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August 16, 2025Frontiers in Digital HealthOpen Access

Digital twin for personalized medicine development

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Authors

SSSaniya SaratkarMLMeher LangotePKPraveen Kumar

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Overview

Review reveals transformative potential of digital twins in personalized medicine, highlighting data privacy concerns.

Key Points

  • Integration of digital twin technology could significantly enhance personalized medicine outcomes and efficiency in healthcare.
  • The review emphasizes the role of artificial intelligence and machine learning in creating dynamic replicas of patients.
  • Addressing data privacy and interoperability challenges is crucial for the effective application of digital twin technologies.
  • Future advancements in digital twins might depend on AI, cloud computing, and blockchain to address existing limitations.

Cite This Study

Saratkar et al. (2025) studied this question.

synapsesocial.com/papers/68c235fdb210217d64773227https://doi.org/10.3389/fdgth.2025.1583466
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1A Technological Review of Digital Twins and Artificial Intelligence for Personalized and Predictive Healthcare2025
  2. 2Digital twins in personalized medicine: Insights from a systematic review2025
  3. 3Digital Twins for Personalized Medicine Require Epidemiological Data and Mathematical Modeling: Viewpoint2025
  4. 4One Patient, Two Worlds: Digital Twins for Everyday Prevention and Care.2026
  5. 5Digital Twin Frameworks for Simulating Multiscale Patient Physiology in Precision Oncology: A Review of Real-Time Data Assimilation, Predictive Tumor Modeling, and Clinical Decision Interfaces2025