Numerical Simulation by CFD of the Growth of Osteocytes within a Bioreactor
Bibliographic record
Abstract
For years bone grafts have been used to regenerate or replace damaged bones, treat fractures or bone diseases, which requires surgical intervention and all the risks and problems that this entails, such as: immune response, transmission of diseases etc. As a consequence of the limitations of this technique was born the engineering of bone tissues. The objective of this new type of tissue engineering is to carry out the cellular regeneration of the damaged bone tissue until completely re-establishing its functionality. This requires the creation of artificial porous structures (scaffolding or three-dimensional matrices) biocompatible in which bone cells (osteocytes) extracted from the patient's own tissue are cultured. Achieving adequate oxygen supply, a high cell density and a uniform distribution of cells over three-dimensional scaffolds has become a challenge in recent years. For this reason, a numerical model of osteocyte growth has been implemented in ANSYS Fluent. The model includes the oxygen and nutrient consumption of biomass, the effect of shear stress on cell proliferation and the specific growth rate of osteocytes. This model was evaluated in realistic threedimensional scaffolds inside a perfusion bioreactor and it has been proved that the cell proliferation is conditioned by the wall shear stress.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".