Evidence map›Paper›PMID 38671732›Full record

ReviewBioengineering (Basel, Switzerland)2024

Bio-Hybrid Magnetic Robots: From Bioengineering to Targeted Therapy.

Qian Zhang, Yun Zeng, Yang Zhao, Xuqi Peng, En Ren, Gang Liu

Abstract readReview
In one paragraph

Review in Bioengineering (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Treatment of lung diseasesMaterials today. Bio · 2025
    Review
  5. Review
  6. 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.

Qian ZhangInstitute of Artificial Intelligence, Xiamen University, Xiamen 361005, China.
Yun ZengInstitute of Artificial Intelligence, Xiamen University, Xiamen 361005, China.
Yang ZhaoInstitute of Artificial Intelligence, Xiamen University, Xiamen 361005, China.ORCID 0000-0002-6386-2586
Xuqi PengInstitute of Artificial Intelligence, Xiamen University, Xiamen 361005, China.
En RenInstitute of Artificial Intelligence, Xiamen University, Xiamen 361005, China.
Gang LiuInstitute of Artificial Intelligence, Xiamen University, Xiamen 361005, China.ORCID 0000-0003-2613-7286

Funding

National Natural Science Foundation of China 81925019 and U22A20333
6 · The paper itself

Abstract

Magnetic robots possess an innate ability to navigate through hard-to-reach cavities in the human body, making them promising tools for diagnosing and treating diseases minimally invasively. Despite significant advances, the development of robots with desirable locomotion and full biocompatibility under harsh physiological conditions remains challenging, which put forward new requirements for magnetic robots' design and material synthesis. Compared to robots that are synthesized with inorganic materials, natural organisms like cells, bacteria or other microalgae exhibit ideal properties for in vivo applications, such as biocompatibility, deformability, auto-fluorescence, and self-propulsion, as well as easy for functional therapeutics engineering. In the process, these organisms can provide autonomous propulsion in biological fluids or external magnetic fields, while retaining their functionalities with integrating artificial robots, thus aiding targeted therapeutic delivery. This kind of robotics is named bio-hybrid magnetic robotics, and in this mini-review, recent progress including their design, engineering and potential for therapeutics delivery will be discussed. Additionally, the historical context and prominent examples will be introduced, and the complexities, potential pitfalls, and opportunities associated with bio-hybrid magnetic robotics will be discussed.

Indexed as

bioengineeringdrug deliverymagnetic roboticsnatural organismstargeted therapy

Identifiers

PMID38671732
PMCPMC11047666

What Socratic 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 Socratic graph.