Intrinsically absorbing photoacoustic and ultrasound contrast agents for cancer therapy and imaging
Bibliographic record
Abstract
Nanoparticles are submicrometer in size and are used in a variety of ways in the biomedical field. They can carry therapeutic drugs, either in the particle core or surface to target cancer sites in the body. Additionally they can contain imaging agents to diagnose and monitor the tumor size using different imaging modalities, such as fluorescence and nuclear magnetic resonance imaging. Novel theranostic nanoparticle agents, called perfluorohexane nanoemulsions (PFH-NEs) were synthesized whose intrinsic properties could be used for both imaging (ultrasound and photoacoustic) and therapy. Compared to other theranostic agents, our PFH-NEs can absorb sufficient near-infrared light to enhance contrast and provide deeper penetration imaging at laser fluences causing minimal damage to healthy tissue. One contrast mechanism (optical absorption/photoacoustics) allows us to validate localization of the agent and another (acoustic impedance/ultrasound) allows the imaging of therapeutic delivery after particle activation. In this work, we show the potential of these PFH-NEs to be used as multimodal imaging agents and for therapy.
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How this classification was reachedexpand
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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".