ReviewInterface focus2016
Multiphysics and multiscale modelling, data-model fusion and integration of organ physiology in the clinic: ventricular cardiac mechanics.
Review in Interface focus, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 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
76 citing papers in PubMed, 226 citations in OpenAlex.
- Post-MI Remodeling Mechanics of Left Ventricle: Microstructure-Informed Models, Identifiability, and Uncertainty for Patient-Specific Prediction.Bioengineering (Basel, Switzerland) · 2026Review
- A modelling study of right ventricular growth with valvular regurgitation.Biomechanics and modeling in mechanobiology · 2026Article
- Constitutive discovery in the living human heart.bioRxiv : the preprint server for biology · 2026Article
- MorphiNet: A Graph Subdivision Network for Adaptive Bi-Ventricle Surface Reconstruction.IEEE transactions on medical imaging · 2026Article
- From biaxial tests to cardiac digital twins: a morphomechanics agenda for passive myocardium.Frontiers in physiology · 2026Article
- Infarct border-zone biomechanics after myocardial infarction: linking mechanotransduction, fibrosis, and ventricular dysfunction.Frontiers in bioengineering and biotechnology · 2026Review
- Harnessing Nonlinear Mechanics to Transform Medical Diagnostics.Applied mechanics reviews · 2025Article
- Computational modelling of biological systems now and then: revisiting tools and visions from the beginning of the century.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025Review
- Identification of the Unloaded Heart Configuration Including External Interactions.Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH (Conference) · 2025Article
- Mechano-electrical-fluid interaction left-ventricle model for numerical evaluation of aortic valve hemodynamics.Frontiers in bioengineering and biotechnology · 2025Article
- Democratizing biomedical simulation through automated model discovery and a universal material subroutine.Computational mechanics · 2025Article
- Patient-specific closed-loop model of the fontan circulation: Calibration and validation.Heliyon · 2024Article
- The Potential of Deep Learning to Advance Clinical Applications of Computational Biomechanics.Bioengineering (Basel, Switzerland) · 2023Review
- A comprehensive mathematical model for cardiac perfusion.Scientific reports · 2023Article
- GPU accelerated digital twins of the human heart open new routes for cardiovascular research.Scientific reports · 2023Article
- lifex-fiber: an open tool for myofibers generation in cardiac computational models.BMC bioinformatics · 2023Article
- Advances in the design, generation, and application of tissue-engineered myocardial equivalents.Frontiers in bioengineering and biotechnology · 2023Review
- Physical model of end-diastolic and end-systolic pressure-volume relationships of a heart.Frontiers in physiology · 2023Article
- From evidence-based medicine to digital twin technology for predicting ventricular tachycardia in ischaemic cardiomyopathy.Journal of the Royal Society, Interface · 2022Article
- How viscous is the beating heart?: Insights from a computational study.Computational mechanics · 2022Article
16 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 5 institutions in 4 countries.
Funding
Abstract
With heart and cardiovascular diseases continually challenging healthcare systems worldwide, translating basic research on cardiac (patho)physiology into clinical care is essential. Exacerbating this already extensive challenge is the complexity of the heart, relying on its hierarchical structure and function to maintain cardiovascular flow. Computational modelling has been proposed and actively pursued as a tool for accelerating research and translation. Allowing exploration of the relationships between physics, multiscale mechanisms and function, computational modelling provides a platform for improving our understanding of the heart. Further integration of experimental and clinical data through data assimilation and parameter estimation techniques is bringing computational models closer to use in routine clinical practice. This article reviews developments in computational cardiac modelling and how their integration with medical imaging data is providing new pathways for translational cardiac modelling.
Indexed as
Identifiers
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.