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Record W4402527526 · doi:10.37349/ebmx.2024.00018

Advancements in surface modification strategies of vascular grafts to improve biocompatibility and tissue integration

2024· article· en· W4402527526 on OpenAlexaff
Noor Abu Jarad, Andrew Chami, Jeffrey I. Weitz, Tohid F. Didar

Bibliographic record

VenueExploration of BioMat-X · 2024
Typearticle
Languageen
FieldMaterials Science
TopicElectrospun Nanofibers in Biomedical Applications
Canadian institutionsThrombosis and Atherosclerosis Research InstituteMcMaster University
Fundersnot available
KeywordsBiocompatibilitySurface modificationTissue engineeringMedicineBiomedical engineeringAdhesionThrombosisClinical PracticeMaterials scienceSurgeryChemistry

Abstract

fetched live from OpenAlex

Improving the performance of blood-contacting medical implants is a global health necessity aimed at reducing mortality and morbidity in patients with cardiovascular diseases. Surface modification of the biomaterials from which the vascular grafts are constructed has been used to reduce the risk of complications such as thrombosis and infection. Herein with a focus on vascular tissue engineering, we provided an overview of (a) fundamental hemodynamic considerations for blood-contacting biomaterials, (b) surface modification strategies to attenuate nonspecific adhesion of proteins, improve hemocompatibility, and induce the formation of a confluent endothelial lining, and (c) the guidelines for the clinical development of surface modified biomaterials.

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 score0.247
Threshold uncertainty score0.372

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.024
GPT teacher head0.324
Teacher spread0.300 · 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

Citations10
Published2024
Admission routes1
Has abstractyes

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