Search

everythinglearnresearchcommunity

for

Search:↓

Researchers developed a quick and sensitive method to identify and measure hair growth-promoting substances in a herbal mix.

Researchers developed an algorithm for self-diagnosing scalp conditions with high accuracy using smart device-attached microscopes.

Cuscuta reflexa extracts and an isolate promoted hair growth and could be natural treatments for hair loss.

Phyllanthus niruri extract may help treat hair loss by promoting hair growth and blocking a hair loss-related enzyme.

Machine learning and deep learning can effectively diagnose alopecia areata.

An intelligent system can classify hair follicles and measure hair loss severity with reasonable accuracy.

"TRICHOASSIST" is a system that analyzes hair and scalp images to help diagnose scalp diseases.

Machine learning can accurately identify Alopecia Areata, aiding in early detection and treatment of this hair loss condition.

Combining multiple algorithms predicts hair fall more accurately than using single algorithms.

People with certain types of hair loss, especially lichen planopilaris and telogen effluvium, as well as African Americans, Asians, and men, are more likely to have severe vitamin D deficiency.

Altering SSAT affects fat metabolism and body fat in mice.

Edelweiss extract may help prevent hair loss and increase hair density.

The herbal extract was found to effectively reduce and prevent hair loss without any side effects.

Rampai leaves extract can significantly stimulate hair growth.

More research is needed on natural hair products, especially clinical studies.

The AI system HairComb accurately scores hair loss severity, matching dermatologist assessments.

The herbal shampoo is safe, effective, and helps treat hair loss.

HHORSC exosomes and PL improve hair growth treatment outcomes.

Hair loss from Alopecia Areata is caused by both genes and environment, with several treatments available but challenges in cost and relapse remain.

Medicinal herbs might treat hair loss by affecting genes and pathways related to lipid and glycerophospholipid metabolism.

Fructus Malvae may help with diabetes, tumors, and hair loss due to its various active compounds.

Women with effluvium have higher levels of certain urinary steroids, possibly due to stress and increased adrenal activity.

Itraconazole-loaded nanoparticles are more effective and less toxic for treating fungal infections than conventional oral itraconazole.

Cedrol from Platycladus orientalis leaves may promote hair growth effectively, especially in female mice.

The conclusion is that the increasing use of drugs for lifestyle reasons is a complex issue influenced by corporate profit, consumer behavior, and the medicalization of everyday life, with potential negative effects on personal well-being.

The method reliably profiles eicosanoids and shows epitestosterone reduces their levels, similar to common anti-inflammatory drugs.

Green tea extract for hair loss may cause liver damage.

Combining plasma rich in growth factors with hair transplant surgery may lead to faster recovery and better outcomes for hair loss treatment.

RE-ORGA, a Korean herb extract, may help prevent hair loss.

Phyllanthus emblica extract in ethosomes could potentially prevent hair loss.