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Record W4410174955 · doi:10.1080/17435889.2025.2501513

From conventional therapy to novel nano-based approaches. A focus on prostate cancer

2025· review· en· W4410174955 on OpenAlexafffund
Lorenzo Chiaverini, Giarita Ferraro, Riccardo Di Leo, Elisabetta Barresi, Diego La Mendola, Francesco Bartoli, Luca Famlonga, Cristina Satriano, Pinuccia Faviana, Alessandro Zucchi, Matteo Pacini, Jürgen Gailer, Chiara Giacomelli, Tiziano Marzo

Bibliographic record

VenueNanomedicine · 2025
Typereview
Languageen
FieldMaterials Science
TopicNanoparticle-Based Drug Delivery
Canadian institutionsUniversity of Calgary
FundersUniversity of Calgary
KeywordsProstate cancerCancerFocus (optics)Nano-ProstateMedicineOncologyInternal medicineEngineeringPhysics

Abstract

fetched live from OpenAlex

The currently available clinical anticancer approaches pertaining to the treatment of prostate cancer are summarized here. After providing an overview of the main features of this highly impactful global disease, the currently available clinical treatments are briefly reviewed. Then, alternative and innovative nano-based therapeutic options that have been proposed or are currently being explored to significantly improve prostate cancer management (i.e. anti-prostate cancer polymeric nanoparticles loaded with drugs to promote their release and biological activity, including non-targeted and functionalized PLGA-PEG NPs and AuNPs), are introduced. Furthermore, the problem of gathering insights into the mechanistic aspects related to the fate of the nanoformulation in complex matrices, such as blood plasma, is addressed.

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 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), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.975
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.070
GPT teacher head0.323
Teacher spread0.254 · 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; both teacher heads agree on what is shown here.

Study designOther design
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

Citations1
Published2025
Admission routes2
Has abstractyes

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