Osteoblast-like cells response to layer by layer self assembled biomimetic coatings
Bibliographic record
Abstract
Nanometer-sized structures have been found to interact with cell function and development. In tissue engineering, the fabrication of bioactive devices which mimic physiologic conditions has a key role in eliciting specific cellular responses and in guaranteeing long term success of implants. To this regard the layer by layer (LBL) self assembly technique is an efficient method to develop nanostructured thin films. This technique was used to assemble biomimetic coatings containing fibronectin, an adhesive glycoprotein of the extracellular matrix (ECM). The deposited films were then tested for the response of a line of human osteoblast-like cells in order to evaluate their potential for bone tissue repair purposes. The assembled films resulted to be effective in improving cell adhesion and proliferation. Therefore, this technique shows a high potential for the optimization of the surface properties of biomaterials.
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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 | 0.002 | 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) | 0.002 | 0.009 |
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; both teacher heads agree on what is shown here.
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".