Sex-Dependent Skin Aging and Rejuvenation Strategies
Bibliographic record
Abstract
The skin, the largest external organ, serves as the primary defensive barrier against various environmental factors such as ultraviolet exposure, pollution, dietary habits, pathogens, and chemical compounds. Consequently, the skin reflects our age through visible signs of aging, such as wrinkles, age spots, dullness, and sagging. This review explores the gender-related aspects of cutaneous aging and the associated dermatological conditions. It highlights the different manifestations of aging in females and males that become evident after the age of 12, emphasizing the susceptibility to conditions such as seborrheic eczema, acne, and rosacea. Treatment strategies often vary between genders due to these disparities. While men tend to experience accelerated skin aging, most anti-aging products and strategies primarily target females. However, there has been a recent shift in men’s priorities, leading to increased interest in maintaining a youthful appearance and seeking cosmetic treatments. The manuscript covers a comprehensive range of modern dermal anti-aging and rejuvenation procedures, including plastic surgery, bio-revitalization methods, lasers, microneedling, and topical treatments. Additionally, it explores promising natural and synthetic therapeutics for combating age-related skin changes. The focus is on understanding the physiological aspects of gender-related cutaneous structure and aging to guide effective and tailored approaches in dermatological practice.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".