ArticleInternational journal of molecular sciences2022
What Is a Digital Twin? Experimental Design for a Data-Centric Machine Learning Perspective in Health.
Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed.
- Construction of virtual whole eye model based on ultra-widefield optical coherence tomography in myopia.NPJ digital medicine · 2026Article
- Mapping the future of medicine through digital twins.Frontiers in molecular medicine · 2026Review
- Privacy-hardened and hallucination-resistant synthetic data generation with logic-solvers.Bioinformatics (Oxford, England) · 2025Article
- The role of digital twins in P4 medicine: A paradigm for modern healthcare.NPJ digital medicine · 2025Review
- Data-Centric AI for EEG-Based Emotion Recognition: Noise Filtering and Augmentation Strategies.Bioengineering (Basel, Switzerland) · 2025Article
- The ethical aspects of human organ-on-chip models: A mapping review.Stem cell reports · 2025Review
- Digital twin models for predicting venetoclax and azacitidine-induced neutropenia in patients with acute myeloid leukemia.NPJ digital medicine · 2025Article
- Personalised Transdermal Therapy for Chronic Pain with Digital Twin Technology.Current drug targets · 2025Review
- Concepts and applications of digital twins in healthcare and medicine.Patterns (New York, N.Y.) · 2024Review
- Intelligent Digital Twins for Personalized Migraine Care.Journal of personalized medicine · 2023Review
- The Digital Twin: A Potential Solution for the Personalized Diagnosis and Treatment of Musculoskeletal System Diseases.Bioengineering (Basel, Switzerland) · 2023Article
- The potential of the Medical Digital Twin in diabetes management: a review.Frontiers in medicine · 2023Review
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The idea of a digital twin has recently gained widespread attention. While, so far, it has been used predominantly for problems in engineering and manufacturing, it is believed that a digital twin also holds great promise for applications in medicine and health. However, a problem that severely hampers progress in these fields is the lack of a solid definition of the concept behind a digital twin that would be directly amenable for such big data-driven fields requiring a statistical data analysis. In this paper, we address this problem. We will see that the term 'digital twin', as used in the literature, is like a Matryoshka doll. For this reason, we unstack the concept via a data-centric machine learning perspective, allowing us to define its main components. As a consequence, we suggest to use the term Digital Twin System instead of digital twin because this highlights its complex interconnected substructure. In addition, we address ethical concerns that result from treatment suggestions for patients based on simulated data and a possible lack of explainability of the underling models.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.