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

Maren Kählig (), Hannes Schlieter, Karsten Wendt and Emily Hickmann
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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

A chapter in People, Society, and Ethical Challenges of Information Systems, 2026, pp 429-443 from Springer

Abstract: 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.

Keywords: Personalization; Digitalization; Biomarker; Phenotypes; Twins (search for similar items in EconPapers)
Date: 2026
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DOI: 10.1007/978-3-032-08486-6_29

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