Evidence map›Paper›PMID 37285426›Full record

ArticleScience advances2023

In situ sensing physiological properties of biological tissues using wireless miniature soft robots.

Chunxiang Wang, Yingdan Wu, Xiaoguang Dong, Milena Armacki, Metin Sitti

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
17.8field-weighted citation impact, top 1% 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

38 citing papers in PubMed, 95 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. The Role of Extracted Free Chains in Adhesion on Soft Gel Surfaces.Langmuir : the ACS journal of surfaces and colloids · 2026
    Article
  5. Miniature Soft Robot With Magnetically Reprogrammable Surgical Functions.Advanced materials (Deerfield Beach, Fla.) · 2026
    Article
  6. Review
  7. Liquid Metals for Reconfigurable Bioelectronics.Advanced materials (Deerfield Beach, Fla.) · 2026
    Review
  8. Article
  9. Article
  10. Review
  11. Physical Intelligence in Small-Scale Robots and Machines.Advanced materials (Deerfield Beach, Fla.) · 2026
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
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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

5 authors at 5 institutions in 4 countries.

Chunxiang WangPhysical Intelligence Department, Max Planck Institute for Intelligent Systems, Stuttgart 70569, Germany.ORCID 0000-0002-6130-3553
Yingdan WuPhysical Intelligence Department, Max Planck Institute for Intelligent Systems, Stuttgart 70569, Germany.ORCID 0000-0002-4263-2888
Xiaoguang DongDepartment of Mechanical Engineering, Vanderbilt University, Nashville, TN 37235, USA.ORCID 0000-0002-9150-4014
Milena ArmackiUniversity Hospital Ulm, Ulm 89081, Germany.
Metin SittiPhysical Intelligence Department, Max Planck Institute for Intelligent Systems, Stuttgart 70569, Germany.ORCID 0000-0001-8249-3854
ETH Zurich · CHKoç University · TRMax Planck Institute for Intelligent Systems · DEUniversity Hospital Ulm · DEVanderbilt University · US

Funding

European Research Council 834531
6 · The paper itself

Abstract

Implanted electronic sensors, compared with conventional medical imaging, allow monitoring of advanced physiological properties of soft biological tissues continuously, such as adhesion, pH, viscoelasticity, and biomarkers for disease diagnosis. However, they are typically invasive, requiring being deployed by surgery, and frequently cause inflammation. Here we propose a minimally invasive method of using wireless miniature soft robots to in situ sense the physiological properties of tissues. By controlling robot-tissue interaction using external magnetic fields, visualized by medical imaging, we can recover tissue properties precisely from the robot shape and magnetic fields. We demonstrate that the robot can traverse tissues with multimodal locomotion and sense the adhesion, pH, and viscoelasticity on porcine and mice gastrointestinal tissues ex vivo, tracked by x-ray or ultrasound imaging. With the unprecedented capability of sensing tissue physiological properties with minimal invasion and high resolution deep inside our body, this technology can potentially enable critical applications in both basic research and clinical practice.

Indexed as

RoboticsAnimalsEquipment DesignLocomotionMiceSwineTechnology

Identifiers

PMID37285426
PMCPMC7614673
OpenAlexW4379621618

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.