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

Computer vision techniques can help detect and assess skin conditions like vitiligo, alopecia areata, and dermatitis.

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

Reflectance confocal microscopy is useful for diagnosing and monitoring skin diseases, but it has limitations and requires expertise for correct use.

The method improved hair analysis for better forensic identification.

Observers often disagree on ultrasound results for polycystic ovaries, needing better training for consistency.

The research found a link between certain molecular features and the biological activity of BC3, which can help identify or create new active compounds.

Using deep learning to predict gene expression from images could help assess colorectal cancer metastasis.

A new method accurately measures molecular movement without complex modeling.

Ultrasonography can help diagnose and monitor hair loss conditions.

Hair follicle analysis can track body changes from high-intensity interval training.

The new "whisker follicle microinjection assay" can test how different biomolecules affect hair growth and color.

Ultrasonography in dermatology improves diagnosis and treatment of skin conditions.

The new algorithm accurately captures both facial hair and skin in 3D using a camera-based system.

The modified wash test is better than TrichoScan® for diagnosing hair loss.

Using both DLQI and Skindex-16 together gives a better understanding of quality of life in skin disease patients.

Optical coherent tomography can effectively detect steroid use by analyzing hair changes.

A quick method to measure minoxidil using a light-based titration technique was developed.

A deep learning model accurately predicts male hair loss types using scalp images.

Hair follicles are smaller in people with androgenetic alopecia compared to those with normal scalps.

A new method was developed to analyze certain hormones and drugs in human blood efficiently.

Measuring OPC-17116 in hair can reliably indicate drug exposure and timing.

MRI helps evaluate androgenetic alopecia severity.

A new method can quickly and accurately detect drugs in hair.

Ultrasound can help detect early signs and severity of hidradenitis suppurativa.

Some herbal extracts can promote hair growth and prevent hair loss.

AI can accurately identify some cosmetic fillers in ultrasound images but needs improvement for others.

The MDhair app accurately assesses hair loss severity with 94% accuracy.

Scalp texture changes during hair regrowth after chemotherapy.