Grafting of an autologous tissue-engineered human corneal epithelium to a patient with limbal stem cell deficiency (LSCD)
Bibliographic record
Abstract
Purpose In this study, we evaluated the feasibility of recovering the corneal surface integrity in a patient suffering from unilateral LSCD through the transplantation of cultured autologous corneal epithelial cells. Methods Human corneal epithelial cells (HCECs) were isolated from a limbal biopsy of the contralateral eye of a patient with unilateral LSCD and cultured in monolayer in the presence of an irradiated human fibroblasts feeder layer (iHFL). To produce a cultured autologous corneal epithelium (CACE), HCECs were seeded on a fibrin substrate and maintained in culture until confluence. The in vitro obtained CACE was then used to treat the affected eye of the patient. Two years later, a successful penetrating keratoplasty was performed. Results Efficient restoration of the corneal epithelium was achieved following transplantation of CACE indicating probable re-colonization of the cornea by stem cells. Corneal transparency was restored after removing the scarred stroma by performing a penetrating keratoplasty. Conclusion CACE produced in vitro was shown to restore a normal corneal surface capable of sustaining a viable and clear penetrating keratoplasty and reestablished a near normal vision in a unilateral LSCD patient.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 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".