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

Proposals (eHealth) (72) Artificial Intelligence (1186) Machine Learning (1370)
Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35738, first published .
Life Course Digital Twins–Intelligent Monitoring for Early and Continuous Intervention and Prevention (LifeTIME): Proposal for a Retrospective Cohort Study

Life Course Digital Twins–Intelligent Monitoring for Early and Continuous Intervention and Prevention (LifeTIME): Proposal for a Retrospective Cohort Study

Life Course Digital Twins–Intelligent Monitoring for Early and Continuous Intervention and Prevention (LifeTIME): Proposal for a Retrospective Cohort Study

Authors of this article:

Madison Milne-Ives1 Author Orcid Image ;   Lorna K Fraser2 Author Orcid Image ;   Asiya Khan3 Author Orcid Image ;   David Walker3 Author Orcid Image ;   Michelle Helena van Velthoven4 Author Orcid Image ;   Jon May5 Author Orcid Image ;   Ingrid Wolfe6 Author Orcid Image ;   Tracey Harding7 Author Orcid Image ;   Edward Meinert1, 8, 9 Author Orcid Image
Article Authors Cited by (4) Tweetations (3) Metrics

Journals

  1. Calcaterra V, Pagani V, Zuccotti G. Digital Twin: A Future Health Challenge in Prevention, Early Diagnosis and Personalisation of Medical Care in Paediatrics. International Journal of Environmental Research and Public Health 2023;20(3):2181 View
  2. Tretter M, Ott T, Dabrock P. AI-produced certainties in health care: current and future challenges. AI and Ethics 2023 View
  3. Vallée A. Envisioning the Future of Personalized Medicine: Role and Realities of Digital Twins. Journal of Medical Internet Research 2024;26:e50204 View

Books/Policy Documents

  1. Barresi G, Gaggioli A, Sternini F, Ravizza A, Pacchierotti C, De Michieli L. mHealth and Human-Centered Design Towards Enhanced Health, Care, and Well-being. View