Microbubbles as Ultrasound Contrast Agents and in Targeted Drug Delivery
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The development of microbubbles has had considerable impact on the field of diagnostic ultrasound. These minute, gas- or lipid-filled spheres have enabled imaging in the kidney, liver, heart, and myocardium with resolutions that were previously unachievable. Insonation of these microagents generates high-energy cavitational oscillations, which, in addition to providing contrast, can increase local drug diffusivity through microstreaming or bubble collapse. The ability of focused insonation to induce such collapse on ligated microbubbles offers opportunities to deliver targeted therapies in novel ways. Microbubbles have had considerable impact on cancer research in terms of both imagining tumors and through the delivery of therapeutic agents and on the delivery of substances across biological obstructions such as the blood-brain barrier. This review offers a discussion of current approaches used in microbubble construction, of the underlying physics involved in their creation and destruction, and of current applications for these particles, the latter demonstrating their importance for high-contrast medical ultrasound. Challenges to overcome and future areas of microbubble application are also discussed.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it