Evidence map›Paper›PMID 40302783›Full record

ReviewResearch (Washington, D.C.)2025

Microrobotic Swarms for Cancer Therapy.

Leiming Xie, Jinbo Liu, Zhen Yang, Hui Chen, Yibin Wang, Xingzhou Du, Yongping Fu, Peng Song, Jiangfan Yu

Abstract readReview
In one paragraph

Review in Research (Washington, D.C.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. [Research progress on the application of pollen in the biomedical field].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2026
    Review
  2. Article
  3. Article
  4. Review
  5. Magnetic nanoparticles as promising materials for the future of medicine.Journal of materials science. Materials in medicine · 2026
    Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. 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

9 authors.

Leiming XieShenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS), Shenzhen 518129, China.ORCID https://orcid.org/0000-0003-1067-647X
Jinbo LiuShenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS), Shenzhen 518129, China.
Zhen YangShenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS), Shenzhen 518129, China.
Hui ChenShenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS), Shenzhen 518129, China.
Yibin WangShenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS), Shenzhen 518129, China.
Xingzhou DuShenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS), Shenzhen 518129, China.
Yongping FuDepartment of Cardiovascular Medicine, Affiliated Hospital of Shaoxing University, Shaoxing 312000, China.
Peng SongDepartment of Interventional Therapy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital and Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen 518116, China.
Jiangfan YuShenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS), Shenzhen 518129, China.ORCID https://orcid.org/0000-0002-7981-6744

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microrobotic swarms hold great promise for the revolution of cancer treatment. The coordination of miniaturized microrobots offers a unique approach to treating cancers at the cellular level with enhanced delivery efficiency and environmental adaptability. Prior studies have summarized the design, functionalization, and biomedical applications of microrobotic swarms. The strategies for actuation and motion control of swarms have also been introduced. In this review, we first give a detailed introduction to microrobot swarming. We then explore the design of microrobots and microrobotic swarms specifically engineered for cancer therapy, with a focus on tumor targeting, infiltration, and therapeutic efficacy. Moreover, the latest developments in active delivery methods and imaging techniques that enhance the precision of these systems are discussed. Finally, we categorize and analyze the various cancer therapies facilitated by functional microrobotic swarms, highlighting their potential to revolutionize treatment strategies for different cancer types.

Identifiers

PMID40302783
PMCPMC12038165

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.