Recent Advances in Drug Delivery: Potential and Limitations of Carbon Nanotubes
Bibliographic record
Abstract
Outstanding progress has been made in drug delivery approaches. However, challenges still exist in delivering clinically optimal levels of therapeutic molecules. Advances in nanotechnology and nanomedicine have heralded the advent of several innovative nanomaterials which are set to revolutionize the field of drug delivery. Carbon nanotubes are one such novel class of nanomaterials that are gaining increasing attention. They have been modified with several molecules of therapeutic interest. Excellent progress has been made in harnessing the potential of carbon nanotubes for several drug delivery and other applications. Functionalized carbon nanotubes have been demonstrated to deliver proteins, nucleic acids, drugs, antibodies and other therapeutics. Emerging developments in this area are pointing towards the successful utilization of carbon nanotubes for drug delivery. This review presents a comprehensive summary of the recent patents in carbon nanotube mediated drug delivery systems, their clinical significance, limitations and future prospects.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".