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Cited by 233Digital Transformation in IndustryInternet of Things and AIApplied Advanced Technologies

Is Human Digital Twin possible?

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Shengli, Wei·2021·Computer Methods and Programs in Biomedicine Update
DOI 10.1016/j.cmpbup.2021.100014
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Abstract

While Digital Twin finds its applications in many fields, mainly in advanced manufacturing, PLM (Product Lifecycle Management), and smart healthcare, attempt of using Digital Twin in full lifecycle management of human being is discussed. The concept of Augmented Digital Twin is put forward as the basis of the concept of Human Digital Twin (HDT), which is the core idea of the paper. With the experiences of Digital Twin application in smart manufacturing, PLM and smart healthcare, and the development of other related technologies such as Data Mining, Data Fusion Analysis, Artificial Intelligence, especially Deep Learning and Human Computer Science, a conclusion can be drawn naturally, that HDT is an enabling way of full lifecycle health management and it is possible to construct Human Digital Twin, particularly from the technology view. Comparison between Digital Twin and Human Digital Twin demonstrates the possibility. The concept, conceptual model and characteristics of HDT are presented for preparation of its construction. How to construct Human Digital Twin is discussed by proposing Human Digital Twin System Architecture and Implementation Approach. Also, it is pointed out that there will be a long way to go because of not only its extreme complexity, but also so many aspects being involved, especially the security and social ethics problem.

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  • Humans, if seen as models, are not independent from one another; genetics, heredity and culture might play a role in determining differences in specific human features.

    “Another one is that humans, if seen as models, are not independent from one another.Factors such as genetics, heredity and even culture might play a role in determining differences in specific human features [51].”

    From Digital Twin Technology Challenges and Applications: A Comprehensive Review (2022) · cites this paper as [51]

    Sections 4.2–4.3 say relatives share inherited genes and that people with consanguinity may have similar characteristics; section 5.2 says human digital twin models must account for heredity and variation. The paper also discusses social and environmental influences, but our copy does not specifically say that culture determines differences in human features. (LLM, conf=0.83)

    Experimental — accuracy not yet measured

  • A major challenge of the human digital twin is that some human traits, such as thinking, reactions and behavior, can be unpredictable because humans are more complex than manufacturing processes.

    “One of the biggest challenges of the HDT is that although some variables can be monitored to infer certain threats, other human traits, such as thinking, reactions and behavior, can be, to some extent, unpredictable, because humans are more complex than manufacturing processes.”

    From Digital Twin Technology Challenges and Applications: A Comprehensive Review (2022) · cites this paper as [51]

  • Implementations of digital twins in medicine have recently started to be reported in the literature.

    “Implementations of DTs in medicine have recently started to be reported in the literature [51].”

    From Digital Twin Technology Challenges and Applications: A Comprehensive Review (2022) · cites this paper as [51]

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Research works printed but not linked: 40

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Cited by

Sorted by citations

Authors
Shengli, W.
Venue
Computer Methods and Programs in Biomedicine Update
Publisher
Elsevier BV
Published
2021
Volume
1
Pages
100014
ISSN
2666-9900 (ISSN-L)
DOI
10.1016/j.cmpbup.2021.100014
OpenAlex
W3164089829
Cited by
233
References
6
Citations by year
2026: 24 · 2025: 66 · 2024: 60 · 2023: 51 · 2022: 23 · 2021: 9
FWCI
18.50
Type
journal article
Language
en
Open access
Licence
Locations
  • Computer Methods and Programs in Biomedicine Update (publishedVersion, cc-by-nc-nd)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
  • Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
  • Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Applied Advanced Technologies
Keywords
human digital twin, digital twin, data fusion, deep learning, product lifecycle management, smart healthcare, smart manufacturing

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