Personal digital twin: A close look into the present and a step towards the future of personalised healthcare industry

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dc.contributor.authorSahal, Radhya
dc.contributor.authorAlsamhi, Saeed H.
dc.contributor.authorBrown, Kenneth N.
dc.contributor.funderScience Foundation Irelanden
dc.contributor.funderH2020 Marie Skłodowska-Curie Actionsen
dc.contributor.funderEuropean Regional Development Funden
dc.date.accessioned2023-01-18T15:44:16Z
dc.date.available2023-01-18T15:44:16Z
dc.date.issued2022-08-08
dc.description.abstractDigital twins (DTs) play a vital role in revolutionising the healthcare industry, leading to more personalised, intelligent, and proactive healthcare. With the evolution of personalised healthcare, there is a significant need to represent a virtual replica for individuals to provide the right type of care in the right way and at the right time. Therefore, in this paper, we surveyed the concept of a personal digital twin (PDT) as an enhanced version of the DT with actionable insight capabilities. In particular, PDT can bring value to patients by enabling more accurate decision making and proper treatment selection and optimisation. Then, we explored the progression of PDT as a revolutionary technology in healthcare research and industry. However, although several research works have been performed for smart healthcare using DT, PDT is still at an early stage. Consequently, we believe that this work can be a step towards smart personalised healthcare industry by guiding the design of industrial personalised healthcare systems. Accordingly, we introduced a reference framework that empowers smart personalised healthcare using PDTs by bringing together existing advanced technologies (i.e., DT, blockchain, and AI). Then, we described some selected use cases, including the mitigation of COVID-19 contagion, COVID-19 survivor follow-up care, personalised COVID-19 medicine, personalised osteoporosis prevention, personalised cancer survivor follow-up care, and personalised nutrition. Finally, we identified further challenges to pave the PDT paradigm toward the smart personalised healthcare industry.en
dc.description.sponsorshipScience Foundation Ireland (Grant Number SFI/16/RC/3918 (CONFIRM); Grant SFI/12/RC/2289_P2)en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.articleid5918en
dc.identifier.citationSahal, R., Alsamhi, S.H. and Brown, K.N. (2022) ‘Personal digital twin: a close look into the present and a step towards the future of personalised healthcare industry’, Sensors, 22(15), 5918 (35 pp). doi: 10.3390/s22155918.en
dc.identifier.doi10.3390/s22155918en
dc.identifier.endpage35en
dc.identifier.issn1424-8220
dc.identifier.issued15en
dc.identifier.journaltitleSensorsen
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/14100
dc.identifier.volume22en
dc.language.isoenen
dc.publisherMDPIen
dc.relation.projectinfo:eu-repo/grantAgreement/EC/H2020::MSCA-COFUND-FP/847577/EU/Smart Manufacturing Advanced Research Training for Industry 4.0/SMART 4.0en
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres/12/RC/2289/IE/INSIGHT - Irelands Big Data and Analytics Research Centre/en
dc.relation.urihttps://doi.org/10.3390/s22155918
dc.rights© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectPersonalised healthcareen
dc.subjectDigital twinen
dc.subjectPersonal digital twinen
dc.subjectData analysisen
dc.subjectCOVID-19en
dc.titlePersonal digital twin: A close look into the present and a step towards the future of personalised healthcare industryen
dc.typeArticle (peer-reviewed)en
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