Bibliographic record
Abstract
INTRODUCTION: Onychomycosis is the fungal infection of the nail plate by dermatophytes, yeasts and nondermatophyte molds. The treatment of onychomycosis poses many challenges due to low initial cure rates and a high rate of relapse and recurrence. Oral therapy is limited by adverse events and drug-drug interactions, whereas topical therapy has limited penetrance through the nail plate. AREAS COVERED: New and reformulated drugs are in development for the treatment of onychomycosis. Experimental molecules include both oral and topical azole molecules, topical reformulations of terbinafine, the benzoxaboroles tavaborole and AN2718, the aganocide NVC-422 and the photosensitizer Sylsens B. These drugs are in varying stages of development so results from in vitro studies to Phase III clinical trials are discussed to present a complete picture of the current development pipeline for onychomycosis. EXPERT OPINION: The development of new molecules from familiar and novel classes for both oral and topical administration is encouraging. It is clear that there is currently more emphasis on the development of topical drugs than orals, due to their lower potential for adverse events and drug-drug interactions. The emergence of novel molecular targets is encouraging for the possibility of combination therapy and any future drug-resistant strains of fungi.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 0.007 |
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".