Lidocaine-loaded dissolving microneedle for safe local anesthesia on oral mucosa for dental procedure
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
BACKGROUND: Lidocaine has been widely used as a short-acting local anesthetic agent to reduce the pain caused by needle insertion. Dissolving microneedles (DMNs), which are minimally invasive, can effectively deliver drugs by overcoming the oral mucosal barrier and relieving patient discomfort. METHODS: Lidocaine solution prepared by mixing lidocaine-HCl and hyaluronic acid was used to fabricate oral lidocaine HCl-encapsulated DMNs (oral Li-DMNs) via centrifugal lithography. The dissolution, penetration ability, and local transmucosal drug delivery of oral Li-DMNs into the oral mucosa were evaluated in porcine jaws. Pharmacokinetic analysis and safety assessment were performed using rabbits. RESULTS: The insertion depth of the oral Li-DMNs satisfies the safety standard. The oral Li-DMNs were completely dissolved after 3 min of application. The local transmucosal drug delivery, pharmacokinetic, and safety evaluations showed that the oral Li-DMNs can obtain a local anesthesia effect at a relatively lower dose, and there was no oral mucosal irritation in rabbits. CONCLUSIONS: A novel and safe oral Li-DMNs have potential applications in large animals and clinical trials and would possibly enter the anesthesia market.
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.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it