Evidence map›Paper›PMID 41058719›Full record

ArticleSmall science2025

Strategies for Navigating Magnetic Microrobots in Neurovascular Networks: A Numerical Analysis.

Pedro G Alves, Maria Pinto, Rosa Moreira, Derick Sivakumaran, Fabian Landers, Maria Guix, Bradley J Nelson, Andreas D Flouris, Salvador Pané, Josep Puigmartí-Luis and 1 more

Abstract read
In one paragraph

Article in Small science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

11 authors.

Pedro G AlvesTransport Phenomena Research Centre (CEFT) Engineering Faculty Porto University Rua Dr. Roberto Frias 4200-465 Porto Portugal.
Maria PintoExperian 4200-205 Porto Portugal.
Rosa MoreiraExperian 4200-205 Porto Portugal.
Derick SivakumaranMagnebotix Rütistrasse 14 8952 Zürich Schlieren Switzerland.
Fabian LandersMulti-Scale Robotics Lab ETH Zurich Tannenstrasse 3 8006 Zürich Switzerland.
Maria GuixDepart. de Ciència dels Materials i Química Física and Institut de Química Teòrica i Computacional University of Barcelona Martí i Franquès 1-11 08028 Barcelona Spain.
Bradley J NelsonMulti-Scale Robotics Lab ETH Zurich Tannenstrasse 3 8006 Zürich Switzerland.
Andreas D FlourisFAME Laboratory Department of Exercise Science University of Thessaly Karies Trikala Thessaly 42100 Greece.
Salvador PanéMulti-Scale Robotics Lab ETH Zurich Tannenstrasse 3 8006 Zürich Switzerland.ORCID https://orcid.org/0000-0003-0147-8287
Josep Puigmartí-LuisDepart. de Ciència dels Materials i Química Física and Institut de Química Teòrica i Computacional University of Barcelona Martí i Franquès 1-11 08028 Barcelona Spain.
Tiago S MayorTransport Phenomena Research Centre (CEFT) Engineering Faculty Porto University Rua Dr. Roberto Frias 4200-465 Porto Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

First-line therapy for ischemic stroke relies on the systemic administration of thrombolytics for dissolving clots affecting brain perfusion. However, because conservative dosages are used to avoid off-target toxicity and side effects, the systemic route is often unable to deal with large clots in a timely manner. Targeted delivery of thrombolytics could be the solution if microrobots carrying the drugs could be navigated through the patient's neurovascular network to locally administer them directly to the clot. Herein, the steering of magnetic microrobots along a patient-specific neurovascular network is numerically studied, for optimizing the navigation of the microrobots to target vessels often obstructed in ischemic stroke. It is found that spatially constant magnetic gradients can be used to navigate the microrobots to the target vessels and describe various navigation strategies that can be used by health professionals to reach different positions in the vasculature. Equations are developed to predict the required magnetic gradients as a function of the microrobot diameter, which are key for the development of magnetic navigation systems that can autonomously navigate microrobots through neurovascular networks. These findings open exciting possibilities for exploring targeted drug delivery approaches in clinical settings.

Indexed as

blood flow simulationsdrug deliverymagnetic manipulationmicrorobotsneurovascular networksnumerical simulations

Identifiers

PMID41058719
PMCPMC12499408

What OpenQuestion holds

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LicenceCC BY
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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.