Cardiac tissue engineering: current state and perspectives
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
The goal of cardiac tissue engineering is to treat cardiovascular diseases through the implantation of engineered functional tissue replacements or the injection of cells and biomaterials, as well as to provide engineered cardiac constructs that can be used as an in vitro model of healthy or diseased heart tissues. This field is rapidly advancing with the new discoveries and improvements in stem cell technologies, materials science, and bioreactor design. In this review, some of the progress made in cardiac tissue engineering in the recent years, as well as the challenges that need to be overcome in future studies, will be discussed. The topics include the advances in engineering stem cell-derived cardiac tissues, the use of natural or synthetic polymers and decellularized organs as engineering scaffolds, the scaffold-free cell sheet engineering approach, the application of perfusion and mechanical or electrical stimulation in bioreactors, the organization of cardiac cells through microfabrication techniques, and the vascularization of engineered cardiac tissues in vitro and in vivo.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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) | 0.000 | 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 it