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Record W2152854631 · doi:10.2174/156720105774370159

Ligand-Targeted Liposomes for Cancer Treatment

2005· review· en· W2152854631 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

VenueCurrent Drug Delivery · 2005
Typereview
Languageen
FieldMaterials Science
TopicNanoparticle-Based Drug Delivery
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsLiposomeTargeted therapyCancerCancer researchLigand (biochemistry)ReceptorCancer cellTargeted drug deliveryMedicinePharmacologyBiologyDrugInternal medicineBiochemistry

Abstract

fetched live from OpenAlex

Selective targeting of ligand-targeted liposomes containing anticancer drugs or therapeutic genes to cell surface receptors expressed on cancer cells is a recognized strategy for improving the therapeutic effectiveness of conventional chemotherapeutics or gene therapeutics. Some recent advances in the field of ligand-targeted liposomes for the treatment of cancer are summarized including: selection criteria for the receptors to be targeted, choice of targeting ligands and choice of encapsulated therapeutics. Targeting of liposomes to solid tumors, versus angiogenic endothelial cells versus vascular targets is discussed. Ligand-targeted liposomes have shown considerable promise in preclinical xenograft models and are poised for clinical development.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.979
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.002

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 head0.064
GPT teacher head0.349
Teacher spread0.285 · 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