Evidence map›Paper›PMID 37417294›Full record

ArticleCancer biology & medicine2023

A quick and reliable image-based AI algorithm for evaluating cellular senescence of gastric organoids.

Ruixin Yang, Yutong Du, Wingyan Kwan, Ranlin Yan, Qimeng Shi, Lu Zang, Zhenggang Zhu, Jianming Zhang, Chen Li, Yingyan Yu

Open access · goldAbstract read
In one paragraph

Article in Cancer biology & medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

14 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
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  3. Multiscale Construction, Evaluation, and Application of Organoids.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
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  7. Artificial intelligence efficiently predicts gastric lesions,Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2024
    Article
  8. [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
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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

10 authors at 2 institutions in 1 country.

Ruixin Yang *Department of General Surgery of Ruijin Hospital, Shanghai Institute of Digestive Surgery, Shanghai Key Laboratory for Gastric Neoplasms, Shanghai Jiaotong University School of Medicine, Shanghai 200025, China.
Yutong Du *Department of General Surgery of Ruijin Hospital, Shanghai Institute of Digestive Surgery, Shanghai Key Laboratory for Gastric Neoplasms, Shanghai Jiaotong University School of Medicine, Shanghai 200025, China.
Wingyan KwanDepartment of General Surgery of Ruijin Hospital, Shanghai Institute of Digestive Surgery, Shanghai Key Laboratory for Gastric Neoplasms, Shanghai Jiaotong University School of Medicine, Shanghai 200025, China.
Ranlin YanDepartment of General Surgery of Ruijin Hospital, Shanghai Institute of Digestive Surgery, Shanghai Key Laboratory for Gastric Neoplasms, Shanghai Jiaotong University School of Medicine, Shanghai 200025, China.
Qimeng ShiDepartment of General Surgery of Ruijin Hospital, Shanghai Institute of Digestive Surgery, Shanghai Key Laboratory for Gastric Neoplasms, Shanghai Jiaotong University School of Medicine, Shanghai 200025, China.
Lu ZangDepartment of General Surgery of Ruijin Hospital, Shanghai Institute of Digestive Surgery, Shanghai Key Laboratory for Gastric Neoplasms, Shanghai Jiaotong University School of Medicine, Shanghai 200025, China.
Zhenggang ZhuDepartment of General Surgery of Ruijin Hospital, Shanghai Institute of Digestive Surgery, Shanghai Key Laboratory for Gastric Neoplasms, Shanghai Jiaotong University School of Medicine, Shanghai 200025, China.
Jianming ZhangInstitute of Translational Medicine, Zhangjiang Institute for Advanced Study, Shanghai Jiao Tong University, Shanghai 201210, China.
Chen LiDepartment of General Surgery of Ruijin Hospital, Shanghai Institute of Digestive Surgery, Shanghai Key Laboratory for Gastric Neoplasms, Shanghai Jiaotong University School of Medicine, Shanghai 200025, China.ORCID 0000-0002-7157-5202
Yingyan YuDepartment of General Surgery of Ruijin Hospital, Shanghai Institute of Digestive Surgery, Shanghai Key Laboratory for Gastric Neoplasms, Shanghai Jiaotong University School of Medicine, Shanghai 200025, China.ORCID 0000-0002-3585-3252
Ruijin Hospital · CNShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveOrganoids are a powerful tool with broad application prospects in biomedicine. Notably, they provide alternatives to animal models for testing potential drugs before clinical trials. However, the number of passages for which organoids maintain cellular vitality

methodsHerein, we constructed 55 gastric organoids from 35 individuals, serially passaged the organoids, and captured microscopic images for phenotypic evaluation. Senescence-associated β-galactosidase (SA-β-Gal), cell diameter in suspension, and gene expression reflecting cell cycle regulation were examined. The YOLOv3 object detection algorithm integrated with a convolutional block attention module (CBAM) was used to evaluate organoid vitality.

resultsSA-β-Gal staining intensity; single-cell diameter; and expression of

conclusionsGiven the lack of indicators for evaluating organoid growth status, we established a reliable approach for integrated analysis of phenotypic parameters that uses an artificial intelligence algorithm to indicate organoid vitality. This method enables precise evaluation of organoid status in biomedical studies and monitoring of living biobanks.

Indexed as

Artificial IntelligenceCellular SenescenceAgingAnimalsCell CycleHumansOrganoidsartificial intelligencecellular senescenceGastric cancerorganoidssenescence-associated β-galactosidase

Identifiers

PMID37417294
PMCPMC10466441
OpenAlexW4383481850

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.