TH07 - A New Novel Topical Treatment for Androgenic Alopecia.
Bibliographic record
Abstract
Objectives: Androgenic alopecia (AGA) is common among men. Currently, topical minoxidil and oral finasteride are approved by the FDA for the treatment of AGA. Unfortunately, neither of them is completely effective and systemic adverse events have been reported after finasteride administration. Triple Hair Inc. has developed a new topical treatment regimen using a combination of finasteride, latanoprost and minoxidil - TH07. Each of the compounds was effective and safe as a topical treatment in animal models and clinical studies of AGA. The aim of this proof-of-concept study was to evaluate the effectiveness of the TH07 in comparison to the 3 drugs as monotherapy on hair growth in men with AGA. Methods: Patients with light to moderate AGA were randomized to be treated topically, once daily, for 6 months with TH07, 0.1% finasteride, 0.03% latanoprost, or 5% minoxidil. Data of investigators' assessment based on pictures, as well as patients' self-assessment and satisfaction, were collected. Results: A moderate hair re-growth in the majority of the participant treated with TH07 in comparison to the retreatment with its active components administered as monotherapy was reported by the investigators. Most of the patients treated with TH07 were satisfied with their hair appearance in comparison to the other treatments. No systemic adverse events were reported and the TH07 was well tolerated. Conclusions: The data of the current study demonstrated that the topical administration of TH07 resulted in an improved efficacy in the treatment of the AGA compared to treatment with each of the ingredients administered separately.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".