Adult Stem Cells and Bioengineering Strategies for the Treatment of Cerebral Ischemic Stroke
Bibliographic record
Abstract
The adult central nervous system (CNS) contains a population of neural stem cells, yet unlike many other tissues, has a very limited capacity for self-repair. Promoting tissue repair and functional recovery following CNS injury or disease is a high priority as there are currently no effective treatments towards this end for the treatment of disorders such as stroke, traumatic brain injury and spinal cord injury. Recent advances in stem cell biology have offered a number of enticing potential avenues and we will discuss these possibilities along with the associated challenges as they pertain to stroke. We will consider exogenous therapies involving the transplantation of adult stem cells, and the mobilization of endogenous stem cells, as well as drug delivery and tissue engineering strategies that enhance and complement the cell based strategies. Keywords: Adult stem cells, neural regeneration, biomaterials, tissue engineering, drug delivery systems, stroke, central nervous system, traumatic brain injury, spinal cord injury, Surgery
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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".