Evidence map›Paper›PMID 36001689›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

Will microfluidics enable functionally integrated biohybrid robots?

Miriam Filippi, Oncay Yasa, Roger Dale Kamm, Ritu Raman, Robert K Katzschmann

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
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  6. Article
  7. Article
  8. Review
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  10. Review
  11. Yeast-Driven and Bioimpedance-Sensitive Biohybrid Soft Robots.Cyborg and bionic systems (Washington, D.C.) · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Next-Generation Microfluidics for Biomedical Research and Healthcare Applications.Biomedical engineering and computational biology · 2023
    Review
  19. 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.

Miriam FilippiSoft Robotics Laboratory, Department of Mechanical Engineering, Eidgenossische Technische Hochschule Zurich, 8092 Zurich, Switzerland.ORCID 0000-0002-9651-406X
Oncay YasaSoft Robotics Laboratory, Department of Mechanical Engineering, Eidgenossische Technische Hochschule Zurich, 8092 Zurich, Switzerland.
Roger Dale KammDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139.ORCID 0000-0002-7232-304X
Ritu RamanDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139.
Robert K KatzschmannSoft Robotics Laboratory, Department of Mechanical Engineering, Eidgenossische Technische Hochschule Zurich, 8092 Zurich, Switzerland.ORCID 0000-0001-7143-7259

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The next robotics frontier will be led by biohybrids. Capable biohybrid robots require microfluidics to sustain, improve, and scale the architectural complexity of their core ingredient: biological tissues. Advances in microfluidics have already revolutionized disease modeling and drug development, and are positioned to impact regenerative medicine but have yet to apply to biohybrids. Fusing microfluidics with living materials will improve tissue perfusion and maturation, and enable precise patterning of sensing, processing, and control elements. This perspective suggests future developments in advanced biohybrids.

Indexed as

Biomimetic MaterialsCellsMicrofluidicsRoboticsbioactuatorsbiohybrid roboticsmicrofluidicssoft roboticstissue engineering

Identifiers

PMID36001689
PMCPMC9436346

What OpenQuestion holds

Textmetadata
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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.