Optimizing metabolic health with digital twins.
A hallmark of subclinical metabolic decline is impaired metabolic flexibility, which refers to the ability to switch fuel utilization between glucose and fat according to energy demand and substrate availability. Herein, we propose optimizing metabolic health with digital twins that model an individ...
| Publicado en: | NPJ Aging Vol. 11; no. 1; pp. 1 - 11 |
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| Autores principales: | , , , |
| Formato: | pictorial review tables/charts Journal Article |
| Publicado: |
Springer Nature
3/24/2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=183973495&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 183973495 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 27316068 N5IE jtl: NPJ Aging issn: 27316068 maglogo: N pubinfo: dt: 3/24/2025 vid: 11 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 183973495 183973495 183973495 10.1038/s41514-025-00211-6 183973495 ppf: 1 ppct: 10 formats: tig: atl: Optimizing metabolic health with digital twins. aug: au: Su, Chengxun Wang, Peter Foo, Nigel Ho, Dean affil: https://ror.org/01tgyzw49 The Institute for Digital Medicine (WisDM), National University of Singapore, Singapore, Singapore sug: subj: Metabolic Diseases Diagnosis Digital Health Economics Wearable Sensors Economics Metabolic Diseases Prevention and Control Early Diagnosis Cardiometabolic Risk Factors Prevention and Control Community Health Services Decision Making, Clinical Healthy Aging Socioeconomic Factors Public Health Health Promotion ab: A hallmark of subclinical metabolic decline is impaired metabolic flexibility, which refers to the ability to switch fuel utilization between glucose and fat according to energy demand and substrate availability. Herein, we propose optimizing metabolic health with digital twins that model an individual's metabolic flexibility profile to gamify the process of health optimization and predict long-term health outcomes. We explore key characteristics of this approach from technological and socioeconomical perspectives, with the objective of reducing the burden from metabolic disorders through driving behavior change and early detection of metabolic decline. pubtype: Academic Journal doctype: pictorial review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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