Herbal therapeutic strategies for diabetic retinopathy using nobiletin
Bibliographic record
Abstract
Diabetes mellitus is one of the most challenging and prevalent metabolic diseases results in microvascular complications such as retinopathy, neuropathy and macrovascular complications such as heart attack, stroke and peripheral vascular diseases. Diabetic retinopathy (DR) is a major cause of blindness in diabetes which can be avoidable with good glycemic control. There are number of factors that contribute to vascular permeability and angiogenesis in DR including the oxidative damage of the retinal neuronal cells, vascular endothelial growth factor (VEGF), prostaglandins, cyclooxygenase-2 (COX-2) and nitric oxide (NO) synthase. Despite the standards of care, laser photocoagulation and pars plana vitreous surgery for DR, recent successful use of several molecules is bringing a paradigm shift in favor of pharmacotherapy. There is an increasing interest in natural products in pharmacotherapy as the chemical diversity of natural products has better matches than the diversity of synthetic compounds. Flavonoids a common group of plant polyphenols are known for their antioxidant, anti-inflammatory, anti-angiogenic activities also shown their potential in the prevention and treatment of various ocular diseases
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".