Advances in controlled transcranial bubble-mediated drug delivery and opportunities for transvertebral therapy
Bibliographic record
Abstract
The treatment of central nervous system (CNS) disorders is hindered by the presence of specialized barriers that maintain the privileged CNS environment and in doing so restrict the transport of molecules from the vascular compartment to the parenchyma. The ability of ultrasound in combination with intravenously administered microbubbles to transiently open the Blood-Brain Barrier (BBB) to permit the delivery of therapeutic agents is well established in preclinical models and has reached the stage of clinical investigations. Although the methods are not yet as developed as those for BBB opening, ultrasound can also modify the Blood-Spinal Cord Barrier (BSCB) to facilitate drug delivery. Both treatments have immense potential to revolutionize the treatment of CNS disorders, but their widespread clinical adoption hinges on the establishment of robust methods to deliver, monitor and control the exposures to ensure safe and effective treatments in these sensitive tissues. This talk will present recent advances in methods for brain therapy, including three-dimensional transcranial microbubble mapping for treatment control, and will also present new preclinical findings in BSCB opening and approaches for controlled transvertebral focusing at clinical scale.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".