Evidence map›Paper›PMID 38145008›Full record

ReviewCurrent stem cell reports2023

Human Stem Cells for Ophthalmology: Recent Advances in Diagnostic Image Analysis and Computational Modelling.

L E Wadkin, I Makarenko, N G Parker, A Shukurov, F C Figueiredo, M Lako

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Current stem cell reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

6 authors.

L E WadkinSchool of Mathematics, Statistics and Physics, Newcastle University, Newcastle upon Tyne, UK.ORCID https://orcid.org/0000-0001-7355-2023
I MakarenkoSchool of Mathematics, Statistics and Physics, Newcastle University, Newcastle upon Tyne, UK.ORCID https://orcid.org/0000-0002-0117-5975
N G ParkerSchool of Mathematics, Statistics and Physics, Newcastle University, Newcastle upon Tyne, UK.ORCID https://orcid.org/0000-0002-7238-8492
A ShukurovSchool of Mathematics, Statistics and Physics, Newcastle University, Newcastle upon Tyne, UK.ORCID https://orcid.org/0000-0001-6200-4304
F C FigueiredoDepartment of Ophthalmology, Royal Victoria Infirmary, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK.ORCID https://orcid.org/0000-0002-5876-288X
M LakoBiosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.ORCID https://orcid.org/0000-0003-1327-8573

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose of Review: To explore the advances and future research directions in image analysis and computational modelling of human stem cells (hSCs) for ophthalmological applications. Recent Findings: hSCs hold great potential in ocular regenerative medicine due to their application in cell-based therapies and in disease modelling and drug discovery using state-of-the-art 2D and 3D organoid models. However, a deeper characterisation of their complex, multi-scale properties is required to optimise their translation to clinical practice. Image analysis combined with computational modelling is a powerful tool to explore mechanisms of hSC behaviour and aid clinical diagnosis and therapy. Summary: Many computational models draw on a variety of techniques, often blending continuum and discrete approaches, and have been used to describe cell differentiation and self-organisation. Machine learning tools are having a significant impact in model development and improving image classification processes for clinical diagnosis and treatment and will be the focus of much future research.

Indexed as

Agent-based modellingDiagnostic image analysisHuman stem cellsMachine learningMathematical modellingOphthalmology

Identifiers

PMID38145008
PMCPMC10739444

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.