Scaffolds for epithelial tissue engineering customized in elastomeric molds
Bibliographic record
Abstract
Restoration of soft tissue defects remains a challenge for surgical reconstruction. In this study, we introduce a new approach to fabricate poly(d,l-lactic acid) (PDLLA) scaffolds with anatomical shapes customized to regenerate three-dimensional soft tissue defects. Highly concentrated polymer/salt mixtures were molded in flexible polyether molds. Microcomputed tomography showed that with this approach it was possible to produce scaffolds with clinically acceptable volume ratio maintenance (>90%). Moreover, this technique allowed us to customize the average pore size and pore interconnectivity of the scaffolds by using variations of salt particle size. In addition, this study demonstrated that with the increasing porosity and/or the decreasing of the average pore size of the PDLLA scaffolds, their mechanical properties decrease and they degrade more slowly. Cell culture results showed that PDLLA scaffolds with an average pore size of 100 µm enhance the viability and proliferation rates of human gingival epithelial cells up to 21 days. The simple method proposed in this article can be extended to fabricate porous scaffolds with customizable anatomical shapes and optimal pore structure for epithelial tissue engineering. © 2017 Wiley Periodicals, Inc. J Biomed Mater Res Part B: Appl Biomater, 106B: 880-890, 2018.
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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 | 0.008 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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 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".