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The method allows for 3D tracking of hair follicle stem cells and shows they can regenerate hair for up to 180 days.

Radiation increases cell death in hair follicles, but certain treatments can protect against this effect.

The KEBOT system is a highly accurate AI tool for analyzing hair transplants.

Adding more glutathione to the preservation solution doesn't reduce oxidative stress in hair transplants.

To prevent and treat Hair-thread tourniquet syndrome in infants, keep a close eye on their limbs, manage maternal hair loss, and educate parents and healthcare providers.

Breast cancer may be detectable through changes in scalp hair lipids.

Mutations in the desmoplakin gene can cause hair problems and deadly heart disease.

The new method predicts post-hair transplant images more accurately than other methods.

The hair test for vitamin D could be a useful alternative to blood tests, providing a longer-term vitamin D status, but more research is needed.

A more sensitive assay was developed to detect enzyme activity converting arginine to citrulline in hair follicles.

Touching hair can activate nearby nerve cells through signals from the hair's outer layer.

Hair analysis can detect drug use but is costly and interpretation is complex.

Educating healthcare workers and parents about hair toe tourniquets can help prevent serious complications.

Preoperative stress markers alone don't predict chronic post-surgical pain.

Bleaching hair doesn't affect the accuracy of dye identification using SERS.

COC use doesn't increase hair stress hormone levels, but hair treatments may affect results.

Hair analysis is valuable for health and forensics but faces challenges like growth variability and contamination.

Stress causes hair loss by disrupting hair growth cycles, and combining medical and cosmetic treatments can help manage it.

Deep learning can improve non-invasive alopecia diagnosis using hair images.

New technologies are improving the diagnosis and treatment of hair and nail disorders.

Dermoscopes help tell FPHL apart from other hair loss types and can detect it early by identifying specific patterns.

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

Researchers developed a simple, low-cost method to accurately measure Aminexil in hair tonic.

Glycogen metabolism is important for energy and processes in human hair follicles, and hair follicles may produce glucose from lactate.

A new method accurately measures plant ingredients in hair growth products.

Hair root analysis can effectively detect somatic mosaicism in double cortex syndrome.

Phototrichogram and hair diameter measurements are effective, noninvasive ways to assess hair growth and detect early hair loss, with the most common pattern being reduced hair density.

The vellus index is a simple, quick, and reliable method to assess and monitor hair growth, especially in hirsutism.

The method effectively maps lead and zinc in hair, aiding understanding of heavy metal exposure risks.

Dermatologists can accurately detect smaller differences in hair density than previously thought.