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Digital Dimensions in Medicine: Exploring the Interplay of Biomarkers, Phenotypes, and Twins

In: People, Society, and Ethical Challenges of Information Systems

Author

Listed:
  • Maren Kählig

    (Technische Universität Dresden, Research Group Digital Health)

  • Hannes Schlieter

    (Technische Universität Dresden, Research Group Digital Health)

  • Karsten Wendt

    (Technische Universität Dresden, Chair of Software Technology)

  • Emily Hickmann

    (Technische Universität Dresden, Research Group Digital Health)

Abstract

Personalized medicine tailors treatment to individual characteristics, leveraging advances in digitized healthcare and Artificial Intelligence (AI). This study highlights the role of digital biomarkers, phenotypes, and twins in enhancing healthcare personalization. Despite their potential, vague definitions of the constructs present a challenge to their application. Through a systematic literature review, this research explores the distinctions and applications of the constructs, aiming to clearly define and classify them. It emphasizes the need for a common language, interdisciplinary collaboration, and effective treatment strategies. The study also underscores the importance of data quality and ethical data use, contributing to the coherent integration of digital health constructs into personalized medicine.

Suggested Citation

  • Maren Kählig & Hannes Schlieter & Karsten Wendt & Emily Hickmann, 2026. "Digital Dimensions in Medicine: Exploring the Interplay of Biomarkers, Phenotypes, and Twins," Lecture Notes in Information Systems and Organization, in: Christoph M. Flath & Gunther Gust & Frédéric Thiesse & Axel Winkelmann (ed.), People, Society, and Ethical Challenges of Information Systems, pages 429-443, Springer.
    • Handle: RePEc:spr:lnichp:978-3-032-08486-6_29
    DOI: 10.1007/978-3-032-08486-6_29
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