The Novelty of miRNAs as a Clinical Biomarker for the Management of PCOS
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.
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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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.004 |
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".