Stem cell-based therapies for treatment of abdominal aortic aneurysm: development, application, and future potential
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Abdominal aortic aneurysms (AAA), with approximately 200,000 new diagnoses each year, represent a prevalent clinical concern. Current treatment includes monitoring and surgical procedures once the aneurysm reaches a certain size. However, the lack of effective, timely therapies leads to a high mortality rate due to rupture. With recent advancements and innovations in biomedical science, stem cell therapy has moved closer to widespread clinical use, with the field experiencing rapid growth since its inception in the late 20 th century. Given the pathophysiology of AAA, stem cell therapies have high potential impact in the treatment for both early and late-stage disease, targeting underlying mechanisms such as inflammation, vascular degeneration, and extracellular matrix degradation. There are many considerations and innovative potential approaches being explored in this type of treatment, such as strategically leveraging cell properties and their associated secretome and incorporating biomaterials-based strategies. This review article summarizes and critically assesses the efficacy of cell-based therapies in AAA preclinical models, current clinical trials in this area, and other emerging bioengineering approaches for the treatment of AAA.
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.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it