REVIEW article

Front. Digit. Health

Sec. Personalized Medicine

Volume 7 - 2025 | doi: 10.3389/fdgth.2025.1583466

This article is part of the Research TopicImplementing Digital Twins in Healthcare: Pathways to Person-Centric SolutionsView all 5 articles

Digital Twin for Personalized Medicine Development

Provisionally accepted
Saniya Y SaratkarSaniya Y Saratkar1Meher LangoteMeher Langote2Praveen KumarPraveen Kumar2Pradnyawant GotePradnyawant Gote2Induni Nayodhara WeerarathnaInduni Nayodhara Weerarathna2*Gaurav MishraGaurav Mishra2
  • 1Datta Meghe Institute of Medical Sciences, Wardha, Maharashtra, India
  • 2Datta Meghe Institute of Higher Education and Research, Wardha, Maharashtra, India

The final, formatted version of the article will be published soon.

Select one of your emails

You have multiple emails registered with Frontiers:

Notify me on publication

Please enter your email address:

If you already have an account, please login

You don't have a Frontiers account ? You can register here

Digital Twin (DT) technology is revolutionizing healthcare by enabling real-time monitoring, predictive analytics, and highly personalized medical care. As a key innovation of Industry 4.0, DTs integrate advanced tools like artificial intelligence (AI), the Internet of Things (IoT), and machine learning (ML) to create dynamic, data-driven replicas of patients. These digital replicas allow simulations of disease progression, optimize diagnostics, and personalize treatment plans based on individual genetic and lifestyle profiles. This review explores the evolution, architecture, and enabling technologies of DTs, focusing on their transformative applications in personalized medicine (PM). While the integration of DTs offers immense potential to improve outcomes and efficiency in healthcare, challenges such as data privacy, system interoperability, and ethical concerns must be addressed. The paper concludes by highlighting future directions, where AI, cloud computing, and blockchain are expected to play a pivotal role in overcoming these limitations and advancing precision medicine.

Keywords: Digital Twin, personalized medicine, artificial intelligence, healthcare, Internet of Things (IoT)

Received: 25 Feb 2025; Accepted: 18 Jun 2025.

Copyright: © 2025 Saratkar, Langote, Kumar, Gote, Weerarathna and Mishra. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Induni Nayodhara Weerarathna, Datta Meghe Institute of Higher Education and Research, Wardha, 442107, Maharashtra, India

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

Supplementary Material