First-in-human PET neuroimaging of [18F]OXD-2314
Bibliographic record
Abstract
This first-in-human positron emission tomography (PET) study evaluates [ 18 F]OXD-2314, a radiopharmaceutical designed for imaging tau in non-Alzheimer’s disease tauopathies. Synthesis of [ 18 F]OXD-2314 was automated using a commercial module and validated for human use. Dynamic PET imaging was performed in healthy control subjects (2 female, 2 male, ages 49–65 years). Kinetic modelling was performed from brain time-activity curves and radiometabolite-corrected arterial input functions to estimate total distribution volumes ( V T ) in each region of interest. [ 18 F]OXD-2314 met all release criteria for human use. PET imaging revealed an initial whole brain peak of 2.3 standardized uptake value, followed by a steady washout. Distribution of radioactivity was uniform among brain regions ( V T range: 2.21 ± 0.29 to 2.81 ± 0.43 mL/cm 3 ). [ 18 F]OXD-2314 was successfully translated to first-in-human PET imaging. No adverse events were reported and PET imaging in patient populations of non-AD tauopathies is underway.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".