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Record W2060984226 · doi:10.4155/tde.13.149

Nanoscale Particulate Systems for Multidrug Delivery: Towards Improved Combination Chemotherapy

2014· review· en· W2060984226 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

VenueTherapeutic Delivery · 2014
Typereview
Languageen
FieldMaterials Science
TopicNanoparticle-Based Drug Delivery
Canadian institutionsCelator Pharmaceuticals (Canada)
Fundersnot available
KeywordsDrug deliveryNanotechnologyLiposomeMultiple drug resistanceDrugMaterials scienceMedicinePharmacologyDrug resistance

Abstract

fetched live from OpenAlex

While combination chemotherapy has led to measurable improvements in cancer treatment outcomes, its full potential remains to be realized. Nanoscale particles such as liposomes, nanoparticles and polymer micelles have been shown to increase delivery to the tumor site while bypassing many drug resistance mechanisms that limit the effectiveness of conventional therapies. Recent efforts in drug delivery have focused on coordinated, controlled delivery of multiple anticancer agents encapsulated within a single particle system. In this review, we analyze recent progress made in multidrug delivery in three main areas of interest: co-delivery of antineoplastic agents with drug sensitizers, sequential delivery via temporal release particles and simultaneous delivery of multiple agents. Future directions of the field, in light of recent advances with molecularly targeted agents, are suggested and discussed.

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)0.002
metaresearch head score (Gemma)0.000
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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.967
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.036
GPT teacher head0.299
Teacher spread0.262 · 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