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3D Printed Untethered Magnetic Bulb for Liquid Biopsy and Drug Delivery

2024· article· en· W4401329159 on OpenAlexafffund
Zhaoxin Li, Changyan He, Akshat Verma, Eric Diller

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMicro and Nano Robotics
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
Keywords3d printedDrug deliveryComputer scienceBiomedical engineeringMaterials scienceEngineeringNanotechnology

Abstract

fetched live from OpenAlex

The untethered manipulation of miniature mag-netic mechanisms holds promise for applications in liquid biopsy and drug delivery within the human body. However, employing microrobots for precise liquid manipulation still remains an open challenge. In this study, a novel magnetic mechanism, “magnetic bulb”, which is a millimeter-scale structure resembling pipette rubber bulb, is fabricated using our lab-developed Digital Light Processing-based (DLP-based) 3D printing system. The magnetic bulb can be actuated by magnetic fields to perform various tasks such as sampling, transportation, and controlled release of target liquids. Served as a modular design, the magnetic bulb is assembled with robust external cage to develop an integrated bulb-cage capsule with enhanced sampling capability and resistance to external compression. The resulting capsule has demonstrated effective fluid sampling within a stomach model and drug delivery to biological tissues. Additionally, a magnetic swimmer is crafted by 3D-printing a helical tail onto the magnetic bulb, exhibiting improved locomotion capability and maneuverability by magnetic fields in aerial-aquatic scenarios.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.612
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.228
Teacher spread0.221 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2024
Admission routes2
Has abstractyes

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