ArticleJournal of medical Internet research2024
Envisioning the Future of Personalized Medicine: Role and Realities of Digital Twins.
Article in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
52 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Digital Twins and Health Care: an Umbrella Review.Journal of medical systems · 2025Pooled it
- Analyzing metaverse-based digital therapies, their effectiveness, and potential risks in mental healthcare.Scientific reports · 2025Pooled it
- Visual analysis of quality management in Chinese drug clinical trials based on CiteSpace and COOC.Frontiers in medicine · 2025Pooled it
- A data-driven digital twin of emergency department flow to quantify congestion dynamics and test operational resilience.Internal and emergency medicine · 2026Article
- Artificial intelligence-driven digital twins in Pharma 4.0: transforming smart manufacturing, predictive quality assurance, and personalized drug delivery.Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences · 2026Review
- Digital twin for neurological conditions: a systematic scoping review.Biomedical engineering letters · 2026Review
- A Real-Time Digital Twin for Human Cardiovascular Applications.International journal for numerical methods in biomedical engineering · 2026Article
- Healthcare Digital Twins Across Scales: A Narrative Review and Five-Level Conceptual Framework.Healthcare (Basel, Switzerland) · 2026Review
- Validating medical digital twins for clinical decision support: beyond predictive accuracy.JAMIA open · 2026Review
- AI-Driven Digital Twin Architecture for Multimodal Prediction and Adaptive Intervention in Cognitive Aging.JMIR AI · 2026Article
- Digital twins in pulmonary medicine: a scoping review of applications, benefits, and challenges.BMC pulmonary medicine · 2026Article
- A unified digital twin framework for predicting therapeutic response to central nervous system infections by pathogenic free-living amoebae.Parasitology research · 2026Review
- Artificial Intelligence in Cardiovascular Disease Prevention: Current Applications and Future Perspectives.Anatolian journal of cardiology · 2026Review
- Integrating Molecular Pathogenesis and Host Response into a Digital Twin Framework for Predicting Therapeutic Outcomes inACS omega · 2026Article
- From prediction to intervention: causal digital twins for personalized clinical decision support.Journal of translational medicine · 2026Article
- Design for a digital twin in clinical patient care.npj health systems · 2026Review
- Digital twin frameworks for polio and post-polio neurodegeneration: Toward predictive, personalised lifelong neuro-rehabilitation.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026Review
- Realising the digital twin: a thematic review and analysis of the ethical, legal, and social issues for digital twins in healthcare.AI & society · 2026Article
- A digital twin-based comparative reinforcement learning framework for personalized behavioral recommendation.Frontiers in artificial intelligence · 2026Article
- Positive psychology 4.0: a science of consequence for a world that can no longer wait.Frontiers in psychology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Digital twins have emerged as a groundbreaking concept in personalized medicine, offering immense potential to transform health care delivery and improve patient outcomes. It is important to highlight the impact of digital twins on personalized medicine across the understanding of patient health, risk assessment, clinical trials and drug development, and patient monitoring. By mirroring individual health profiles, digital twins offer unparalleled insights into patient-specific conditions, enabling more accurate risk assessments and tailored interventions. However, their application extends beyond clinical benefits, prompting significant ethical debates over data privacy, consent, and potential biases in health care. The rapid evolution of this technology necessitates a careful balancing act between innovation and ethical responsibility. As the field of personalized medicine continues to evolve, digital twins hold tremendous promise in transforming health care delivery and revolutionizing patient care. While challenges exist, the continued development and integration of digital twins hold the potential to revolutionize personalized medicine, ushering in an era of tailored treatments and improved patient well-being. Digital twins can assist in recognizing trends and indicators that might signal the presence of diseases or forecast the likelihood of developing specific medical conditions, along with the progression of such diseases. Nevertheless, the use of human digital twins gives rise to ethical dilemmas related to informed consent, data ownership, and the potential for discrimination based on health profiles. There is a critical need for robust guidelines and regulations to navigate these challenges, ensuring that the pursuit of advanced health care solutions does not compromise patient rights and well-being. This viewpoint aims to ignite a comprehensive dialogue on the responsible integration of digital twins in medicine, advocating for a future where technology serves as a cornerstone for personalized, ethical, and effective patient care.
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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.