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Infrared spectral imaging can map hair growth proteins and sugars without staining.

Sphingosine 1-phosphate affects inflammation and gene expression in different aorta cells.

MESTSV is a rare tumor that is mostly benign but needs long-term monitoring due to potential recurrence.

The study found that pili bifurcati causes hair to intermittently split into two branches, each with its own outer layer.

Severe genetic variants in children with a specific adrenal condition match predicted symptoms well, but milder variants do not.

Machine learning can help identify biomarkers for personalized Pemphigus vulgaris treatment.

Dilated follicular infundibula and increased catagen/telogen follicles are key indicators for diagnosing alopecia areata.

A common mutation in the hHb6 gene is linked to monilethrix, but other factors may also play a role.

Different parts of the body's fat tissue have unique cell types and characteristics, which could help treat chronic wounds.

A deep learning model was developed to help diagnose trichothiodystrophy by analyzing hair patterns.

Recognizing specific features of African-American hair can help diagnose hair loss conditions.

Raman spectroscopy could effectively guide skin cancer surgery by identifying tumor margins.

The case suggests a possible autoimmune link between lichen sclerosus and vitiligo.

The flexible fixed-sequence testing method allows for more effective evaluation of multiple goals in a clinical trial while controlling the risk of false positives.

The updated GRADE guidance advises considering context when interpreting variability in research results and introduces tools for assessing subgroup effects.

Multi-thresholding is the best method for separating hair from skin in laser hair removal.

Hair follicles in nonsegmental vitiligo are better protected from immune attacks than in alopecia areata.

ChatGPT is more accurate at diagnosing hair disorders in lighter skin tones than darker ones.

Hair analysis can help identify specific minerals and amino acids linked to various diseases.

scINSIGHT helps understand single-cell gene expression better than current methods.

HBCs in the olfactory epithelium can self-renew or differentiate into other cell types, with specific patterns during regeneration.

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

Dual TCR Treg cells are common in various mouse tissues and show diverse characteristics.

PCFCL may have unrecognized subtypes and needs more research.

A new gene mutation is linked to monilethrix in the studied family.

Human basal cell carcinomas and squamous cell carcinomas have unique gene expression patterns not fully mirrored in mouse models.

Standardized forms and digital tools can improve alopecia biopsy diagnosis.