Version 1
: Received: 5 June 2024 / Approved: 5 June 2024 / Online: 7 June 2024 (11:06:07 CEST)
How to cite:
Li, X.; Loscalzo, J.; Mahmud, A. F.; Aly, D. M. A.; Rzhetsky, A.; Zitnik, M.; Benson, M. Digital Twins as Global Learning Health and Disease Models of Individuals. Preprints2024, 2024060357. https://doi.org/10.20944/preprints202406.0357.v1
Li, X.; Loscalzo, J.; Mahmud, A. F.; Aly, D. M. A.; Rzhetsky, A.; Zitnik, M.; Benson, M. Digital Twins as Global Learning Health and Disease Models of Individuals. Preprints 2024, 2024060357. https://doi.org/10.20944/preprints202406.0357.v1
Li, X.; Loscalzo, J.; Mahmud, A. F.; Aly, D. M. A.; Rzhetsky, A.; Zitnik, M.; Benson, M. Digital Twins as Global Learning Health and Disease Models of Individuals. Preprints2024, 2024060357. https://doi.org/10.20944/preprints202406.0357.v1
APA Style
Li, X., Loscalzo, J., Mahmud, A. F., Aly, D. M. A., Rzhetsky, A., Zitnik, M., & Benson, M. (2024). Digital Twins as Global Learning Health and Disease Models of Individuals. Preprints. https://doi.org/10.20944/preprints202406.0357.v1
Chicago/Turabian Style
Li, X., Marinka Zitnik and Mikael Benson. 2024 "Digital Twins as Global Learning Health and Disease Models of Individuals" Preprints. https://doi.org/10.20944/preprints202406.0357.v1
Abstract
Emerging molecular and computational techniques may allow construction and computational treatment of dynamic digital twins on the scale of populations to individuals. This approach may pave the way for predictive, preventive, and personalized treatment. Because digital twins are independent of geographical location, this may also contribute to global equitable health.
Keywords
Global equitable health; Digital twin; Personalized treatment
Subject
Public Health and Healthcare, Other
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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