Making : ENGAGE AF-TIMI 48 Trial Analysis</name><description/><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Dec</publication><modification>2026-07-12T03:17:27.072Z</modification><creation>2026-07-12T03:11:24.887Z</creation></dates><accession>S-EPMC12948610</accession><cross_references/></HashMap>