The Novelty of miRNAs as a Clinical Biomarker for the Management of PCOS
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
Polycystic ovary syndrome (PCOS) is a common endocrine disorder that affects around 5–10% of women of reproductive age. The aetiology of PCOS is not fully understood with various genetics, iatrogenic (e.g. chemotherapy) and environmental factors have been proposed. microRNAs (miRNAs) are small non-coding single-stranded RNAs which are known to act as a regulator to gene expression at the post-transcriptional levels. Altered expression of miRNAs has been linked to several disorders including infertility. Recent reports demonstrated the expression of differential levels of miRNAs in the serum, ovarian follicular cells and follicular fluid of PCOS patients when compared with healthy women. Therefore, miRNAs may play important role in the pathogenesis of PCOS. The aim of this chapter is to summarise the current understanding pertaining to miRNAs and PCOS and to expedite its possible role in the diagnosis and management of this disorder.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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) | 0.002 | 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