Thijmen W Hokken, Joana M Ribeiro, Peter P De Jaegere, Nicolas M Van Mieghem
{"title":"Precision Medicine in Interventional Cardiology.","authors":"Thijmen W Hokken, Joana M Ribeiro, Peter P De Jaegere, Nicolas M Van Mieghem","doi":"10.15420/icr.2019.23","DOIUrl":null,"url":null,"abstract":"<p><p>Precision medicine has recently become widely advocated. It revolves around the individual patient, taking into account genetic, biomarker, phenotypic or psychosocial characteristics and uses biological, mechanical and/or personal variables to optimise individual therapy. <i>In silico</i> testing, such as the Virtual Physiological Human project, is being promoted to predict risk and to test treatments and medical devices. It combines artificial intelligence and computational modelling to select the best therapeutic option for the individual patient.</p>","PeriodicalId":38586,"journal":{"name":"Interventional Cardiology Review","volume":"15 ","pages":"e03"},"PeriodicalIF":0.2000,"publicationDate":"2020-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/7c/72/icr-15-e03.PMC7203877.pdf","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Interventional Cardiology Review","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15420/icr.2019.23","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2020/4/1 0:00:00","PubModel":"eCollection","JCR":"0","JCRName":"PHILOSOPHY","Score":null,"Total":0}
引用次数: 6
Abstract
Precision medicine has recently become widely advocated. It revolves around the individual patient, taking into account genetic, biomarker, phenotypic or psychosocial characteristics and uses biological, mechanical and/or personal variables to optimise individual therapy. In silico testing, such as the Virtual Physiological Human project, is being promoted to predict risk and to test treatments and medical devices. It combines artificial intelligence and computational modelling to select the best therapeutic option for the individual patient.
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