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Translational Bioinformatics: Integrating Electronic Health Record and Omics Data

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dc.contributor.authorKim, Dokyoon-
dc.contributor.authorKim, Ju Han-
dc.contributor.authorMoore, Jason H.-
dc.date.accessioned2022-10-05T04:11:11Z-
dc.date.available2022-10-05T04:11:11Z-
dc.date.created2022-07-22-
dc.date.issued2021-
dc.identifier.citationPACIFIC SYMPOSIUM ON BICOMPUTING 2021, pp.356-359-
dc.identifier.urihttps://hdl.handle.net/10371/185325-
dc.description.abstractTranslational bioinformatics (TBI) is focused on the integration of biomedical data science and informatics. This combination is extremely powerful for scientific discovery as well as translation into clinical practice. Several topics where TBI research is at the leading edge are 1) the clinical utility of polygenic risk scores, 2) data integration, and 3) artificial intelligence and machine learning. This perspective discusses these three topics and points to the important elements for driving precision medicine into the future.-
dc.language영어-
dc.publisherWORLD SCIENTIFIC PUBL CO PTE LTD-
dc.titleTranslational Bioinformatics: Integrating Electronic Health Record and Omics Data-
dc.typeArticle-
dc.citation.journaltitlePACIFIC SYMPOSIUM ON BICOMPUTING 2021-
dc.identifier.wosid000759784400036-
dc.identifier.scopusid2-s2.0-85102824840-
dc.citation.endpage359-
dc.citation.startpage356-
dc.description.isOpenAccessN-
dc.contributor.affiliatedAuthorKim, Ju Han-
dc.type.docTypeProceedings Paper-
dc.description.journalClass1-
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