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Record W2170050559 · doi:10.1002/jbm.b.33501

Tunable release of ophthalmic therapeutics from injectable, resorbable, thermoresponsive copolymer scaffolds

2015· article· en· W2170050559 on OpenAlexafffund
Graeme Prosperi‐Porta, Benjamin Muirhead, Heather Sheardown

Bibliographic record

VenueJournal of Biomedical Materials Research Part B Applied Biomaterials · 2015
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicAdvanced Drug Delivery Systems
Canadian institutionsMcMaster University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCopolymerAcrylamideMaterials scienceDrug deliveryPolymerPolymerizationPolymer chemistryRaftBiomedical engineeringNanotechnologyComposite materialMedicine

Abstract

fetched live from OpenAlex

The sustained release of ophthalmic therapeutics to the posterior segment of the eye is a challenge. Injectable polymer materials have the potential to reduce injection frequency by providing long term therapeutic delivery. Copolymers with varying N-isopropylacrylamide, acrylamide (AAm), acrylic acid N-hydroxysuccinimide, and (r)-α-acryloyloxy-β,β-dimethyl-γ-butyrolactone (DBA) were synthesized by RAFT polymerization to develop injectable, resorbable, and thermoresponsive copolymer scaffolds. Upon injection into physiological conditions, these copolymers undergo a temperature induced gelation to form a drug releasing scaffold. Modification of the copolymer's AAm/DBA ratio and molecular weight afforded significant and precise control over the scaffold's physical properties and subsequent drug release profile. Hydrolytic DBA ring-opening enables redissolution of the copolymers for clearance from the body. Precise control over the drug release profile from these copolymer scaffolds by simple alteration of composition and molecular weight provides an efficient method to customize the minimally invasive delivery of therapeutics to the posterior segment of the eye. © 2015 Wiley Periodicals, Inc. J Biomed Mater Res Part B: Appl Biomater, 105B: 53-62, 2017.

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)0.012
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.089
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.286
GPT teacher head0.489
Teacher spread0.203 · 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 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

Citations8
Published2015
Admission routes2
Has abstractyes

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