Evidence map›Paper›PMID 34516907›Full record

ArticleScience advances2021

3D printed personalized magnetic micromachines from patient blood-derived biomaterials.

Hakan Ceylan, Nihal Olcay Dogan, Immihan Ceren Yasa, Mirac Nur Musaoglu, Zeynep Umut Kulali, Metin Sitti

Abstract read
In one paragraph

Article in Science advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Article
  2. Article
  3. Enzymatic microbubble robots.Nature nanotechnology · 2026
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  8. Review
  9. Article
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  11. Quadrupole Magnetic Tweezers for Precise Cell Transportation.IEEE transactions on bio-medical engineering · 2025
    Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. 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

6 authors.

Hakan CeylanPhysical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany.ORCID 0000-0002-5928-5675
Nihal Olcay DoganPhysical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany.ORCID 0000-0003-2961-2943
Immihan Ceren YasaPhysical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany.ORCID 0000-0002-5013-7246
Mirac Nur MusaogluPhysical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany.ORCID 0000-0002-7298-9909
Zeynep Umut KulaliPhysical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany.ORCID 0000-0002-8956-9804
Metin SittiPhysical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany.ORCID 0000-0001-8249-3854

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While recent wireless micromachines have shown increasing potential for medical use, their potential safety risks concerning biocompatibility need to be mitigated. They are typically constructed from materials that are not intrinsically compatible with physiological environments. Here, we propose a personalized approach by using patient blood–derivable biomaterials as the main construction fabric of wireless medical micromachines to alleviate safety risks from biocompatibility. We demonstrate 3D printed multiresponsive microswimmers and microrollers made from magnetic nanocomposites of blood plasma, serum albumin protein, and platelet lysate. These micromachines respond to time-variant magnetic fields for torque-driven steerable motion and exhibit multiple cycles of pH-responsive two-way shape memory behavior for controlled cargo delivery and release applications. Their proteinaceous fabrics enable enzymatic degradability with proteinases, thereby lowering risks of long-term toxicity. The personalized micromachine fabrication strategy we conceptualize here can affect various future medical robots and devices made of autologous biomaterials to improve biocompatibility and smart functionality.

Identifiers

PMID34516907
PMCPMC8442928

What OpenQuestion holds

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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.