Optimization of Genetic and Soluble Cargo Delivery to the Injured Lung using Ultrasound and Microbubbles
Bibliographic record
Abstract
Acute respiratory distress syndrome (ARDS), a type of inflammatory respiratory failure seen in about 10% of patients admitted to the intensive care unit, is characterized by pulmonary edema and hypoxemia. Incompetence of the vascular barrier in lung injury leads to increased permeability of the vascular endothelial monolayer, fluid leakage, and alveolar flooding. Even with the best supportive care – the only treatment option available – the mortality rate for ARDS remains a staggering 40%. Our lab has previously demonstrated the feasibility of ultrasound and microbubbles (USMB) to deliver therapeutic cargo to murine lungs in an ARDS model. Here we demonstrated that delivery of claudin-5 and 70kDa dextran could be optimized by modulating ultrasound parameters, microbubble composition and concentration, and determined that USMB may be most effective in delivering small soluble cargo. In conclusion, USMB-mediated delivery to the injured lung can be fine-tuned and may provide a novel treatment approach for ARDS.
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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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".