Evidence map›Paper›PMID 37669694›Full record

ArticleJournal of the Royal Society, Interface2023

Mathematical modelling with Bayesian inference to quantitatively characterize therapeutic cell behaviour in nerve tissue engineering.

Maxime Berg, Despoina Eleftheriadou, James B Phillips, Rebecca J Shipley

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of the Royal Society, Interface, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 41% of its field
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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Bayesian Uncertainty Quantification for A Fractional-Order Model of the Human Ear.Journal of the Association for Research in Otolaryngology : JARO · 2026
    Article
  2. 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

4 authors at 1 institution in 1 country.

Maxime BergCentre for Nerve Engineering, University College London, WC1E 6BT London, UK.ORCID 0000-0003-1403-1978
Despoina EleftheriadouCentre for Nerve Engineering, University College London, WC1E 6BT London, UK.
James B PhillipsCentre for Nerve Engineering, University College London, WC1E 6BT London, UK.ORCID 0000-0001-8117-3074
Rebecca J ShipleyCentre for Nerve Engineering, University College London, WC1E 6BT London, UK.ORCID 0000-0002-2818-6228
Nerve Centre · GB

Funding

Biotechnology and Biological Sciences Research CouncilMedical Research Council MR/R025673/1
6 · The paper itself

Abstract

Cellular engineered neural tissues have significant potential to improve peripheral nerve repair strategies. Traditional approaches depend on quantifying tissue behaviours using experiments in isolation, presenting a challenge for an overarching framework for tissue design. By comparison, mathematical cell-solute models benchmarked against experimental data enable computational experiments to be performed to test the role of biological/biophysical mechanisms, as well as to explore the impact of different design scenarios and thus accelerate the development of new treatment strategies. Such models generally consist of a set of continuous, coupled, partial differential equations relying on a number of parameters and functional forms. They necessitate dedicated

Indexed as

Research DesignTissue EngineeringBayes TheoremBiophysicsUncertaintyBayesian inferencecell–solute modelmathematical modelmodel selectionnerve tissue engineering

Identifiers

PMID37669694
PMCPMC10480012
OpenAlexW4386448627

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.