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New biomaterials and ocular drug delivery

2017· article· en· W2751811469 on OpenAlexaff
Heather Sheardown, Ben B Muirhead, Jian‐Kang Zhang

Bibliographic record

VenueActa Ophthalmologica · 2017
Typearticle
Languageen
FieldMedicine
TopicCorneal Surgery and Treatments
Canadian institutionsMcMaster University
Fundersnot available
KeywordsDrug deliveryDrugMedicineOptometryOphthalmologyNanotechnologyPharmacologyMaterials science

Abstract

fetched live from OpenAlex

Summary The need for new methods of delivering pharmacologically active agents to the eye has never been greater with the growing incidence of ocular disorders. Polymeric drug delivery methods show great promise for enhancing drug residence time as well as convenience for the patient. This talk will focus on three novel polymer based drug delivery systems developed in our labs. A mucoadhesive micelle system has been developed using acceptable polymers and has been shown to enhance the on eye residence time and the delivery of cyclosporine A in the treatment of dry eye disease. A transparent, in situ gelling injectable system has been examined to enhance the delivery of various drugs for treating diseases of the back of the eye. Finally, a Vitamin E based system is injectable, gelling upon exposure to aqueous conditions will be described. The potential of these systems as well as their limitations will be discussed and next steps in their development with a goal of creating a clinically viable drug delivery system will be described.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.045
GPT teacher head0.305
Teacher spread0.260 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations0
Published2017
Admission routes1
Has abstractyes

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