Bracketed Stability Evaluation of Topical Minoxidil and Finasteride in Foamil®.
Bibliographic record
Abstract
Many commercial scalp solutions contain propylene glycol and high quantities of alcohols which can irritate the scalp and cause additional undesirable side effects. Foamil®, a propylene glycol-free and alcohol-reduced foam vehicle, was previously developed to reduce these side effects and increase patient compliance. Two concentrations of combined minoxidil and finasteride (5% Minoxidil/0.1% Finasteride and 12.5% Minoxidil/0.25% Finasteride) in Foamil were extemporaneously compounded and studied to evaluate chemical, physical, and microbial stability over 180 days. An HPLC analysis method was developed and validated to assess chemical stability. Additionally, pH measurement and observation of organoleptic properties was assessed throughout storage. Physical and chemical stability testing was performed at predetermined timepoints (0, 30, 60, 90, 120, and 180 days). Antimicrobial testing was conducted per USP <51> guidelines after 180 days of storage. Together, these results show that the compounded minoxidil and finasteride preparations in Foamil are considered stable for 180 days when stored at room temperature in tightly closed, light resistant plastic containers.
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) | 0.000 | 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) | 0.002 | 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 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".