Evidence map›Paper›PMID 39866785›Full record

ReviewMaterials today. Bio2025

Biomaterial-assisted organoid technology for disease modeling and drug screening.

Yunyuan Shao, Juncheng Wang, Anqi Jin, Shicui Jiang, Lanjie Lei, Liangle Liu

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Materials today. Bio, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Review
  2. Review
  3. Organoid technology in cancer research.Molecular biomedicine · 2026
    Review
  4. Article
  5. Review
  6. Review
  7. Review
  8. Biomaterials in organoid research: current state and future directions.Frontiers in bioengineering and biotechnology · 2026
    Review
  9. Review
  10. Review
  11. Review
  12. Review
  13. Review
  14. Review
  15. Review
  16. Article
  17. Review
  18. Developing Biomaterial-Based mRNA Delivery System for Lung Disease Treatment.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  19. Review
  20. 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.

Yunyuan ShaoKey Laboratory of Artificial Organs and Computational Medicine in Zhejiang Province, Institute of Translational Medicine, Zhejiang Shuren University, Hangzhou, 310015, China.
Juncheng WangThe Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325200, China.
Anqi JinKey Laboratory of Artificial Organs and Computational Medicine in Zhejiang Province, Institute of Translational Medicine, Zhejiang Shuren University, Hangzhou, 310015, China.
Shicui JiangThe Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325200, China.
Lanjie LeiKey Laboratory of Artificial Organs and Computational Medicine in Zhejiang Province, Institute of Translational Medicine, Zhejiang Shuren University, Hangzhou, 310015, China.
Liangle LiuThe Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325200, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Developing disease models and screening for effective drugs are key areas of modern medical research. Traditional methodologies frequently fall short in precisely replicating the intricate architecture of bodily tissues and organs. Nevertheless, recent advancements in biomaterial-assisted organoid technology have ushered in a paradigm shift in biomedical research. This innovative approach enables the cultivation of three-dimensional cellular structures

Indexed as

BiomaterialDisease modelingDrug screeningOrganoid technology

Identifiers

PMID39866785
PMCPMC11757232

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.