Scalable microfabrication of drug-loaded core–shell tablets from a single erodible polymer with adjustable release profiles
Bibliographic record
Abstract
Oral tablets with tunable release profiles have emerged to enhance the effectiveness of therapies in different clinical conditions. Although the concept of tablets with adjustable release profiles has been studied before, the lack of a fast and scalable production technique has limited their widespread application. In this study, a scalable fabrication method was developed to manufacture controlled-release polyanhydride tablets. A new polymeric core-shell tablet design is also proposed, that in conjunction with a micro-fabrication procedure, allows for achieving tunable release profiles required in personalized medicine in small-size tablets. Utilizing a surface-erodible polymeric carrier in the fabrication of the new tablet design resulted in achieving adjustable release profiles and improvements in the drug-loading capacity of the delivery system which allows for delivering a flexible amount of therapeutics with desirable patterns to patients. The proposed fabrication techniques allow for scalable production of personalized tablets with the high resolution required in precision medicine and hence have a high potential for clinical translation.
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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 | 0.001 |
| 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 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".