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This study examined noninvasive tissue samples, including buccal swabs, hair follicles, saliva, and urine cell pellets, and found hair follicles and urine cell pellets promising for transcriptomic and clinical analyses due to their sample quality and performance in disease-relevant applications.

This study found that hair follicles and urine cell pellets from noninvasive samples may be the most promising for transcriptomic analyses due to their consistent quality and applicability to disease-relevant research.

This review highlights recent innovations in hair specimen analysis, discussing its applications in medical diagnostics, forensic science, and stress assessment while noting challenges such as hair growth variability and contamination that limit its current impact.

This study analyzed scalp hair proteins from healthy children and their mothers, finding that non-structural proteins could serve as promising biomarkers for understanding long-term developmental changes and health status linked to early childhood experiences.

This study developed a two-step diagnostic model using transcriptome biomarkers from hair follicles to improve the accuracy of methamphetamine use disorder diagnosis, achieving high prediction accuracy in distinguishing non-recovered and almost-recovered patients from healthy controls.