Evaluation of the safety and effectiveness of intradermal administration of QR678 Neo<sup>®</sup>hair growth factor formulation: A phase‐IV, open‐label, single‐arm multi‐ethnicity clinical trial
Bibliographic record
Abstract
BACKGROUND: hair re-growth factor formulation has already proven its effectiveness and safety in treating androgenetic alopecia and female pattern hair loss. AIM: This study aims to evaluate effectiveness and safety of hair re-growth factor formulation at multiple centers for reduction of hair fall and regrowth of hair in androgenetic alopecia and female pattern hair loss. MATERIALS AND METHODS: An open-label, prospective, and interventional study was carried out at multiple centers of different countries. A total of 2428 patients with androgenetic alopecia and female pattern hair loss within the age range of 18-65 years were included in the study. Hair pull test, global photographic assessment, videomicroscopic assessment tests were performed at the beginning, after fourth and eighth sessions, and self-assessment through questionnaire related to satisfaction and side effects was carried out at beginning and at after eight session. RESULTS: Hair pull test was positive in only 12% of the patients after eight sessions. Beneficial results were noted in the global assessment score (mean-6) after fourth session and eighth session (mean-8). Huge improvement was noted in terminal hair count, vellus hair count, and hair density after eighth sessions. Also, with self-assessment score, a higher satisfaction score was noted. On long-term follow-up as well, no side effects were noted. CONCLUSION: is an innovative, efficacious, and safe technique for the treatment of androgenetic alopecia and female pattern hair loss.
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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 | 0.004 | 0.003 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".