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Reflectance confocal microscopy is a promising non-invasive tool for diagnosing alopecia areata incognita.

Machine learning can predict stress-related hair loss and suggest prevention tips.

A protocol was developed to create 3D skin models from adult diseased cells to study Small Fiber Neuropathy.

Using fillers and neurotoxins together can improve the look of aging eyebrows.

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

Microtechnology methods improve organoid production for medical research.

Researchers improved a skin disease diagnosis model using online images, achieving up to 49.64% accuracy.

An automated system can accurately classify hair disorders using image analysis.

The system can accurately classify hair diseases with 94.5% accuracy using a CNN.

New imaging techniques show testosterone delays hair growth and shrinks follicles in mice, but have limited depth for viewing.

Intravital microscopy helps us see how parasites interact with skin and fat in living animals.

New technologies in acupuncture and biosensors show promise for better medical treatments and healing.

Using computers to analyze drugs can find new uses for them, but actual experiments are needed to confirm these uses.

In vivo confocal scanning laser microscopy is an effective, non-invasive way to study and measure new hair growth after skin injury in mice.

Complete removal of large scalp nevi is recommended to prevent complications.

DVI provides detailed 3D imaging of hair and shows how various products protect and enhance hair.

A new, quick method accurately detects minoxidil in drugs and cosmetics.

HOTTIP and miR-10b may be targeted to improve glioma treatment by reducing resistance to chemotherapy.

The transcription factor Meis2 is essential for touch sensation and proper nerve development in touch receptors.

3D models from confocal microscopy improve melanoma detection on sun-damaged skin.

Strabismus research has advanced with AI diagnostics, minimally invasive surgeries, and non-surgical treatments, led by the USA, China, and the UK.

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

AC-5216 reduces anxiety in mice through neurosteroids affecting GABAA receptors.

Verteporfin reduces growth and stem cell traits in rat hair follicle cells by blocking the Hippo pathway.

Stress can worsen skin conditions and stop hair growth by affecting the body's stress response system.

Progesterone-derived neurosteroids affect GABA-A receptor expression, influencing epilepsy during menstrual cycles.

A new tool can analyze hair to detect changes due to hormones, genetics, and aging.

The new AI system improves remote skin condition diagnosis and access to care.