<i>In Vivo</i> Ultrasound-Assisted Tissue-Engineered Mandibular Condyle: A Pilot Study in Rabbits
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
CONTEXT: Tissue engineering of mandibular articular condyles encounters many challenges, especially restoring adequate mechanical strength that is correlated to matrix production by the tissue-engineered mandibular condyles (TEMCs). Low-intensity pulsed ultrasound (LIPUS) has been shown to enhance cell expansion, differentiation, and matrix production by different cells. OBJECTIVE: This study evaluated effect of daily LIPUS treatment (in vitro and in a pilot in vivo study) for 4 weeks on matrix production and functional integration of the TEMCs in rabbits. METHODS: Bone marrow stromal cells were isolated from the femoral bones of skeletally mature New Zealand rabbits, expanded, and differentiated into chondrogenic and osteogenic lineages. Animals employed in the in vivo study were divided into four groups: (1) TEMCs and LIPUS treatment; (2) TEMCs without LIPUS treatment; (3) empty scaffold and LIPUS treatment, and (4) empty scaffolds without LIPUS treatment. RESULTS: In vitro results showed that LIPUS enhanced chondrogenic and osteogenic differentiation of bone marrow stromal cells. The in vivo study showed that LIPUS led to better structural formation (namely, new osteogenic and chondrogenic tissue formation) and integration of the newly formed tissues and original condylar bone than those without LIPUS treatment. LIPUS resulted in a small amount of tissue regeneration in the empty scaffolds, whereas empty scaffolds without LIPUS treatment showed no signs of repair. CONCLUSIONS: The preliminary results of this pilot study suggest that LIPUS can enhance TEMCs both in vitro and in vivo.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it