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Record W4409219729 · doi:10.1080/10717544.2025.2489491

Harnessing nanofibers for targeted delivery of phytoconstituents in age-related macular degeneration

2025· review· en· W4409219729 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.

Bibliographic record

VenueDrug Delivery · 2025
Typereview
Languageen
FieldMedicine
TopicSirtuins and Resveratrol in Medicine
Canadian institutionsLaurentian University
Fundersnot available
KeywordsMacular degenerationNanofiberMaterials scienceNanotechnologyDegeneration (medical)MedicineOphthalmology

Abstract

fetched live from OpenAlex

Age-related macular degeneration is a degenerative eye condition that affects the macula and results in central vision loss. Phytoconstituents show great promise in the treatment of AMD. AMD therapy can benefit from the advantages of phytoconstituents loaded nanofibers. There are opportunities to improve the effectiveness of phytoconstituents in the treatment of age-related macular degeneration (AMD) through the use of nanofiber-based delivery methods. These novel platforms encapsulate and distribute plant-derived bioactives by making use of the special qualities of nanofibers. These qualities include their high surface area-to-volume ratio, variable porosity, and biocompatibility. Exploring the use of nanofiber-based delivery methods to provide phytoconstituents in AMD treatment is a great choice for enhancing patient adherence, safety, and efficacy in managing this condition. This article explores the potential of nanofiber-based delivery methods to revolutionize AMD treatment, providing an innovative and effective approach to treat this condition.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.939
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.316
Teacher spread0.292 · 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