Investigation of an Electrospun Nanofibrous, Degradable Polar Hydrophobic Ionic Polyurethane Patch for Cardiac Tissue Regeneration
Bibliographic record
Abstract
Cardiac tissue engineering (CTE) can be used to repair and replace the damaged myocardium due to coronary artery disease. An electrospun nanofibrous, degradable polar hydrophobic ionic polyurethane/polycarbonate polyurethane (D-PHI/PCNU) scaffold was generated and characterized for CTE applications. In addition, induced pluripotent stem cell derived cardiomyocytes (iPSC-CMs) were assessed for their compatibility on the D-PHI/PCNU scaffold. D-PHI/PCNU scaffolds had a high cross-linking efficiency, higher surface energy, and lower stiffness relative to PCNU scaffolds. In vivo, the D-PHI/PCNU scaffold degraded relatively slowly, but was well integrated with the surrounding tissue. Furthermore, the aligned D-PHI/PCNU scaffolds were able to support high iPSC-CM viability, adhesion, and expression of functional cardiac markers after a 7-day culture period. The iPSC-CMs had a more elongated and aligned phenotype on aligned D-PHI/PCNU scaffolds as compared to on random D-PHI/PCNU scaffolds and on TCPS. This work demonstrates the potential of using D-PHI/PCNU scaffolds as a platform for CTE.
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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".