Docetaxel Loaded Nanobubbles for Ultrasound Triggered Antivascular Therapy and Localized Drug Delivery
Bibliographic record
Abstract
Docetaxel is a chemotherapeutic drug that plays an essential role in breast cancer therapy but exhibits suboptimal pharmacokinetic profiles with limited accumulation in tumours. In this thesis, ultrasound-stimulated, docetaxel-loaded nanobubbles are proposed to achieve localized drug delivery and induce antivascular therapy towards synergistic anti-tumour efficacy. Drug-loaded nanobubbles were synthesized via a precursor-lyophilization method. The drug loading capacity was found to increase with lipid concentration. DTX-NBs were formed with a mode diameter at ~230 nm, loaded with ~104 μg of docetaxel on ~1010 bubbles per ~0.4 μL of gas. Ultrasound cavitation facilitated the release of docetaxel and demonstrated comparable cytotoxicity to the commercial docetaxel formulation (i.e. Taxotere®) on mouse breast cancer cells. Ultrasound-stimulated nanobubbles were shown to induce acute blood flow reduction in the tumour center on Balb/c mice, indicating successful in vivo vascular shutdown due to nanobubble cavitation. These drug-loaded, ultrasound-responsive nanobubbles show high potential for increased anti-cancer efficacy.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".