Evidence map›Paper›PMID 37630179›Full record

ReviewMicromachines2023

Biohybrid Soft Robots Powered by Myocyte: Current Progress and Future Perspectives.

Zheng Yuan, Qinghao Guo, Delu Jin, Peifan Zhang, Wenguang Yang

Abstract readReview
In one paragraph

Review in Micromachines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Modal analysis and optimization of swimming active filaments.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025
    Article
  4. Yeast-Driven and Bioimpedance-Sensitive Biohybrid Soft Robots.Cyborg and bionic systems (Washington, D.C.) · 2025
    Article
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.

Zheng YuanSchool of Electromechanical and Automotive Engineering, Yantai University, Yantai 264005, China.
Qinghao GuoSchool of Electromechanical and Automotive Engineering, Yantai University, Yantai 264005, China.
Delu JinSchool of Human Ities and Social Science, Xi'an Jiaotong University, Xi'an 710049, China.
Peifan ZhangControl Science and Engineering, Naval Aviation University, Yantai 264001, China.
Wenguang YangSchool of Electromechanical and Automotive Engineering, Yantai University, Yantai 264005, China.ORCID 0000-0002-1560-665X

Funding

National Natural Science Foundation of China 62273289The Youth Innovation Science and Technology Support Program of Shandong Province 2022KJ274
6 · The paper itself

Abstract

Myocyte-driven robots, a type of biological actuator that combines myocytes with abiotic systems, have gained significant attention due to their high energy efficiency, sensitivity, biocompatibility, and self-healing capabilities. These robots have a unique advantage in simulating the structure and function of human tissues and organs. This review covers the research progress in this field, detailing the benefits of myocyte-driven robots over traditional methods, the materials used in their fabrication (including myocytes and extracellular materials), and their properties and manufacturing techniques. Additionally, the review explores various control methods, robot structures, and motion types. Lastly, the potential applications and key challenges faced by myocyte-driven robots are discussed and summarized.

Indexed as

biological designmanufacturing techniquesmyocyte-driven robots

Identifiers

PMID37630179
PMCPMC10456826

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.