High-throughput Modular Tissue Engineering and Applications to Scale-up Tissue Constructs
Bibliographic record
Abstract
A new air-shearing technique was designed for the high-throughput production of collagen modules and the assembly of large tissue constructs. >95% of cells embedded in air-sheared modules remained viable after production. Additionally, the module surface could be coated with a confluent monolayer of endothelial cells (ECs). Custom-designed bioreactors (volume > 1 cm3) were built to culture large volumes of modules and enable medium perfusion to the core of packed modular beds. In two separate experiments, this platform was applied to modules containing human adipose-derived mesenchymal stem cells and rat neonatal cardiomyocyte-enriched cells. In both cases, modules fused to form single porous viable tissues. The cardiac tissues were contractile, with a maximum capture rate and excitation threshold of 2.3 + 0.58 Hz and 5.9 + 2.10 V/cm respectively. Efforts were made, with varying success, to create EC-lined pores in tissues by surface seeding modules with ECs prior to loading in bioreactors.
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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) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".