ArticleAnnals of biomedical engineering2016
Multi-scale Modeling of the Cardiovascular System: Disease Development, Progression, and Clinical Intervention.
Article in Annals of biomedical engineering, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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
31 citing papers in PubMed, 61 citations in OpenAlex.
- The Hodgkin-Huxley-Katz Prize Lecture: Heart digital twins: A new paradigm in arrhythmia medicine.The Journal of physiology · 2026Article
- ECMSim: A high-performance interactive web application for real-time spatiotemporal simulation of cardiac ECM signaling and diffusion.Matrix biology plus · 2026Article
- Integrated lumped parameter modeling of cardiac-vascular interaction with valve dynamics and ventricular pressure-volume.Frontiers in bioengineering and biotechnology · 2026Article
- Emerging Technologies for Exploring the Cellular Mechanisms in Vascular Diseases.International journal of molecular sciences · 2025Review
- A Neural-Operator Surrogate for Platelet Deformation Across Capillary Numbers.Bioengineering (Basel, Switzerland) · 2025Article
- Population-based computational simulations elucidate mechanisms of focal arrhythmia following stem cell injection.Journal of molecular and cellular cardiology · 2025Article
- Up digital and personal: How heart digital twins can transform heart patient care.Heart rhythm · 2024Review
- The promise of cardiac neuromodulation: can computational modelling bridge the gap?The Journal of physiology · 2023Article
- Machine Learning for Cardiovascular Biomechanics Modeling: Challenges and Beyond.Annals of biomedical engineering · 2022Review
- Editorial: Modeling of cardiovascular systems.Frontiers in physiology · 2022Article
- Emerging computational paradigms to address the complex role of gut microbial metabolism in cardiovascular diseases.Frontiers in cardiovascular medicine · 2022Review
- A distributed lumped parameter model of blood flow with fluid-structure interaction.Biomechanics and modeling in mechanobiology · 2021Article
- Molecular determinants of pro-arrhythmia proclivity of d- and l-sotalol via a multi-scale modeling pipeline.Journal of molecular and cellular cardiology · 2021Article
- Regenerated Microvascular Networks in Ischemic Skeletal Muscle.Frontiers in physiology · 2021Article
- The Quest for System-Theoretical Medicine in the COVID-19 Era.Frontiers in medicine · 2021Article
- Cardiorenal Systems Modeling: Left Ventricular Hypertrophy and Differential Effects of Antihypertensive Therapies on Hypertrophy Regression.Frontiers in physiology · 2021Article
- A Review on Applications of Computational Methods in Drug Screening and Design.Molecules (Basel, Switzerland) · 2020Review
- Thrombogenic and Inflammatory Reactions to Biomaterials in Medical Devices.Frontiers in bioengineering and biotechnology · 2020Review
- A review on low-dimensional physics-based models of systemic arteries: application to estimation of central aortic pressure.Biomedical engineering online · 2019Review
- Cardiovascular disease models: A game changing paradigm in drug discovery and screening.Biomaterials · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 10 institutions in 1 country.
Funding
Abstract
Cardiovascular diseases (CVDs) are the leading cause of death in the western world. With the current development of clinical diagnostics to more accurately measure the extent and specifics of CVDs, a laudable goal is a better understanding of the structure-function relation in the cardiovascular system. Much of this fundamental understanding comes from the development and study of models that integrate biology, medicine, imaging, and biomechanics. Information from these models provides guidance for developing diagnostics, and implementation of these diagnostics to the clinical setting, in turn, provides data for refining the models. In this review, we introduce multi-scale and multi-physical models for understanding disease development, progression, and designing clinical interventions. We begin with multi-scale models of cardiac electrophysiology and mechanics for diagnosis, clinical decision support, personalized and precision medicine in cardiology with examples in arrhythmia and heart failure. We then introduce computational models of vasculature mechanics and associated mechanical forces for understanding vascular disease progression, designing clinical interventions, and elucidating mechanisms that underlie diverse vascular conditions. We conclude with a discussion of barriers that must be overcome to provide enhanced insights, predictions, and decisions in pre-clinical and clinical applications.
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What 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.