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Certain existing drugs, like glycopyrronium and botulinum toxin type A, may help treat excessive sweating.

KRDQN effectively predicts adverse drug reactions with high accuracy and clear explanations.

Copper-quercetin complexes could be effective in treating cancer, infections, and promoting bone healing.

Excessive putrescine causes hair loss in transgenic mice by disrupting hair follicle development.

Setipiprant did not significantly improve hair growth in men with hair loss.

Ethnic differences in skin and hair affect penetration minimally, but cultural habits matter in product development.

Targeting and modifying the stem cell niche can improve regenerative therapies.

Imbalanced skin bacteria worsen diabetic foot ulcers, but adjusting them might improve healing.

A new tool accurately identifies human cornea cell states and key factors.

Nanoemulsions can effectively treat skin cancer with fewer side effects.

Finasteride use may increase suicidality risk, especially in young men.

A high neutrophil-to-lymphocyte ratio may predict poor response to hair loss treatment.

Hard α-keratin in hair has a unique, nonordered structure, different from other fibers.

Low selenium levels can extend lifespan but worsen health issues.

Sex hormones may influence COVID-19 severity, with males at higher risk, and certain hormone therapies could potentially treat the virus.

Marine microbes could be used in cosmetics for sun protection, skin care, and possibly preventing hair loss.

Machine learning can effectively identify genes to improve wool quality in sheep.

Machine learning can accurately predict PCOS phenotypes using lifestyle and symptom data.

AI-assisted surgical robots improve surgery precision and safety.

AI can improve hair disorder diagnosis and treatment but can't replace doctors yet.

AI is revolutionizing healthcare by improving diagnosis, treatment, and monitoring, but still needs close supervision.

AI can predict hair loss patterns to improve care and treatment.

AI improves medical care by enhancing diagnosis and treatment for better patient outcomes.

AI is transforming healthcare by improving diagnostics and therapy, despite challenges with data and trust.

AI is advancing in dermatology and cosmetology, raising questions about its potential and trustworthiness.

AI is revolutionizing non-surgical cosmetic procedures by improving personalization, safety, and access.

AI can accurately measure hair loss severity in alopecia areata.

Adjusting AI training data for skin condition distribution improves accuracy across different clinical settings.

AI can greatly improve healthcare by enhancing disease prevention, detection, diagnosis, and treatment.