Modèles cellulaires des maladies inflammatoires du segment antérieur de l’œil
Bibliographic record
Abstract
Several multifactorial pathologies in ophthalmology that affect the anterior segment of the eye are partly inflammatory. To better understand the role and impact of inflammation in dry eye and corneal healing, many research teams have used in vitro models to mimic different aspects of these diseases. Several in vitro models have been developed to elucidate the signaling cascades involved in pathogenesis. They also offer the experimental flexibility to adjust environmental parameters, facilitating the validation of innovative therapies and the identification of new pharmacological targets. This review focuses on two-dimensional in vitro models, but also highlights the progress made in 3D models obtained by tissue engineering, which mimic inflammation in these ocular pathologies. The origin of the cells (human or animal), their tissue source, the type of cells (epithelial, endothelial, vascular, conjunctival), as well as the various experimental conditions used to mimic an inflammatory aspect according to the stages of progression of these pathologies, are thoroughly reported in this review of the literature.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".