Exosomes Detection by a Label-free Localized Surface Plasmonic Resonance Method
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
Exosomes contain disease biomarkers for cancer and other pathological conditions. They are groups of nano-scale extracellular communication organelles which dynamically transport cargoes of molecules and genetic materials between cells. Exosomes circulating in our body-fluids provide a snap-shot in real-time for virtually all aspects of our physiology. Isolation detection and quantification methods of exosomes from various bio-fluids are challenging for clinical applications, like liquid biopsy. This paper presents a simple label-free technique to capture and detect exosomes integrating an exosome-capturing synthetic polypeptide (called Vn96). This exosome-capture can efficiently quantitate exosomes present in a fluid and will be used for subsequent molecular analysis (protein and nucleic acid) to facilitate liquid biopsy.
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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) | 0.000 | 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