Photoencapsulated-Mesenchymal Stromal Cells in Biodegradable Thiol-Acrylate Hydrogels Enhance Regeneration of Craniofacial Bone Tissue Defects
Post-publication record
OpenAlex flags this work as retracted, but it carries no matching Retraction Watch record in this frame.
Bibliographic record
Abstract
Aim: This study investigated biodegradable thiol-acrylate hydrogels as stem cell carriers to facilitate cranial bone regeneration. Materials & methods: Two formulations of thiol-acrylate hydrogels (5 and 15 wt% Poly[ethylene glycol]-diacrylate [PEGDA] hydrogels) were used as stem cell carriers. Bone marrow mesenchymal stromal cells and dental pulp mesenchymal stromal cells were photoencapsulated and cultured in basal or osteogenic medium 3 days before the surgery. Using New Zealand White Rabbits, four defects (5 mm diameter and 2 mm thickness) were created and hydrogel scaffolds were implanted in each rabbit cranium for 6 weeks. Results & Conclusion: AlamarBlue assay showed increasing metabolic activity levels in 5 wt% PEGDA hydrogels than 15 wt% PEGDA hydrogels. Photoencapsulated-mesenchymal stromal cells in 15 wt% PEGDA hydrogels demonstrated significantly increasing alkaline phosphatase activity levels on day 7 compared with days 1 and 3. Histological diagnosis showed 5 wt% PEGDA hydrogels resulted in lower averaged residual gel areas than 15 wt% PEGDA hydrogel specimens and control groups 6 weeks postimplantation.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".