Bibliographic record
Abstract
Abstract During embryonic development, cells secrete an extracellular matrix (ECM) around themselves that is turn provides cues to the cells to direct organ development. The same ECM componants would therefore also be likely to direct repair and regeneration of these organs. Our goal, therefore, was to develop biomimetic materials that are ECM analogs, capable of sustaining a native‐like ECM environment and interacting with host tissues and stem cells to effect regeneration. Specifically for the cornea, we have successfully completed a 12 month study on corneal substitutes fabricated from recombinant human collagen that were implanted into mini‐pigs be lamellar keratoplasty. Implants made from type I and type III recombinant collagens were compared. Both collagens could be crosslinked and moulded into the shape and size of human corneas. While we found that type III implants had a tendency to be mechanically stronger, both types of implants gave very similar results. They retained optical clarity by both slit lamp biomicroscopy and fundus imaging. They also retained their thickness indicating graft stability. Regeneration of corneal epithelial and stromal cells were also observed. In addition, corneal nerves and the tear film were regenerated. These results were comparable to those we had previously reported in shorter term studies. These recombinant collagens, as thin sheets, were also found to be suitable as scaffolds for proliferation of human corneal limbal cells. As the collagen source is recombinant, made from yeast, we have therefore shown that completely man‐made corneal substitutes can be produced as substitutes of the corneal matrix. Biomimetic materials, therefore, are likely to be successful for reproducing the natural scaffolding in tissue engineering applications, such as the development of corneal substitutes.
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 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) | 0.000 | 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) | 0.002 | 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".