<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>321(8)</volume><submitter>Mandl KD</submitter><funding>National Heart, Lung, and Blood Institute</funding><funding>NHLBI NIH HHS</funding><funding>National Institute of General Medical Sciences</funding><funding>NIGMS NIH HHS</funding><journal>JAMA</journal><pagination>739-740</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC7572222</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Potential Excessive Testing at Scale: Biomarkers, Genomics, and Machine Learning.</pubmed_title><pmcid>PMC7572222</pmcid><funding_grant_id>K01 HL138259</funding_grant_id><funding_grant_id>R01 GM104303</funding_grant_id><pubmed_authors>Mandl KD</pubmed_authors><pubmed_authors>Manrai AK</pubmed_authors></additional><is_claimable>false</is_claimable><name>Potential Excessive Testing at Scale: Biomarkers, Genomics, and Machine Learning.</name><description/><dates><release>2019-01-01T00:00:00Z</release><publication>2019 Feb</publication><modification>2025-04-04T01:39:12.528Z</modification><creation>2025-04-04T01:39:12.528Z</creation></dates><accession>S-EPMC7572222</accession><cross_references><pubmed>30735228</pubmed><doi>10.1001/jama.2019.0286</doi></cross_references></HashMap>