Effective epilation of white and blond hair using combined radiofrequency and optical energy
Bibliographic record
Abstract
OBJECTIVE: The present study examined the long-term photoepilatory effect on blond and white hair of a combined intense pulsed light (680-980 nm) device with a bipolar radiofrequency component producing electrical current at a depth of 4 mm. MATERIALS AND METHODS: Thirty-six adult women with white and blond hair (skin phenotypes I-V) were included in the study. The chin and upper lip were treated with four treatment sessions over 9-12 months with long-term follow-up performed at month 18 (6 months after the last treatment). The level of RF energy was 20 J/cm3, while optical fluences varied from 24 to 30 J/cm2. Hair counts and photographic evaluation of some sites were obtained at baseline, months 1, 3 and 5 and the final treatment session. RESULTS: An average hair removal of 48% was observed at month 18 (6 months following the final treatment session). A slightly higher photoepilatory efficiency was noted for blond hair (52%) versus white hair (44%) treatment sites. CONCLUSION: Combined radiofrequency and optical energy technology may produce effective photoepilation of blond and white hair phenotypes.
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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 | 0.000 |
| 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".