Adipose Derived Stem Cells for treatment of Lower Genitourinary Dysfunction
Bibliographic record
Abstract
Tissue regeneration is the focal point of intensive research efforts that are supported by the increasing number of stem cell sources available.In particular, multipotent mesenchymal stem cells feature many functional properties attractive for regenerative medicine strategies, including their paracrine activity.Adipose-Derived Stromal/Stem Cells (ASCs) have been the focus of extensive work recently, in order to evaluate their efficacy both as cellular therapies and for tissue engineering-oriented applications.The lower genitourinary tract is subjected to many pathologic conditions necessitating repair and treatment.Stem cells freshly extracted from adipose tissue (SVF) or their expanded ASCs counterparts are quite widely studied because they are easily harvested in abundant amounts, making them an excellent source for functional restoration.The therapeutic value of these cells has been evaluated using specific in vivo animal models recapitulating various dysfunctions of the genitourinary system.The aim of this review is to discuss the current status and potential of ASCs for repair and treatment of lower genitourinary tract conditions.Work pertaining to bladder replacement and voiding dysfunction, urinary incontinence, erectile dysfunction and tunica albuginea reconstruction will be discussed.In addition, recent studies concerning urethral tissue engineering and regeneration will be described.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".