Evidence map›Paper›PMID 40957563›Full record

ArticleJournal of the Royal Society, Interface2025

Quantifying biological heterogeneity in nano-engineered particle-cell interaction experiments.

Ryan J Murphy, Matthew Faria, James M Osborne, Stuart T Johnston

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of the Royal Society, Interface, 2025. 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
–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

2 citing papers in PubMed.

  1. 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.

Ryan J MurphyUniSA STEM, The University of South Australia, Mawson Lakes, South Australia 5095, Australia.ORCID 0000-0002-9844-6734
Matthew FariaDepartment of Biomedical Engineering, The University of Melbourne, Parkville, Victoria 3010, Australia.ORCID 0000-0003-1729-5813
James M OsborneSchool of Mathematics and Statistics, The University of Melbourne, Parkville, Victoria 3010, Australia.ORCID 0000-0002-5622-0104
Stuart T JohnstonSchool of Mathematics and Statistics, The University of Melbourne, Parkville, Victoria 3010, Australia.ORCID 0000-0003-4532-5573

Funding

Australian Research CouncilCass Foundation
6 · The paper itself

Abstract

Nano-engineered particles are a promising tool for medical diagnostics, biomedical imaging and targeted drug delivery. Fundamental to the assessment of particle performance are

Indexed as

Cell CommunicationModels, BiologicalNanoparticlesBayes TheoremHumansapproximate Bayesian computationheterogeneitymathematical modellingnano-engineered particleparameter estimationparticle–cell interactionprediction

Identifiers

PMID40957563
PMCPMC12440624

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.