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

Proposals (eHealth) (83) Artificial Intelligence (1836) Machine Learning (1824)
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 (10) 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 2025;5(1):497 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
  4. Maïzi Y, Arcand A, Bendavid Y. Digital twin in healthcare: Classification and typology of models based on hierarchy, application, and maturity. Internet of Things 2024;28:101379 View
  5. Sheng B, Wang Z, Qiao Y, Xie S, Tao J, Duan C. Detecting latent topics and trends of digital twins in healthcare: A structural topic model-based systematic review. DIGITAL HEALTH 2023;9 View
  6. Oulefki A, Amira A, Foufou S. Digital twins and AI transforming healthcare systems through innovation and data-driven decision making. Health and Technology 2025;15(2):299 View
  7. Mishra V, Singh J, Rana S, Haque M. System Dynamics-Based Digital Twin for Population Health- A Case of Diabetes Management in the UAE. Procedia Computer Science 2025;260:252 View
  8. Daraio C, Di Leo S, Orsini J. An Integrated and Flexible Review Framework to Evaluate the Evolution and Barriers of Digital-Twin Technologies in Industrial and Healthcare Domains. Global Journal of Flexible Systems Management 2025 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
  2. Kokkas S, Segkouli S, Votis K. Artificial Intelligence Applications and Innovations. AIAI 2025 IFIP WG 12.5 International Workshops. View