Perspective on in vivo SPME for human applications: Starting from monitoring doxorubicin during lung chemo-perfusion
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
In vivo solid-phase microextraction (SPME) is a non-destructive and minimally invasive sampling technique for living systems that facilitates the acquisition of representative metabolome profiles while offering detection of low abundance, short-lived, and unstable species that not easily captured by traditional methods. Recently, following over 10 years of adventure in ex vivo and in vivo animal studies, SPME was successfully applied for in vivo analysis of human tissue. The proposed in vivo SPME method was coupled to LC-MS for monitoring of doxorubicin during in vivo lung perfusion (IVLP) with temporal and spatial information. In view of this breakthrough and considering the already comprehensive body of research on animal models in the literature, we provide here future perspectives on in vivo SPME from three different aspects: optimization and development of SPME features, direct coupling with MS for real-time monitoring, and future applications.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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