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Medical digital twins offer personalized medicine advancements, particularly in oncology and cardiology. This technology promises improved patient-specific treatments and diagnostics despite data integration and privacy challenges.

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Area of Science:

  • Biomedical Engineering
  • Health Informatics
  • Computational Medicine

Background:

  • Medical digital twins are emerging as a key technology for personalized medicine.
  • Current research highlights significant advancements in oncology and cardiology applications.
  • The development of digital twins is gaining traction in medical research.

Purpose of the Study:

  • To provide a comprehensive overview of the current state of medical digital twin development.
  • To identify and discuss the primary challenges hindering widespread adoption.
  • To offer an outlook on future advancements and potential impact in healthcare.

Main Methods:

  • Review of existing literature and state-of-the-art research in medical digital twins.
  • Focus on applications and progress in oncology and cardiology.
  • Analysis of technical and ethical challenges, including data integration and privacy concerns.

Main Results:

  • Medical digital twins show significant potential for personalized treatments and diagnostics.
  • Oncology and cardiology are leading fields in the development and application of digital twins.
  • Key challenges include data integration, interoperability, and patient data privacy.

Conclusions:

  • Medical digital twins are poised to revolutionize patient-specific healthcare.
  • Addressing challenges in data management and privacy is crucial for future progress.
  • Continued advancements will enhance diagnostic accuracy and treatment efficacy.