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The PW91 method is best for calculating the basic physical and chemical properties of Finasteride, a drug used for prostate issues and hair loss.

FT-Raman spectroscopy is effective for identifying drug polymorphs, ensuring quality and stability.

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

The document concludes that hair restoration has improved with follicular unit transplantation, making it more scientific and precise.

The new system helps detect and track early female hair loss better.

A new reliable scale improves accuracy in measuring hair density and treatment response.

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

The document suggests finding a simpler, cheaper way to diagnose Uncombable Hair Syndrome.

Low-coverage sequencing is a cost-effective way to identify genes related to wool traits in rabbits.

The method for measuring uncertainty in finasteride tablets is reliable.

UVF-dermoscopy is a useful tool for accurately diagnosing types of alopecia, especially in people with lighter skin.

Black women with CCCA are more likely to have uterine fibroids.

Hair loss and growth can be accurately measured using computer-assisted counting.

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

The new 3D imaging method accurately measures hair surface details quickly.

Asian men with hair loss have different follicular densities: East/Southeast 61.1, South 63.5, West 63.6 FU/cm².

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

Certain miRNAs might be involved in a hair loss condition called frontal fibrosing alopecia and could possibly help in its diagnosis.

Female pattern hair loss affects 32.3% of women, increasing with age and showing no racial differences.

A new method was developed to accurately detect and measure 47 different drug ingredients in various products.

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

Centralized imaging provides more accurate and consistent hair loss measurements in alopecia areata.

Hair treatments like bleaching increase friction by exposing tiny pores on the hair surface.

Midscalp hair density and terminal hair percentage are good indicators of female pattern hair loss severity.

Dividing hair grafts may make hair look fuller, but more research is needed.

Actual harvested hair follicles were fewer and differed in type from estimated, with older patients and those with multiple transplants needing more careful planning.

A new tool helps better assess and treat hair loss in Chinese men.

Machine learning can use blood tests to help predict moderate-to-severe alopecia areata.

UV-induced autofluorescence is effective for identifying different types of alopecia.