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

Hair analysis is crucial for diagnosing, managing, and monitoring addiction.

Hair analysis can detect drug use but requires careful interpretation due to its complexity.

The conclusion is that a new method can identify cosmetic residues on hair and match them to their products.

The method effectively analyzes human hair proteins, especially nonfilamentous ones.

Trace element deficiencies may contribute to diffuse alopecia.

KSR1 is crucial for certain skin tumor formation and could be a cancer therapy target.

TrichoScan often makes mistakes and needs improvement for correct hair growth analysis.

The method accurately measures steroid hormones in hair to study hormone dynamics related to hair loss.

Medical practitioners need to understand basic statistics to properly evaluate clinical trials and avoid unethical designs.

Targeting immune pathways like JAK/STAT may help treat frontal fibrosing alopecia.

Analyzing hair with this method can help understand and monitor scalp conditions and treatment effects.

Doctors need to understand statistics to properly evaluate clinical trials for patient care.

Infrared spectroscopy can analyze hair for forensic and medical insights.

Hair cortisol analysis can help diagnose stress-related conditions but needs more refinement for widespread use.

Many Korean women with female-pattern hair loss have reduced hair density at the temples.

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

Alopecia Areata causes significant structural and compositional changes in hair.

The updated SALT II tool offers a more precise way to measure scalp hair loss.

Hair from breast cancer patients shows changes in structure and composition, and a test using these changes detected cancer but also falsely identified some healthy samples as cancerous.

Researchers made a detailed map of gene activity for different parts of human hair follicles to help create targeted hair disorder treatments.

Hair analysis for drugs in psychosis patients is unreliable due to varying hair growth rates.

Hair proteins have weak spots in their α-helical segments.

The method improved hair analysis for better forensic identification.

A new method accurately measures molecular movement without complex modeling.

A reliable method was developed to measure aristolochic acid-I in rat blood.

Better standardization and transparency in statistical reporting are needed to improve hair care research quality.

SFE is a better extraction method, and the HPTLC method is effective for analyzing wedelolactone in E. alba.

A new method measures mouse hair loss using shades of gray.