Bibliographic record
Abstract
Evidence indicates that bone marrow and many other somatic tissues contain pluripotent or multipotent adult stem cells as well as progenitor cells which can differentiate into cells of various phenotypes. Experimental studies strongly suggest that the normal function of the marrow derived adult stem cells is for tissue repair, and that they can be recruited by signals originating from injured tissue, traffic through the circulation and home into the injured site to undergo milieu dependent differentiation in situ. In the heart, these cells may differentiate into cardiomyocytes, vascular cells and scar tissue, thus participating in vasculogenesis, scar maturation and modulation of the remodelling process of the myocardium. To augment such a healing process, cell therapy using such cells, which may be preprogrammed if desired, may have donor cells implanted by direct injection, coronary infusion and, in some cases, by systemic intravenous administration. Improved ventricular function has been reported in myocardial infarct animal models. Although early Phase I clinical trials have been initiated for both autologous myoblast and autologous marrow cell transplants with favourable reported outcomes, the data are still too preliminary to draw definitive conclusions regarding their safety and efficacy. Additional mechanistic and translational preclinical investigations are essential, and well designed clinical studies are required before the great potential of adult stem cell therapy can be fully realised and benefit the vast number of heart failure patients.
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 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 | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.005 |
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".