The evolution of transdermal drug delivery: from patches to smart microneedle-biosensor systems
Bibliographic record
Abstract
Transdermal drug delivery systems offer a novel approach to administering medications through the skin, ensuring controlled and sustainable drug release. This is an important tool because it allows the drugs to bypass the gastrointestinal tract, avoiding any reduced effectiveness due to digestive enzymes. Such systems are widely used to administer painkillers and hormone replacement therapy via patches. Cardiovascular diseases like angina and hypertension can also be treated. One of the most promising advancements in drug delivery systems has been that of microneedles which provides a pain-free method to administer drugs with the same efficacy of injections. This makes them a versatile tool in the medical field. The integration of biosensors adds on to their advantages. Biosensors can monitor various physiological factors and patient responses, allowing continuous observations. Consequently, a lot of valuable data will be collected. Biosensors can also improve safety by ensuring appropriate dosage and detecting any anomalous behaviors. This review looks into these factors and some others in detail.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".