Digital Transformation in Personalized Medicine with Artificial Intelligence and the Internet of Medical Things

被引：36

作者：

Lin, Biaoyang ^{[1
,2
,3
]}

Wu, Shengjun ^{[4
]}

机构：

[1] Zhejiang Univ, Zhejiang Calif Int Nanosyst Inst ZCNI Proprium Re, Hangzhou 310058, Zhejiang, Peoples R China

[2] Zhejiang Univ, Sch Med, Affiliated Hosp 1, Collaborat Innovat Ctr Diag & Treatment Infect Di, Hangzhou, Peoples R China

[3] Univ Washington, Sch Med, Dept Urol, Seattle, WA 98195 USA

[4] Zhejiang Univ, Sch Med, Sir Run Run Shaw Hosp, Dept Clin Labs, Hangzhou, Peoples R China

来源：

OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY | 2022年 / 26卷 / 02期

关键词：

digital health; artificial intelligence; machine learning; deep phenotyping; Internet of Medical Things; personalized medicine; theranostics;

D O I：

10.1089/omi.2021.0037

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

Digital transformation is impacting every facet of science and society, not least because there is a growing need for digital services and products with the COVID-19 pandemic. But the need for digital transformation in diagnostics and personalized medicine field cuts deeper. In the past, personalized/precision medicine initiatives have been unable to capture the patients' experiences and clinical outcomes in real-time and in real-world settings. The availability of wearable smart sensors, wireless connectivity, artificial intelligence, and the Internet of Medical Things is changing the personalized/precision medicine research and implementation landscape. Digital transformation in poised to accelerate personalized/precision medicine and systems science in multiple fronts such as deep real-time phenotyping with patient-reported outcomes, high-throughput association studies between omics and highly granular phenotypic variation, digital clinical trials, among others. The present expert review offers an analysis of these systems science frontiers with a view to future applications at the intersection of digital health and personalized medicine, or put in other words, signaling the rise of "digital personalized medicine."

引用

页码：77 / 81

页数：5

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