Transcranial focused ultrasound as a treatment for hypertension
Bibliographic record
Abstract
Pharmaceuticals currently used for reducing blood pressure prove ineffective for many patients. As well, although hypertension is the most common disorder in pregnancy, many anti-hypertension drugs pose significant risks associated with restricted fetal growth, decreased uteroplacental blood flow, and fetal loss. Deep brain stimulation of the periaqueductal gray (PAG) region has shown promise in treating drug-resistant hypertension in patients. However, a non-invasive approach would carry far fewer risks, particularly during pregnancy. Our work has explored the potential of focused ultrasound (FUS), targeted to the PAG region, to reduce blood pressure. In a rodent model of hypertension, FUS delivered to the PAG successfully reduced high blood pressure to within the normal range. By comparing treatment regimes, we have also investigated the mechanisms underlying this reduction in blood pressure and ways to prolong the effect. This approach could point towards a new treatment for hypertension that has greater safety and broader applicability for vulnerable patient populations.
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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 | 0.000 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".