This paper is in the following e-collection/theme issue:

Viewpoints and Perspectives (522) Theoretical Frameworks and Concepts (258) Big Data (241) Artificial Intelligence (1409) Precision Medicine (78) Digital Health, Telehealth and e-Innovation in Clinical Settings (420)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50204, first published .
Envisioning the Future of Personalized Medicine: Role and Realities of Digital Twins

Envisioning the Future of Personalized Medicine: Role and Realities of Digital Twins

Envisioning the Future of Personalized Medicine: Role and Realities of Digital Twins

Authors of this article:

Alexandre Vallée1 Author Orcid Image
Article Authors Cited by (6) Tweetations (15) Metrics

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  1. Pavlopoulos A, Rachiotis T, Maglogiannis I. An Overview of Tools and Technologies for Anxiety and Depression Management Using AI. Applied Sciences 2024;14(19):9068 View
  2. Łukaniszyn M, Majka Ł, Grochowicz B, Mikołajewski D, Kawala-Sterniuk A. Digital Twins Generated by Artificial Intelligence in Personalized Healthcare. Applied Sciences 2024;14(20):9404 View
  3. Ștefănigă S, Cordoș A, Ivascu T, Feier C, Muntean C, Stupinean C, Călinici T, Aluaș M, Bolboacă S. Advancing Precision Oncology with Digital and Virtual Twins: A Scoping Review. Cancers 2024;16(22):3817 View
  4. Piras A, Corso R, Benfante V, Ali M, Laudicella R, Alongi P, D'Aviero A, Cusumano D, Boldrini L, Salvaggio G, Di Raimondo D, Tuttolomondo A, Comelli A. Artificial Intelligence and Statistical Models for the Prediction of Radiotherapy Toxicity in Prostate Cancer: A Systematic Review. Applied Sciences 2024;14(23):10947 View

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  1. Thapliyal K, Thapliyal M, Thapliyal D. Digitalization and the Transformation of the Healthcare Sector. View