Rejection of transplanted hearts in patients evaluated by the component analysis of multi‐wavelength NAD(P)H fluorescence lifetime spectroscopy
Bibliographic record
Abstract
Rejection of transplanted hearts remains one of the principal reasons for death of paediatric patients, but an appropriate diagnostic tool for the mild rejection in early stages is still missing. Tissue autofluorescence (AF) is one of the most versatile non-invasive tools for mapping the metabolic state in living tissues. Increasing interest in the imaging and diagnosis of living cells and tissues based on their intrinsic fluorescence rather than fluorescence labelling is closely connected to the latest developments in high-performance spectroscopy and microscopy techniques. In this contribution, we investigate individual components in spectrally- and time-resolved NAD(P)H fluorescence, revealed by linear unmixing, responsible for increased fluorescence in patients presenting mild rejection of transplanted hearts. Application of such approach has the potential to improve the diagnostics of the cardiac transplant rejection by helping currently used histological analysis.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".