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Record W4399107342 · doi:10.1063/5.0203847

Effects of ferrohydrodynamics on drug transport and retention in drug eluting stents

2024· article· en· W4399107342 on OpenAlexafffund
Seyed Masoud Vahedi, Jalel Azaiez

Bibliographic record

VenuePhysics of Fluids · 2024
Typearticle
Languageen
FieldEngineering
TopicCharacterization and Applications of Magnetic Nanoparticles
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsDrugPhysicsPolymerDrug deliveryNanotechnologyMedicinePharmacologyNuclear magnetic resonanceMaterials science

Abstract

fetched live from OpenAlex

This study examines the transport of magnetized drug particles (MPs) in drug-eluting stents (DESs). The governing equations for multi-species transport in a two-domain consisting of a polymer and media are formulated and solved using the finite volume method. The effects of an external magnetic field (MF) on the distribution of different drug species are analyzed. The MF was found to increase MP concentrations in the tissue and, unexpectedly, in the polymer at the same time. This counterintuitive finding was explained by analyzing the rates of transport through the polymer topcoat and the media top-layer. It was revealed that the rates of transport into and out of the media layer initially decrease and then increase with the MF, with an intermediate regime where the dynamics resemble those without MF. The maximum averaged free drug concentration in the tissue and that of the dissolved drug in the polymer were observed to increase exponentially with the MF implying on the fact that drug delivery becomes more sensitive to the MF at its larger strength. Tracking the drug center of mass revealed a nonmonotonic variation with time consisting of two linear regimes on a time log scale. The slopes of the first regime decreases with the MF while that of the second one is unaffected by the MF. The transition time was shown to increase almost linearly with the MF. The results of this study have promising applications in palliating the tendency for low drug retention from which current DES suffers.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.381
Threshold uncertainty score0.273

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)0.0000.000

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 head0.005
GPT teacher head0.202
Teacher spread0.197 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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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