Therapeutic Use of Bioengineered Materials for Myocardial Infarction
Bibliographic record
Abstract
Cardiovascular disease is a leading cause of worldwide mortality. Despite the success of current therapies for acute myocardial infarction (MI), many patients still suffer irreversible damage, and the prevalence of heart failure is growing. After MI, the extracellular matrix (ECM) of the damaged myocardium is modified to produce scar tissue. This remodeling reduces the efficacy of therapies and also hinders endogenous repair mechanisms. Therefore, a strategy to prevent adverse remodeling and provide a suitable ECM environment that supports cells, tissue repair and functional restoration may lead to a superior therapeutic outcome in MI patients. Bioengineered materials are an attractive approach for achieving this. Herein, we review current research on materials that can act as a biomimetic matrix for supporting cellular repair in the post-MI heart. We also examine how nanomaterials are being used to treat the damaged heart. Finally, we provide an overview of the breakthroughs and limitations of biomaterial therapies for cardiac repair.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.004 |
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".