Evidence map›Paper›PMID 24427530›Full record

ArticleInterface focus2013

Flexible composition and execution of high performance, high fidelity multiscale biomedical simulations.

D Groen, J Borgdorff, C Bona-Casas, J Hetherington, R W Nash, S J Zasada, I Saverchenko, M Mamonski, K Kurowski, M O Bernabeu and 2 more

Abstract read
In one paragraph

Article in Interface focus, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Towards the virtual artery: a multiscale model for vascular physiology at the physics-chemistry-biology interface.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2016
    Article
  4. Article
  5. Performance of distributed multiscale simulations.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2014
    Article
  6. A framework for multi-scale modelling.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2014
    Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

D GroenCentre for Computational Science, University College London, UK.
J BorgdorffSection Computational Science, University of Amsterdam, The Netherlands.
C Bona-CasasSection Computational Science, University of Amsterdam, The Netherlands.
J HetheringtonCentre for Computational Science, University College London, UK.
R W NashCentre for Computational Science, University College London, UK.
S J ZasadaCentre for Computational Science, University College London, UK.
I SaverchenkoLeibniz-Rechenzentrum, Garching, Germany.
M MamonskiPoznan Supercomputing and Networking Center, Poznan, Poland.
K KurowskiPoznan Supercomputing and Networking Center, Poznan, Poland.
M O BernabeuCentre for Computational Science, University College London, UK.
A G HoekstraSection Computational Science, University of Amsterdam, The Netherlands.
P V CoveneyCentre for Computational Science, University College London, UK.

Funding

Medical Research Council MR/K006584/1
6 · The paper itself

Abstract

Multiscale simulations are essential in the biomedical domain to accurately model human physiology. We present a modular approach for designing, constructing and executing multiscale simulations on a wide range of resources, from laptops to petascale supercomputers, including combinations of these. Our work features two multiscale applications, in-stent restenosis and cerebrovascular bloodflow, which combine multiple existing single-scale applications to create a multiscale simulation. These applications can be efficiently coupled, deployed and executed on computers up to the largest (peta) scale, incurring a coupling overhead of 1-10% of the total execution time.

Indexed as

blood flowcerebrovascular bloodflowdistributed computinghigh performance computingin-stent restenosismultiscale modelling

Identifiers

PMID24427530
PMCPMC3638484

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.