MétaCan
Menu
Back to cohort
Record W2897896033 · doi:10.2217/nnm-2018-0008

Selective Drug-Free Cancer Apoptosis by Three-Dimensional Self-Targeting Magnetic Nickel Oxide Nanomatrix

2018· article· en· W2897896033 on OpenAlexaff
Sivaprasad Chinnakkannu Vijayakumar, Krishnan Venkatakrishnan, Bo Tan

Bibliographic record

VenueNanomedicine · 2018
Typearticle
Languageen
FieldEngineering
TopicNanoplatforms for cancer theranostics
Canadian institutionsToronto Metropolitan UniversitySt. Michael's Hospital
Fundersnot available
KeywordsNickelApoptosisDrugOxideNickel oxideMaterials scienceCancer researchPharmacologyChemistryMetallurgyMedicineBiochemistry

Abstract

fetched live from OpenAlex

AIM: To develop a drug-free strategy addressing limitations of current cancer therapy. MATERIALS & METHODS: A 3D self-assembled magnetic nickel oxide (NiO) nanomatrix is synthesized using femtosecond pulsed laser to mimic extracellular matrix. RESULTS: The tunable laser pulse-interaction time and repetition rate aided in generating programmable NiO nanomatrix chemistry. The nanomatrix mimicked extracellular matrix in physical configuration and properties presenting favorable cues to cancerous HeLa cell and fibroblast cell adhesion and proliferation without cytotoxicity. The 3D nanomatrix structure altered HeLa cell behavior and induced apoptosis cancer apoptosis with an evidence of increased endocytosis when compared with fibroblast cells. CONCLUSION: The results demonstrate the availability of new potential avenues for magnetic drug-free cancer therapeutics.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.221
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.004
GPT teacher head0.206
Teacher spread0.202 · 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; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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

Citations0
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueNanomedicineSame topicNanoplatforms for cancer theranosticsFrench-language works237,207