ReviewBiomechanics and modeling in mechanobiology2021
Precision medicine in human heart modeling : Perspectives, challenges, and opportunities.
Review in Biomechanics and modeling in mechanobiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers, 2 of them syntheses that pooled it.
What it found
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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.
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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
94 citing papers in PubMed, 2 syntheses or guidelines pooled it, 206 citations in OpenAlex.
- Machine learning based insights into cardiomyopathy and heart failure research: a bibliometric analysis from 2005 to 2024.Frontiers in medicine · 2025Pooled it
- Sex Matters: A Comprehensive Comparison of Female and Male Hearts.Frontiers in physiology · 2022Pooled it
- Genetic vulnerability and dynamic mechanical stress synergistically drive sarcomere failure in human iPSC-derived cardiomyocytes.Materials today. Bio · 2026Article
- The functional impact of myofiber macroscopic organization and disarray in computational models of the murine heart.PLoS computational biology · 2026Article
- Post-MI Remodeling Mechanics of Left Ventricle: Microstructure-Informed Models, Identifiability, and Uncertainty for Patient-Specific Prediction.Bioengineering (Basel, Switzerland) · 2026Review
- Addressing the Challenges in Using Synthetic Data for Health Research: Application to Cardiology.JMIR cardio · 2026Review
- Development of a 3D nnU-Net-based cell tracking platform for quantifying myocardial deformation in zebrafish.iScience · 2026Article
- Constitutive discovery in the living human heart.bioRxiv : the preprint server for biology · 2026Article
- A Physiologic Left Ventricle Flow Phantom for 4D Flow MRI Applications and CFD Verification.Annals of biomedical engineering · 2026Article
- Three-Dimensional Reconstruction of Cephalopod Beaks: A 3D Modeling Workflow Combining Prism-Assisted Photogrammetry and Micro-CT Validation.Ecology and evolution · 2026Article
- Unveiling sex dimorphism in the healthy cardiac anatomy: Fundamental differences between male and female heart shapes.The Journal of physiology · 2026Article
- Article
- A data-driven computational methodology for assessing ventricular ablation procedures.Biomechanics and modeling in mechanobiology · 2026Article
- Left ventricular assist devices and right heart dysfunction: a review of impact mechanisms, evaluation methods, and prevention and management.Journal of cardiothoracic surgery · 2026Review
- The Thromboembolic Continuum in Transcatheter Mitral Valve Repair: A Comprehensive Review.Journal of clinical medicine · 2026Review
- Quantifying Regional and Age-Dependent Microstructural Changes in Porcine Ventricles from Neonatal to Adulthood Using DT-MRI and TPEF-SHG Microscopy.Annals of biomedical engineering · 2026Article
- The Effect of Voxel Volume and Voxel Shape on Cardiac Diffusion Tensor Imaging Metrics.Magnetic resonance in medicine · 2026Article
- From image to insight: an AI-enabled framework for echocardiography acquisition, reconstruction, interpretation and interaction.European heart journal. Digital health · 2026Review
- Multiscale computational modeling of the cardiopulmonary consequences of postnatal hyperoxia with implications for preterm-born children.Biomechanics and modeling in mechanobiology · 2026Article
- Nonlinear Feature-Based MI Detection Supported by DWT and EMD on ECG: A High-Performance Decision Support Approach.Biosensors · 2026Article
34 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
11 authors at 8 institutions in 2 countries.
Funding
Abstract
Precision medicine is a new frontier in healthcare that uses scientific methods to customize medical treatment to the individual genes, anatomy, physiology, and lifestyle of each person. In cardiovascular health, precision medicine has emerged as a promising paradigm to enable cost-effective solutions that improve quality of life and reduce mortality rates. However, the exact role in precision medicine for human heart modeling has not yet been fully explored. Here, we discuss the challenges and opportunities for personalized human heart simulations, from diagnosis to device design, treatment planning, and prognosis. With a view toward personalization, we map out the history of anatomic, physical, and constitutive human heart models throughout the past three decades. We illustrate recent human heart modeling in electrophysiology, cardiac mechanics, and fluid dynamics and highlight clinically relevant applications of these models for drug development, pacing lead failure, heart failure, ventricular assist devices, edge-to-edge repair, and annuloplasty. With a view toward translational medicine, we provide a clinical perspective on virtual imaging trials and a regulatory perspective on medical device innovation. We show that precision medicine in human heart modeling does not necessarily require a fully personalized, high-resolution whole heart model with an entire personalized medical history. Instead, we advocate for creating personalized models out of population-based libraries with geometric, biological, physical, and clinical information by morphing between clinical data and medical histories from cohorts of patients using machine learning. We anticipate that this perspective will shape the path toward introducing human heart simulations into precision medicine with the ultimate goals to facilitate clinical decision making, guide treatment planning, and accelerate device design.
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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.