ArticleInterface focus2021
Towards blood flow in the virtual human: efficient self-coupling of HemeLB.
Article in Interface focus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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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Who cites it
8 citing papers in PubMed, 22 citations in OpenAlex.
- A Generative Patient Digital Twin for Sequential Treatment of Oropharyngeal Squamous Carcinomas.medRxiv : the preprint server for health sciences · 2025Article
- DITTO: A Visual Digital Twin for Interventions and Temporal Treatment Outcomes in Head and Neck Cancer.IEEE transactions on visualization and computer graphics · 2025Article
- Uncertainty quantification of the lattice Boltzmann method focussing on studies of human-scale vascular blood flow.Scientific reports · 2024Article
- High resolution simulation of basilar artery infarct and flow within the circle of Willis.Scientific reports · 2023Article
- Parametric analysis of an efficient boundary condition to control outlet flow rates in large arterial networks.Scientific reports · 2022Article
- An efficient, localised approach for the simulation of elastic blood vessels using the lattice Boltzmann method.Scientific reports · 2021Article
- High fidelity blood flow in a patient-specific arteriovenous fistula.Scientific reports · 2021Article
- From digital hype to analogue reality: Universal simulation beyond the quantum and exascale eras.Journal of computational science · 2020Article
Corrections and comments
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Authors and funding
15 authors at 5 institutions in 5 countries.
Funding
Abstract
Many scientific and medical researchers are working towards the creation of a virtual human-a personalized digital copy of an individual-that will assist in a patient's diagnosis, treatment and recovery. The complex nature of living systems means that the development of this remains a major challenge. We describe progress in enabling the HemeLB lattice Boltzmann code to simulate 3D macroscopic blood flow on a full human scale. Significant developments in memory management and load balancing allow near linear scaling performance of the code on hundreds of thousands of computer cores. Integral to the construction of a virtual human, we also outline the implementation of a self-coupling strategy for HemeLB. This allows simultaneous simulation of arterial and venous vascular trees based on human-specific geometries.
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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.