Diffusion-mediated quantification of dose-dependent antifungal drug tolerance
Bibliographic record
Abstract
Antimicrobial resistance is a global health problem, with drug-resistant fungi posing major challenges for the treatment of immunocompromised patients. Antifungal tolerance is a recently discovered phenomenon whereby pathogenic fungi, including the multidrug-resistant pathogenic yeast Candidozyma auris (formerly Candida auris ), grow slowly above minimum inhibitory drug concentrations. We combine physics-based spatiotemporal models with microbiology experiments to quantitatively investigate the emergence of tolerance to all three major classes of antifungal drugs in C. auris . Specifically, we combine Fick’s second law solved using a finite difference method to simulate drug diffusion with data from experimental disk diffusion assays to determine the concentration ranges at which antifungal-tolerant colonies emerge. This biophysics study advances antimicrobial resistance research by providing a method to quantify antifungal tolerance and by demonstrating that antifungal tolerance is a strain-, drug-, and dose-dependent phenomenon in an emerging fungal pathogen.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".