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Record W2620741757 · doi:10.1177/0885328217708639

A two-stage cold isostatic pressing and gelling approach for fabricating a therapeutically loaded amorphous calcium polyphosphate local delivery system

2017· article· en· W2620741757 on OpenAlexaff
Patricia Comeau, Mark Filiaggi

Bibliographic record

VenueJournal of Biomaterials Applications · 2017
Typearticle
Languageen
FieldMedicine
TopicOrthopedic Infections and Treatments
Canadian institutionsDalhousie University
Fundersnot available
KeywordsPolyphosphateMaterials scienceCalciumPressingDelivery systemHot isostatic pressingBeadSinteringBiomedical engineeringComposite materialMedicineMetallurgyChemistryBiochemistry

Abstract

fetched live from OpenAlex

Local delivery systems have taken on a greater clinical focus for osteomyelitis therapy owing to their ability to overcome many disadvantages of systemic delivery. This study reports for the first time the capacity to fabricate strontium- and vancomycin-doped calcium polyphosphate beads using a two-stage cold isostatic pressing and gelling approach. The fabricated beads were of uniform shape and diameter, and upon gelling exhibited reduced porosity. Of greatest significance in the subsequent in vitro study was the improvement of bead long-term structural stability upon vancomycin incorporation; a characteristic that further encourages the extended release of therapeutically relevant levels of antibiotic. Overall, this study provides support for the inclusion of a cold isostatic pressing step in the fabrication of a therapeutically loaded calcium polyphosphate bead-based local delivery system intended for osteomyelitis treatment.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.038
GPT teacher head0.327
Teacher spread0.289 · 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 source (direct Gemma or distilled Codex), 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

Citations4
Published2017
Admission routes1
Has abstractyes

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