Digital Twins of Biological Systems: A Narrative Review
The concept of Digital Twins (DTs), software models that mimic the behavior and interactions of physical or conceptual objects within their environments, has gained traction in recent years, particularly in medicine and healthcare research. DTs technology emerges as a pivotal tool in disease modelin...
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2024
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| Online Access: | https://hdl.handle.net/11073/25713 |
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| _version_ | 1864513444216045568 |
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| author | Alsalloum, Ghufran A. |
| author2 | AlSawaftah, Nour Majdi Percival, Kelly M. Husseini, Ghaleb |
| author2_role | author author author |
| author_facet | Alsalloum, Ghufran A. AlSawaftah, Nour Majdi Percival, Kelly M. Husseini, Ghaleb |
| author_role | author |
| dc.creator.none.fl_str_mv | Alsalloum, Ghufran A. AlSawaftah, Nour Majdi Percival, Kelly M. Husseini, Ghaleb |
| dc.date.none.fl_str_mv | 2024-11-14T05:59:21Z 2024-11-14T05:59:21Z 2024 |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | Alsalloum,G. A.; A Sawaftah,N. M.; Percival K. M. and Husseini,G. A. "Digital Twins of Biological Systems: A Narrative Review," in IEEE Open Journal of Engineering in Medicine and Biology, vol. 5, pp. 670-677, 2024, doi: 10.1109/OJEMB.2024.3426916. 2644-1276 https://hdl.handle.net/11073/25713 10.1109/OJEMB.2024.3426916 |
| dc.language.none.fl_str_mv | en_US |
| dc.publisher.none.fl_str_mv | IEEE |
| dc.relation.none.fl_str_mv | https://doi.org/10.1109/OJEMB.2024.3426916 |
| dc.subject.none.fl_str_mv | Biological system modeling Digital twin Medical technology |
| dc.title.none.fl_str_mv | Digital Twins of Biological Systems: A Narrative Review |
| dc.type.none.fl_str_mv | Peer-Reviewed Published version info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| description | The concept of Digital Twins (DTs), software models that mimic the behavior and interactions of physical or conceptual objects within their environments, has gained traction in recent years, particularly in medicine and healthcare research. DTs technology emerges as a pivotal tool in disease modeling, integrating diverse data sources to computationally model dynamic biological systems. This narrative review explores potential DT applications in medicine, from defining DTs and their history to constructing DTs, modeling biologically relevant systems, as well as discussing the benefits, risks, and challenges in their application. The influence of DTs extends beyond healthcare and can revolutionize healthcare management, drug development, clinical trials, and various biomedical research fields. |
| format | article |
| id | aus_934a10ee7d3c36bfc5def9ac11b7c9f7 |
| identifier_str_mv | Alsalloum,G. A.; A Sawaftah,N. M.; Percival K. M. and Husseini,G. A. "Digital Twins of Biological Systems: A Narrative Review," in IEEE Open Journal of Engineering in Medicine and Biology, vol. 5, pp. 670-677, 2024, doi: 10.1109/OJEMB.2024.3426916. 2644-1276 10.1109/OJEMB.2024.3426916 |
| language_invalid_str_mv | en_US |
| network_acronym_str | aus |
| network_name_str | aus |
| oai_identifier_str | oai:repository.aus.edu:11073/25713 |
| publishDate | 2024 |
| publisher.none.fl_str_mv | IEEE |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Digital Twins of Biological Systems: A Narrative ReviewAlsalloum, Ghufran A.AlSawaftah, Nour MajdiPercival, Kelly M.Husseini, GhalebBiological system modelingDigital twinMedical technologyThe concept of Digital Twins (DTs), software models that mimic the behavior and interactions of physical or conceptual objects within their environments, has gained traction in recent years, particularly in medicine and healthcare research. DTs technology emerges as a pivotal tool in disease modeling, integrating diverse data sources to computationally model dynamic biological systems. This narrative review explores potential DT applications in medicine, from defining DTs and their history to constructing DTs, modeling biologically relevant systems, as well as discussing the benefits, risks, and challenges in their application. The influence of DTs extends beyond healthcare and can revolutionize healthcare management, drug development, clinical trials, and various biomedical research fields.American University of SharjahDana Gas Endowed Chair for Chemical EngineeringSheikh Hamdan Bin Rashid Al Maktoum Award for Medical SciencesFriends of Cancer PatientsIEEE2024-11-14T05:59:21Z2024-11-14T05:59:21Z2024Peer-ReviewedPublished versioninfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfAlsalloum,G. A.; A Sawaftah,N. M.; Percival K. M. and Husseini,G. A. "Digital Twins of Biological Systems: A Narrative Review," in IEEE Open Journal of Engineering in Medicine and Biology, vol. 5, pp. 670-677, 2024, doi: 10.1109/OJEMB.2024.3426916.2644-1276https://hdl.handle.net/11073/2571310.1109/OJEMB.2024.3426916en_UShttps://doi.org/10.1109/OJEMB.2024.3426916oai:repository.aus.edu:11073/257132024-11-14T14:46:55Z |
| spellingShingle | Digital Twins of Biological Systems: A Narrative Review Alsalloum, Ghufran A. Biological system modeling Digital twin Medical technology |
| status_str | publishedVersion |
| title | Digital Twins of Biological Systems: A Narrative Review |
| title_full | Digital Twins of Biological Systems: A Narrative Review |
| title_fullStr | Digital Twins of Biological Systems: A Narrative Review |
| title_full_unstemmed | Digital Twins of Biological Systems: A Narrative Review |
| title_short | Digital Twins of Biological Systems: A Narrative Review |
| title_sort | Digital Twins of Biological Systems: A Narrative Review |
| topic | Biological system modeling Digital twin Medical technology |
| url | https://hdl.handle.net/11073/25713 |