Unlocking Novel Therapeutic Potential of Angiotensin II Receptor Blockers
Bibliographic record
Abstract
Pharmaceutical companies keep producing novel drugs and drug treatments for improving the life of every sick individual, most often following a pattern; a specific drug for a specific condition. Evidence suggests that different medications can have a positive effect on different pathological conditions. The full potential of existing therapies can be revealed through drug repurposing-also referred to as drug repositioning, reprofiling, or re-tasking-which involves identifying new therapeutic uses for approved or investigational drugs beyond their original indications. One significant target in this context is the renin-angiotensin-aldosterone system (RAAS), a crucial regulator of blood pressure and fluid homeostasis, and a central focus in the treatment of chronic cardiovascular conditions such as arterial hypertension (AH) and heart failure (HF). Interestingly, novel investigations show that AT1 antagonists (sartans) are able to broaden their therapeutic scope and potentially combat other diseases such as neurodegenerative diseases, cancer, and osteoarthritis, and even help people with methamphetamine and opioid addiction.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| 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".