Current Status and Perspectives of Human Mesenchymal Stem Cell Therapy 2020
Bibliographic record
Abstract
Mesenchymal stem cell (MSC) therapy shows a great promise for the treatment of injuries and diseases in regenerative medicine MSCs have the ability to self-renew and differentiate into multiple lineages, making them an ideal candidate for cell therapy They exist in adult tissues of different sources such as fat, bone marrow, umbilical cord and menstrual blood In addition to multilineage potential, these cells have the capability of secreting antiinflammatory molecules and bioactive factors Therefore, they are commonly used in clinical settings to treat illnesses including autoimmune, inflammatory, degenerative, musculoskeletal and respiratory diseases While numerous studies reported the clinical applications of MSCs, multiple challenges are yet to be addressed to achieve successful clinical translations. This special issue underlines the most recent advances in therapeutic applications of MSCs. It also discusses many emerging approaches in enhancing the therapeutic effects of MSCs especially in bioprocessing, assessment of efficacy and safety, and clinical delivery strategies.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".