Artificial cell microcapsule for oral delivery of thalidomide: design, preparation, and in-vitro characterization for Crohnâs disease application
Bibliographic record
Abstract
Crohn's disease is a chronic inflammatory disorder of the gut and is classified as a type of inflammatory bowel disease. The anti-inflammatory drug thalidomide has shown to be very effective against Crohn’s disease, but presents several limitations such as drowsiness, skin rash and hypertension. Therefore, development of novel delivery system is urgent and necessary. The aim of this paper is to present the formulation of Alginate- Poly-L-Lysine-Alginate (APA) microcapsules for the delivery of thalidomide to desired locations of the gastrointestinal tract. APA microcapsules were designed, prepared and characterized in-vitro for thalidomide release. Mechanical stability of capsules and the drug release profile were monitored in a simulated gastrointestinal model. Data suggest that APA microcapsules enable a slow release of thalidomide in a pH and time-dependent manner. Indeed, the characteristics of APA microcapsules make it a suitable carrier for the targeted delivery of thalidomide to specific areas of the gastrointestinal tract.
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.
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 | 0.000 |
| 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 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".