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The research explains how a human enzyme binds and processes its substrate, which could relate to its role in biological functions and hair loss.

The research identified genes and pathways important for sheep wool growth and shedding.

The document concludes that PK/PD modeling is important for determining the safe and effective dosages of drugs.

The L457(3.43)R mutation in the human lutropin receptor causes increased activity and hormone insensitivity, leading to precocious puberty.

Finasteride affects brain processes related to neurotransmission and metabolism, potentially helping with neuropsychiatric conditions.

Researchers found new potential treatments for conditions related to the androgen receptor, like male hormonal contraception, by testing thousands of compounds.

Scalp involvement is common in pemphigus and can lead to hair loss, with the severity of scalp lesions linked to overall disease severity.

Long COVID patients have more health issues than non-infected people.

The new algorithm removes hair from skin images better than previous methods, helping diagnose melanoma.

Chinese medicine may help hair growth and reduce hair loss in androgenetic alopecia.

Home-use lasers and IPL devices are unlikely to directly cause paradoxical hair growth; it may be linked to inflammation or hormonal issues.

Si Jun Zi Tang may slow aging by affecting specific cell signaling pathways.

Saw palmetto supplements may reduce prostate cancer cell growth without being toxic.

CD201+ fascia progenitors are essential for wound healing and could be targeted for treating skin conditions.

Bald thigh syndrome in sighthounds is caused by structural defects in hair shafts due to downregulated genes and proteins.

ceRNA networks offer potential treatments for skin aging and wound healing.

The research reveals how early embryonic mouse skin develops from simple to complex structures, identifying various cell types and their roles in this process.

Finasteride may affect PNMT, causing side effects.

The study found that baicalin has different stable shapes in gas and water, with two shapes better for interacting with positive charges in water.

Machine learning can predict symptoms and quality of life in chronic skin disease patients using smartphone app data, and shows that app use varies with patient characteristics.

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

The document reports findings on genetic research, including ethical concerns about genome editing, improved diagnosis of mitochondrial mutations, solving inherited eye diseases, confirming gene roles in epilepsy, linking a gene to aneurysms, and identifying genes associated with age-related macular degeneration.

Researchers improved a skin disease diagnosis model using online images, achieving up to 49.64% accuracy.

Single-cell engineered biotherapeutics show promise for skin treatment but need more research and trials.

Syntax-based neural networks can match Transformers in handling unseen sentences.

Deep learning helps detect skin conditions and is advancing dermatology diagnosis and treatment.

Most drugs fail to reach the market, but understanding their properties and using strategies like early toxicity tests and drug repurposing can help advance their development.

Blue light might help treat skin conditions by affecting the skin's bacteria.

Different types of fibroblasts play specific roles in wound healing and cancer, which could help improve treatments.

The new model detects hair clusters more accurately and efficiently, helping with early hair loss treatment and diagnosis.