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The new method is rapid, sensitive, and accurate for evaluating the quality of the medicinal herb Platycladi cacumen.

Advanced imaging techniques are crucial for accurately diagnosing Monilethrix, a rare hair disorder.

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

The search scheme SMRI is faster and more secure for retrieving encrypted data from the cloud.

Two genetic variations in Moa buffalo help them adapt to heat.

Certain genetic markers, especially the MICA gene, are linked to alopecia areata.

Deep phenotyping helps distinguish between xeroderma pigmentosum and trichothiodystrophy, aiding in diagnosis and treatment.

Hair protein composition is similar across different races and shapes.

The modified osmium method improves hair cortex staining for better visualization.

The optimized VGG19 model accurately classifies hair diseases with 98.64% accuracy.

A new one-step test can quickly identify skin cancer during surgery.

The new image descriptor helps identify skin cancer structures with good accuracy.

Machine learning can accurately predict mental disorders.

Mirex seems to promote a unique group of skin cells different from those affected by another tumor promoter, TPA.

An mFG score of 5 or more indicates above-normal hair growth in Southern Chinese women.

The criteria help doctors diagnose and treat alopecia areata more effectively.

Recognizing specific markers is crucial for correctly diagnosing and treating rare multifocal MPTT in males.

Human hair can be classified into eight types based on physical features, not ethnicity.

The document emphasizes the importance of correctly identifying and classifying genetic hair disorders to help diagnose related health conditions.

MVP treatment is effective and safe for recurrent breast cancer.

The research found enzymes in Stephania epigaea that help make cepharanthine.

A combined approach is needed to fully understand adult stem cells, with genetic lineage-tracing being crucial.

A patient with a new PLEC gene mutation showed symptoms of both muscular dystrophy and myasthenia gravis, which improved with steroid treatment.

Researchers found a new gene variant linked to a rare bone disease, which doesn't always cause symptoms in carriers.

Dr. Bernard Cohen created a new system to classify hair loss using numbers and a detailed scalp map.

Alfredo Rebora suggests a simpler classification for hair loss and a new test for easier diagnosis.

Raman micro-spectroscopy can help distinguish basal cell carcinoma from hair follicles in skin tissue.

The scant hair in snthr-1Bao mice is likely caused by a deletion affecting the Plcd1 gene.

A simple classification based on symptoms helps diagnose and treat inherited skin disorders in Japan.

Transfer learning with three neural network architectures accurately classifies hair diseases.