A 6-Month, Prospective, Multi-arm Study for the Efficacy of Standardized Nutraceuticals to Improve Hair Fiber Thickness and Strength
Bibliographic record
Abstract
INTRODUCTION: Hair thinning is a prevalent concern influenced by multiple factors including stress, hormonal changes, diet, and lifestyle, with varying impacts across demographic groups. Oral supplements addressing these key root causes through a multi-targeting, patented, botanical-based Synergen Complex have been developed to combat hair thinning across different populations. This study sought to build on existing evidence from previous clinical studies evaluating hair growth and quality by evaluating the effectiveness of these nutraceuticals in enhancing hair fiber diameter, and thus hair strength and length, in adults with thinning hair. METHODS: Women, Vegan, Balance, Postpartum, and Men). All subjects had hair thinning, self-reported and confirmed by the study dermatologist. Assessments occurred at baseline, day 90, and day 180. Measurements included hair shaft diameter via light microscopy, hair breakage/shedding via a four-region hair pull test, investigator global assessment (IGA) of hair parameters, and subject self-perception questionnaire. RESULTS: A total of 252 participants enrolled, with 244 completing the study per protocol. Ingestion of the HGNs was associated with a significant increase in hair shaft diameter across all groups by day 180. Hair pull tests showed significant reductions in intact, broken, and total hair shedding overall. In-person IGA was correlated with significant improvements in hair attributes-strength, length, thickness, and overall hair health-across all groups. Self-perception data revealed strong agreement across groups with statements regarding hair improvements by day 180. CONCLUSIONS: This study demonstrates that ingestion of these bio-specific HGNs are associated with significantly enhanced hair shaft diameter and decreased breakage, resulting in longer, stronger hair across their intended populations. These findings support the use of these HGNs for hair thinning, offering alternative options for various populations for improving hair growth and thickness. CLINICALTRIALS: gov identifier, NCT06362941.
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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 | 0.000 | 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) | 0.000 | 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".