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A new method improves protein extraction from hair, helping identify potential biomarkers for fetal growth issues.

Higher SRD5A2 expression predicts better response to finasteride in treating urinary symptoms.

Drugs localize differently in hair strands based on their properties.

The method accurately measures cyproterone acetate in plasma, showing no significant difference between two formulations.

Explosions don't stop hair proteins from being used to identify people.

A blood test level of 3.2 ng/mL of Antimüllerian hormone is good for identifying polycystic ovarian morphology in European women aged 25–45.

SIP is a better method for measuring hair growth accurately.

Computer-aided imaging system helps measure balding area in female pattern hair loss.

AFM can diagnose hair disorders by revealing detailed hair surface changes.

The method can measure multiple steroids in human hair to study long-term steroid metabolism, especially in newborns and children.

XGBoost can effectively diagnose PCOS with 87% accuracy.

The conclusion is that a new method could improve the identification of autoimmune targets in alopecia areata, despite some limitations.

Adipose stem cells show common protein changes as they grow, especially involving S100A6.

Diagonal earlobe crease and lipoprotein(a) together help diagnose coronary heart disease.

Atopic dermatitis affects the appearance of skin reactions, making certain features more common and improving diagnostic accuracy with dermoscopy.

Adhesive tape impression is a useful tool for diagnosing dermatophytosis in dogs and cats.

The new assay can track and measure melanosome transfer between skin cells, confirming filopodia's role in this process.

Multi-omics techniques help understand the molecular causes of androgenetic alopecia.

Keratin peptides in hair may help identify gender and ethnicity, but more research is needed.

Automated image analysis helps diagnose and monitor alopecia areata by efficiently measuring hair follicles.

The AI model accurately classifies Alopecia Areata with 96.94% accuracy.

The BIOMAP glossary standardizes data to improve research on atopic dermatitis and psoriasis.

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

Certain types of alopecia areata are linked to allergies, autoimmune diseases, and family history.

Predictive computational analyses have evolved biopower by using technology to track and predict individual and group behaviors.

The methods tested are reliable for assessing dandruff reduction.

The methods accurately measure finasteride and tadalafil in Entadfi™ capsules for quality control.

Men with male-pattern baldness have higher levels of certain testosterone metabolites and may have more active androgen metabolism.