Real World Case Series: A.G.E. Interrupter Ultra Serum
Bibliographic record
Abstract
BACKGROUND: The A.G.E. Interrupter serum has been developed in an oil-in-water emulsion to contain 30% proxylane, Cassia alata extract, blueberry and pomegranate extract, rhamnose, and gentiana lutea root extract. The technology has several patent ingredients as well as synergistic patents with proxylane, rhamnose, and new ones submitted for the new ingredients. An ex vivo model using this final formulation has shown upregulation of laminin-5, collagen IV, tropoelastin, and collagen III. Collagen IV and laminin are present in the dermal-epidermal junction (DEJ) and are factors in the basement membrane function. Over time, the DEJ decreases in height and in surface area, leading to weakened skin integrity and structure. The serum was tested to illustrate visible life in the jawline, forehead, cheek, and neck as well as instrumental testing showing visible improvement in the nasolabial fold and forehead wrinkle. AIM: To present a real-world case series that demonstrates the use of the A.G.E. Interrupter serum as an adjunctive therapy to collagen-stimulating procedures in a wide variety of patient ages and skin types. METHODS: Eight internationally recognized, licensed dermatologists with extensive experience in cosmetic and facial rejuvenation procedures were selected to participate in an expert panel. During the expert panel, dermatologists were asked to share 2 cases using the A.G.E. Interrupter serum in patients undergoing collagen-stimulating procedures. RESULTS: Following the panel discussion, seven patient cases were selected to illustrate the use of the A.G.E. Interrupter serum in conjunction with collagen-stimulating procedures to optimize patient outcomes and satisfaction. Experts found that daily A.G.E. Interrupter serum application post-procedure led to improved overall results and high patient satisfaction. CONCLUSION: This case series provides evidence for different integrated skincare regimens using the A.G.E. Interrupter serum in a variety of patients.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".