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Record W1994552291 · doi:10.4155/tde.12.15

Intracellular Nucleic Acid Interactions Facilitated By Quantum Dots: Conceptualizing Theranostics

2012· review· en· W1994552291 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 · 2012
Typereview
Languageen
FieldMaterials Science
TopicQuantum Dots Synthesis And Properties
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsBioconjugationNanotechnologyNucleic acidQuantum dotPersonalized medicineComputer scienceComputational biologyChemistryMaterials scienceBiologyBioinformaticsBiochemistry

Abstract

fetched live from OpenAlex

The concept of theranostics arises from the unification of both diagnostic and therapeutic applications into a single package. The implementation of nanoparticles, such as semiconductor quantum dots (QDs), to achieve theranostic applications, offers great potential for development of methods that are suitable for personalized medicine. Researchers have taken advantage of the physiochemical properties of QDs to elicit novel bioconjugation techniques that enable the attachment of multifunctional moieties on the surface of QDs. In this review, the diagnostic and therapeutic applications of QDs that feature the use of nucleic acids are highlighted with a particular emphasis on the possibility of combinatorial applications. Nucleic acid research is of particular interest for gene therapy, and is relevant to the understanding of gene regulation pathways and gene expression dynamics. Recent toxicity studies featuring multifunctional QDs are also examined. Future perspectives discussing the expected development of this field conclude the article.

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), Insufficient 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 score0.989
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.006

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 head0.110
GPT teacher head0.310
Teacher spread0.201 · 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