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Hair loss can be caused by cancer, treatments, or skin conditions, and trichoscopy helps diagnose it.

Two-photon microscopy improves skin imaging but faces safety and cost challenges for clinical use.

PRP, exosomes, and physical therapies show promise for hair and tissue repair, but need more research for optimization.

Understanding embryologic layers improves skin disorder diagnosis and supports developing targeted therapies.

Mesenchymal stem cells may help reduce melanin in UV-exposed mice.

Immune cells are crucial for normal skin development and their dysfunction can cause skin disorders.

A machine-learning test using hair can help detect autism early in infants.

AI can effectively detect hair and scalp disorders from images.

Cellular flows and tissue mechanics guide feather follicle formation in birds.

Genosomes are promising for safe and effective gene delivery in therapy.

[6]-Gingerdiol 3-monoacetate shows promise for treating T. whipplei infections.

Keratin 18 helps diagnose and predict cancer progression and affects cancer growth and spread.

Fine-tuned BERT models are better than LLMs for detecting bias in medical data.

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

Disrupting natural body clocks increases the risk of developing type 2 diabetes.

Chemical treatments severely damage hair cuticles, especially in previously treated hair.

Elastin-like recombinamers show promise for better wound healing and skin regeneration.

Catharanthus roseus and Schwenckia americana extracts are generally safe but may cause kidney and liver tissue damage.

Adipocytes can change into fibroblast-like cells to help with wound healing.

Scientists made a mouse that shows how a specific protein in the skin changes and affects hair growth and shape.

Alk1 in specific cells is crucial for proper nerve branching and hair function.

FGF-5 promotes Cashmere goat hair growth by increasing keratin genes and reducing certain LncRNA and target genes.

Combining multiple algorithms predicts hair fall more accurately than using single algorithms.

Sweat gland development involves two unique skin cell programs and a temporary skin environment.

MicroRNA-205 helps hair grow by changing the stiffness and contraction of hair follicle cells.

Mouse touch-sensitive nerve cells adjust their connections based on competition with other similar cells.

Not having enough or having too much of the protein Grainyhead-like 3 leads to various developmental problems.

KIF18B is important for correctly positioning cell division machinery in skin cells, affecting hair follicle development.

Strontium ranelate helps cartilage growth by blocking a specific cell pathway.

Telogen Effluvium is a common, usually reversible hair loss condition, often improved by removing the trigger and possibly treated with various products, though their effectiveness is uncertain.