Search

everythinglearnresearchcommunity

for

Search:↓

CNGA3, GLUD1, and SIRT1 are promising targets for treating aging and glioblastoma.

The engineered yeast strain BLYAS can quickly and sensitively detect androgenic chemicals.

A new method improves protein analysis in hair, aiding health and disease research.

The research found specific genes and proteins that affect how fast chickens' feathers grow, which is not solely determined by traditional inheritance patterns.

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

Researchers created a genetic library from a cashmere goat's skin and found new genes linked to hair growth.

Aminoguanidine increases VEGF in stored hair micrografts, potentially improving their viability after transplant.

Silver oxide nanoparticles help detect small molecules effectively.

Diet changes can protect against harmful environmental effects on fetal development.

Arsenic trioxide effectively treats APL, improving survival rates despite its toxicity.

An AI photographic device effectively tracked hair growth improvements in women treated for hair loss.

Alopecia areata may be linked to scalp microbiome differences, suggesting potential treatments with prebiotics, probiotics, and postbiotics.

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

The platform effectively grows lung cancer cell spheroids for drug testing.

Researchers found a new mutation in the HR gene linked to a rare hair loss condition.

Arg1+ macrophages may play a role in causing alopecia areata.

cp-asiAR may effectively treat hair loss by targeting androgen receptors.

ASLNC168501 can help treat hair loss by restoring hair follicle stem cell function.

The new microwell device helps grow more hair stem cells that can regenerate hair.

miR-146b-5p may help treat hair loss by promoting hair growth and reducing inflammation.

High-content screening is useful for finding new treatments for rare diseases and has led to FDA-approved drugs.

Specific RNA patterns are linked to alopecia areata.

Genetic testing for hairless gene mutations is crucial to correctly diagnose and treat atrichia with papular lesions.

Agouti protein affects melanocortin receptors through competitive antagonism and receptor down-regulation.

The Alopecia Areata Assessment Tool (ALTO) effectively identifies alopecia areata from other hair loss types but needs more validation.

Machine learning can help identify biomarkers for personalized Pemphigus vulgaris treatment.

Hair shaft miR-221 levels can help detect malignant melanoma.

HDMHG0401-10 treatment significantly improved hair count and was better than a placebo in reducing hair loss in men with hereditary hair loss, with no major side effects.