Perfluorocarbon bubbles as photoacoustic signal amplifiers for cancer theranostics
Why this work is in the frame
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Bibliographic record
Abstract
Phase change nanoemulsions have been proposed as theranostic agents, using light to induce vaporization into bubbles (also called optical droplet vaporization). The current work uses perfluorohexane nanoemulsions (PFH-NEs) stabilized by a highly biocompatible and optically absorbing fluorosurfactant shell. Once vaporized, the bubbles can be used for contrast enhanced ultrasound (CEUS) imaging but also to enhance photoacoustic (PA) signals due to the presence of bubbles and optical absorbing shell material. The formation and expansion of these gas filled bubbles leads to increasing photoacoustic signals for imaging. Compared to other contrast agents which may not give stable signals due to photo-degradation, these contrast agents are shown to be stable up to 24 hours. The source of PA signal enhancement is through the presence of long lasting perfluorohexane (PFH) bubbles resulting from the optical vaporization. These bubbles generated from the PFH-NEs directly generate photoacoustic signals due to the optical absorption from the fluorosurfactant shell, but also secondary signals from the subsequent scattering of the photoacoustic waves from the PFH bubbles. In addition, the pressures generated from vaporization of NEs and ability to load chemotherapeutic agents enable these nanoparticles to also be used for cancer therapy by contributing to drug delivery and transport.
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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 | 0.000 |
| 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) | 0.002 | 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