ArticleNature reviews. Cardiology2021
The health digital twin: advancing precision cardiovascular medicine.
Article in Nature reviews. Cardiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis 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
32 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Digital Twins and Health Care: an Umbrella Review.Journal of medical systems · 2025Pooled it
- The Hodgkin-Huxley-Katz Prize Lecture: Heart digital twins: A new paradigm in arrhythmia medicine.The Journal of physiology · 2026Article
- Causal graph neural networks for healthcare.Nature biomedical engineering · 2026Review
- Development of the Windmill Model for Mapping Older Adults' Intrinsic Capacity Using Digital Twin Technology: Descriptive Qualitative Study.JMIR aging · 2026Article
- Shaping the future of multiple myeloma with artificial intelligence and digital twins: from concept to clinic.Frontiers in digital health · 2026Review
- The role of digital twins in P4 medicine: A paradigm for modern healthcare.NPJ digital medicine · 2025Review
- Cell-to-cell communication: from physical calling to remote emotional touching.Discover nano · 2025Article
- Longitudinal big biological data in the AI era.Molecular systems biology · 2025Review
- Recent Advances and Future Directions in Alzheimer's Disease Genetic Research.International journal of molecular sciences · 2025Review
- Democratizing cardiac imaging with an automated magnetic resonance exam.Research square · 2025Article
- Closing the loop: autonomous intelligent control for hypoxia pre-acclimatization and high-altitude health management.National science review · 2025Review
- Control of medical digital twins with artificial neural networks.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025Article
- Challenges and opportunities for digital twins in precision medicine from a complex systems perspective.NPJ digital medicine · 2025Review
- The Era of Preemptive Medicine: Developing Medical Digital Twins through Omics, IoT, and AI Integration.JMA journal · 2025Review
- Optimal control of agent-based models via surrogate modeling.PLoS computational biology · 2025Article
- Concepts and applications of digital twins in healthcare and medicine.Patterns (New York, N.Y.) · 2024Review
- Transforming Cardiovascular Care With Artificial Intelligence: From Discovery to Practice: JACC State-of-the-Art Review.Journal of the American College of Cardiology · 2024Review
- Article
- Article
- [Digital twin hospitals: transforming the future of healthcare].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
34642446What OpenQuestion holds
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.