New opportunities for bioscaffold‐enabled spinal cord injury repair
Bibliographic record
Abstract
Abstract Spinal cord injury (SCI) leads to high rates of central nervous system impairment and imposes a significant treatment burden, highlighting the need for effective repair strategies. Bioscaffolds are considered to be multifunctional materials composed of bioactive polymers and signaling molecules, showing potential comparable to tissue engineering approaches utilizing exogenous stem cells. These bioscaffolds, which act as biological frameworks, can modulate intrinsic neuronal regeneration and the external microenvironment to facilitate SCI repair. This review explores the current status and future prospects of three‐dimensional bioscaffolds for SCI repair, covering the pathophysiology of spinal cord injury, associated repair mechanisms, and key bioscaffold properties influencing repair efficiency. Notably, the review highlights new insights into the use of therapeutic bioscaffolds to promote endogenous stem cell differentiation, enhance axon growth, regulate the injury microenvironment, and support SCI repair. Finally, expert opinions are discussed, summarizing design principles for effective SCI‐repair bioscaffolds and underscoring their significant potential for clinical applications.
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.
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 | 0.000 |
| 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 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".