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Record W2803173642 · doi:10.1002/med.21509

Gold nanoparticles in ophthalmology

2018· review· en· W2803173642 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueMedicinal Research Reviews · 2018
Typereview
Languageen
FieldMaterials Science
TopicGold and Silver Nanoparticles Synthesis and Applications
Canadian institutionsUniversité LavalHôpital du Saint-Sacrement
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchGruppo Nazionale per il Calcolo ScientificoFondation CHU de QuébecFondation des Maladies de l'Oeil
KeywordsPhotothermal therapyColloidal goldMedicineBrachytherapyRadiosurgeryOptical coherence tomographyMedical physicsRadiation therapyOphthalmologyNanotechnologyOptometryNanoparticleSurgeryMaterials science

Abstract

fetched live from OpenAlex

Many research projects are underway to improve the diagnosis and therapy in ophthalmology. Indeed, visual acuity deficits affect 285 million people worldwide and different strategies are being developed to strengthen patient care. One of these strategies is the use of gold nanoparticles (GNP) for their multiple properties and their ability to be used as both diagnosis and therapy tools. This review exhaustively details research developing GNPs for use in ophthalmology. The toxicity of GNPs and their distribution in the eye are described through in vitro and in vivo studies. All publications addressing the pharmacokinetics of GNPs administered in the eye are extensively reviewed. In addition, their use as biosensors or for imaging with optical coherence tomography is illustrated. The future of GNPs for ophthalmic therapy is also discussed. GNPs can be used to deliver genes or drugs through different administration routes. Their antiangiogenic and anti-inflammatory properties are of great interest for different ocular pathologies. Finally, GNPs can be used to improve stereotactic radiosurgery, brachytherapy, and photothermal therapy because of their many properties.

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.

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)0.011
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.969
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.011

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 head0.438
GPT teacher head0.516
Teacher spread0.077 · 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