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A new computer tool quickly measures hair thickness differences in people with common types of hair loss.

HKN-2 antibody targets specific skin and hair cells, showing keratin complexity.

The peptide IMT-P8 can effectively deliver proteins into the skin and cells for potential skin treatments.

Enzyme replacement therapy improved multiple symptoms of homocystinuria in mice.

Forensic DNA phenotyping can predict physical traits from DNA but faces challenges in knowledge and ethics.

Scientists found a new protein, AMY117, common in Alzheimer's patients, which could be important for treatment and diagnosis.

Machine learning identified three unique subtypes of androgen excess in women with PCOS, each with different metabolic risks.

MITF+ melanoma patients are more likely to have multiple melanomas and unique skin patterns.

The study found that urine metabolites M1b or M4 are the best indicators of ATD use in horses, with detection possible up to 77 hours in urine and 28 hours in blood.

"TRICHOASSIST" is a system that analyzes hair and scalp images to help diagnose scalp diseases.

The UD-PrOZA program successfully diagnosed 18% of adult patients with rare diseases, often using genetic testing.

3D models from confocal microscopy improve melanoma detection on sun-damaged skin.

Key proteins affecting cashmere fiber quality were identified for better breeding.

Mitochondrial features can predict colorectal cancer outcomes and improve immunotherapy.

Microbiome analysis, BEVs, and AI can improve PCOS diagnosis and treatment.

Researchers found 44 proteins that change during different hair growth stages and may be important for hair follicle function.

AI can improve early diagnosis and classification of PCOS, aiding in prevention of related health issues.

The new AI software predicts melanoma outcomes more accurately than traditional methods.

PRAME helps distinguish between benign and malignant skin cells in most cases.

Sex hormone antibodies can help identify male and female contributors in forensic samples.

DNA markers can help predict male pattern baldness, useful in criminal and missing person cases.

Myoblast transplantation shows promise for treating various muscle and heart conditions.

The digital system for measuring melasma shows promise but needs more development for better accuracy and automation.

Mitf plays a key role in melanoma progression and is linked to disease stage.

The research identified proteins that change as goat hair follicles begin to form, helping to understand how cashmere grows.

Mealworm protein helps fat cell development and may aid in metabolic health and hair growth.

The TPAP method effectively categorizes androgenetic alopecia patients with high accuracy, but needs real-world validation.

Melanogenesis-related proteins may trigger immune responses in alopecia areata patients.