Nano-pharmaceutical Formulations for Targeted Drug Delivery against HER2 in Breast Cancer
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.
Bibliographic record
Abstract
Nanotechnology has revolutionized fundamental opportunities for higher specific drug delivery with minimum side effects. Since its inception, the goal of nanotechnology has been to advance effective and reliable systems for precise anti-cancer therapy and diagnosis. To accomplish this goal, bio-conjugation strategies of therapeutic agents loaded nanoparticles with monoclonal antibodies or their analogues have demonstrated a targeted approach both in vitro and in vivo. In this review, we primarily focus on the specific recognition of HER2 receptors of HER2 overexpressed tumor cells, and evaluate anti-HER2 monoclonal antibody as an effective tool for active targeting. Currently, a variety of nanoparticle systems are under both preclinical and clinical trials for targeting to HER2 positive breast cancer. Different nanotechnology scaffolds including liposomes, dendrimers, micelles, polymeric and inorganic nanoparticles that have higher flexibility for macromolecular synthesis and versatile functionalizing properties have been reviewed in this study. Continuing advances in anti-HER2 functionalized nanoparticles have good potential to lead to the development of nano-therapy against HER2 positive breast cancer.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it