Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A theory-driven user-centered design framework for wellness applications targeting young adults: The MiCARE methodology.

Digital health·2026
Same author

Development and Formative Usability Evaluation of a Theory-Driven Progressive Web Application for Young Adult Wellness Engagement (MiCARE): Protocol for a Mixed Methods Study.

JMIR research protocols·2026
Same author

Digital Health Solutions for Type 2 Diabetes and Prediabetes: Systematic Review of Engagement Barriers, Facilitators, and Outcomes.

JMIR diabetes·2026
Same author

Draw-Care, a Co-Designed Multilingual Digital Intervention for Family Carers of People Living With Dementia From Ethnically Diverse Communities: User-Testing Study.

JMIR formative research·2026
Same author

Evaluating the effects of the World Health Organisation's online intervention 'iSupport lite' to reduce burden in multilingual dementia carers: results from the Australian Draw-Care randomised clinical trial.

Age and ageing·2026
Same author

EngageEMR: Codesigning resources to promote patient and carer engagement with their hospital electronic medical record.

Patient education and counseling·2026

Related Experiment Video

Updated: Jul 5, 2025

Development and Evaluation of 3D-Printed Cardiovascular Phantoms for Interventional Planning and Training
09:57

Development and Evaluation of 3D-Printed Cardiovascular Phantoms for Interventional Planning and Training

Published on: January 18, 2021

4.0K

Digital Twins for More Precise and Personalized Treatment.

Nilmini Wickramasinghe1, Nalika Ulapane1, Elliot B Sloane2

  • 1Swinburne University of Technology, Australia.

Studies in Health Technology and Informatics
|January 25, 2024
PubMed
Summary

Digital Twins (DTs), or digital replicas, show promise in healthcare for personalized treatments. This study explores creating synthetic patient DTs to understand their potential and challenges in clinical decision support.

Keywords:
clinical decision makingclinical decision supportdigital twinpersonalized medicinetime series modelling

More Related Videos

3D Planning and Printing of Patient Specific Implants for Reconstruction of Bony Defects
08:15

3D Planning and Printing of Patient Specific Implants for Reconstruction of Bony Defects

Published on: August 4, 2020

6.4K
Author Spotlight: Segmentation and VR for Advanced Neurovascular Interventions
06:18

Author Spotlight: Segmentation and VR for Advanced Neurovascular Interventions

Published on: April 5, 2024

1.0K

Related Experiment Videos

Last Updated: Jul 5, 2025

Development and Evaluation of 3D-Printed Cardiovascular Phantoms for Interventional Planning and Training
09:57

Development and Evaluation of 3D-Printed Cardiovascular Phantoms for Interventional Planning and Training

Published on: January 18, 2021

4.0K
3D Planning and Printing of Patient Specific Implants for Reconstruction of Bony Defects
08:15

3D Planning and Printing of Patient Specific Implants for Reconstruction of Bony Defects

Published on: August 4, 2020

6.4K
Author Spotlight: Segmentation and VR for Advanced Neurovascular Interventions
06:18

Author Spotlight: Segmentation and VR for Advanced Neurovascular Interventions

Published on: April 5, 2024

1.0K

Area of Science:

  • Digital Health
  • Medical Informatics
  • Computational Medicine

Background:

  • Digital Twins (DTs), digital replicas of physical entities, are widely used in manufacturing.
  • Current applications of DTs in healthcare are limited.
  • Increasing demand for precise and personalized medical treatments necessitates exploring new technologies like DTs.

Purpose of the Study:

  • To explore the potential for creating and utilizing Digital Twins in a healthcare context.
  • To demonstrate the proof-of-concept for DTs using synthetic patient data.
  • To understand the possibilities and challenges associated with applying DTs for enhanced clinical decision support.

Main Methods:

  • Development of Digital Twins (DTs) for synthetic patients using computer-generated data.
  • Utilized historical synthetic patient data to create current synthetic patient DTs.
  • Conducted a numerical experiment in a synthetic environment to evaluate the approach.

Main Results:

  • Successfully created Digital Twins (DTs) of synthetic patients.
  • The study provides a foundation for understanding the strengths and weaknesses of DTs in healthcare.
  • Identified potential challenges and possibilities for DT implementation in clinical settings.

Conclusions:

  • Digital Twins (DTs) offer potential for advancing personalized medicine and clinical decision support.
  • Further research is needed to overcome challenges and realize the full benefits of DTs in real-world healthcare scenarios.
  • This proof-of-concept highlights the importance of exploring DTs for future healthcare innovations.