Digital twins for well-being: an overview

From National Research Council Canada

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DOI	Resolve DOI: https://doi.org/10.12688/digitaltwin.17475.1
Author	Search for: Fardousi, Rahatara ORCID identifier: https://orcid.org/0000-0003-1143-2370; Search for: Laamarti, Fedwa ORCID identifier: https://orcid.org/0000-0002-0338-9264; Search for: Hossain, M. Anwar ORCID identifier: https://orcid.org/0000-0002-7673-8410; Search for: Yang, Chunsheng¹; Search for: El Saddik, Abdulmotaleb ORCID identifier: https://orcid.org/0000-0002-7690-8547
Affiliation	National Research Council Canada. Digital Technologies
Format	Text, Article
Physical description	8 p.
Subject	digital twin; Internet of Things; CPS; healthcare; AI; machine learning; well-being
Abstract	Digital twin (DT) has gained success in various industries, and it is now getting attention in the healthcare industry in the form of well-being digital twin (WDT). In this paper, we present an overview of WDT to understand its potential scope, architecture and impact. We then discuss the definition and the benefits of WDT. After that, we present the evolution of DT frameworks. Subsequently we discuss the challenges, the different types, the drawbacks, and potential application areas of WDT. Finally we present the requirements for a WDT framework extracted from the literature.
Publication date	2021-10-21
Publisher	F1000Research
Licence	Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/
In	Digital Twin 1 (21 October 2021).
Language	English
Peer reviewed	Yes
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Record identifier	d364e20c-3bca-411d-a676-b8bfc3ac062e
Record created	2021-11-15
Record modified	2021-11-16

Date modified:: 2025-12-14