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Autophagy prevents early aging and maintains lipid and pheromone balance in mouse glands.

Soy protein with isoflavones reduces wrinkles and improves skin hydration in postmenopausal women.

Skin acetyl-CoA synthesis is crucial for overall lipid balance.

Balancing good and harmful microbes is key to healing chronic wounds.

Light affects skin health, aging, and cancer risk, and new light-based treatments and imaging are promising for skin care.

The laser system can safely improve recovery and quality of life for cervical cancer patients after surgery.

Injectable biostimulators can improve skin by boosting collagen and fat cell activity, but more research is needed to confirm their safety and effectiveness.

Smart biomaterials and dressings show promise in treating chronic skin diseases by improving drug delivery and minimizing side effects.

Regenerative cosmetics can improve skin and hair by reducing wrinkles, healing wounds, and promoting hair growth.

Combination pharmacotherapy is generally more effective for treating keloids and hypertrophic scars.

Mathematical modeling can improve regenerative medicine by predicting biological processes and optimizing therapy development.

Researchers developed an algorithm for self-diagnosing scalp conditions with high accuracy using smart device-attached microscopes.

Innate lymphoid cells help control skin bacteria by regulating sebaceous glands.

Some drugs can cause hair loss by affecting hair growth cycles.

Case-only trees and random forests improve predictions of treatment effects in clinical trials.

CAH is a genetic disorder affecting cortisol production and causing hormonal imbalances, with treatment and diagnosis varying by form and symptoms.

Adding soybean oil to Nonomuraea dietziae increases production of a beneficial compound by improving metabolism and enzyme systems.

Elastic Net DNA methylation clocks are inaccurate for predicting age and health status; a "noise barometer" may better indicate aging and disease.

DNA profiling in forensics has improved, but predicting physical traits and ancestry from DNA has limitations and requires ethical consideration.

The study found that diseases can be grouped by symptoms and that the accuracy of predicting disease-related genes varies with the data source.

The study found genetic variations in sheep linked to traits like milk production, growth, and health.

The algorithm accurately identified alopecia in women of childbearing age using claims data.

Finasteride improves prostate cancer prediction by adjusting kallikrein marker levels.

Genetic predictions of baldness in Europeans don't apply well to African men.

PrrH sRNA controls pyochelin production in *Pseudomonas aeruginosa*.

Keratin protein production in cells is controlled by a complex system that changes with cell type, health, and conditions like injury or cancer.

The random forest model effectively helps diagnose COVID-19 using key factors like age and symptoms.

Twelve key genes may improve cashmere production by influencing hair follicle cycles.

Nitrogen starvation in microalgae increases lipid production, making it a potential biofuel source.

Sox2 controls hair color by affecting pigment production in hair follicles.