Bibliographic record
Abstract
Atherosclerosis is an inflammatory condition characterized by severe arterial obstruction by the deposits of fatty plaques along the arterial walls. Pro-inflammatory macrophages contribute to the development of atherosclerotic plaques that underlie severe cardiovascular complications like myocardial infarction, making them an attractive diagnostic target. Given their high degree of selectivity, non-invasivity, and bioavailability, nanoparticles like N1177 and AuNP have recently entered the diagnostic landscape of atherosclerosis to improve tissue resolution in conventional imaging modalities like CT scans. Nevertheless, this approach has potential limitations of cytotoxicity and carcinogenic risks. Atherosclerosis accounts for one of the leading causes for morbidities worldwide which indicates an inherent need for equitable, accessible, and proactive diagnostic procedures. The purpose of this literature review is to evaluate macrophage-targeted nanotechnologies for in vivo diagnosis of atherosclerosis and their clinical potential. This literature review was conducted according to the PRISMA-S checklist through Ovid MEDLINE and Google Scholar
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 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 | 0.000 |
| 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) | 0.001 | 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".