Evidence map›Paper›PMID 32719585›Full record

ArticleFrontiers in cellular neuroscience2020

Convolutional Neural Networks Can Predict Retinal Differentiation in Retinal Organoids.

Evgenii Kegeles, Anton Naumov, Evgeny A Karpulevich, Pavel Volchkov, Petr Baranov

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cellular neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 5% 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

44 citing papers in PubMed, 1 synthesis or guideline pooled it, 65 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. Review
  15. Article
  16. Application of human cardiac organoids in cardiovascular disease research.Frontiers in cell and developmental biology · 2025
    Review
  17. Review on Advancement of AI in Cell Engineering and Molecular Biology.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
  18. Article
  19. Review
  20. [A review on depth perception techniques in organoid images].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2024
    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

5 authors at 5 institutions in 2 countries.

Evgenii KegelesDepartment of Ophthalmology, The Schepens Eye Research Institute of Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, United States.
Anton NaumovDepartment of Information Systems, Ivannikov Institute for System Programming of the Russian Academy of Sciences, Moscow, Russia.
Evgeny A KarpulevichGenome Technologies and Bioinformatics Research Centre, Moscow Institute of Physics and Technology, Dolgoprudniy, Russia.
Pavel VolchkovGenome Technologies and Bioinformatics Research Centre, Moscow Institute of Physics and Technology, Dolgoprudniy, Russia.
Petr BaranovDepartment of Ophthalmology, The Schepens Eye Research Institute of Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, United States.
Harvard University · USInstitute for System Programming · RUKurchatov Institute · RUMassachusetts Eye and Ear Infirmary · USMoscow Institute of Physics and Technology · RU

Funding

VISION RESEARCHP30EY003790 · NEI · SCHEPENS EYE RESEARCH INSTITUTE · PI Patricia Ann D'Amore · 1985 to 2026
$25.5M
Retinal Ganglion Cell Replacement in Clinically Relevant Models of Optic NeuropathyU24EY029893 · NEI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BARANOV, PETR, REX, TONIA S · 2018 to 2022
$7.2M
NEI NIH HHS P30 EY003790NEI NIH HHS U24 EY029893
6 · The paper itself

Abstract

We have developed a deep learning-based computer algorithm to recognize and predict retinal differentiation in stem cell-derived organoids based on bright-field imaging. The three-dimensional "organoid" approach for the differentiation of pluripotent stem cells (PSC) into retinal and other neural tissues has become a major

Indexed as

convolutional neural networksdeep learningmouse embryonic stem cellsretinal organoidsstem cells

Identifiers

PMID32719585
PMCPMC7350982
OpenAlexW3040538810

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.