Regeneration of Skin and Cornea by Tissue Engineering
Bibliographic record
Abstract
Progress in tissue engineering has led to the development of technologies allowing the reconstruction of autologous tissues from the patient's own cells. Thus, tissue-engineered epithelial substitutes produced from cultured skin epithelial cells undergo long-term regeneration after grafting, indicating that functional stem cells were preserved during culture and following grafting. However, these cultured epithelial sheets reconstruct only the upper layer of the skin and lack the mechanical properties associated to the connective tissue of the dermis. We have designed a reconstructed skin entirely made from human cutaneous cells comprising both the dermis and the epidermis, as well as a well-organized basement membrane by a method named the self-assembly approach. In this chapter, protocols to generate reconstructed skin and corneal epithelium suitable for grafting are described in details. The methods include extraction and culture of human skin keratinocytes, human skin fibroblasts as well as rabbit and human corneal epithelial cells, and a complete description of the skin reconstructed by the self-assembly approach and of corneal epithelium reconstructed over a fibrin gel.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".