Search

everythinglearnresearchcommunity

for

Search:↓

A postmenopausal woman's hirsutism and high testosterone levels improved after surgery for an ovarian tumor not seen on ultrasound.

Serum steroid profiling, especially 11-deoxycortisol, helps distinguish between adrenocortical carcinoma and adenoma, considering sex and functional status.

Lower SHBG levels may increase the risk of PCOS.

Ladakh hotsprings contain compounds with potential medicinal benefits for various health conditions.

Targeting vitamin D and androgen receptors may effectively treat triple-negative breast cancer, especially with chemotherapy.

Loneliness reduces academic enthusiasm in students.

The new skin model can predict how chemicals might cause skin allergies.

Finasteride affects UGT1A4 enzyme, but not enough to cause issues when combined with other drugs.

Traditional Chinese medicine may help treat ischemic stroke by targeting specific genes and pathways.

Transverse scalp sections are better for diagnosing non-scarring hair loss, while vertical sections are better for a specific scarring hair loss called lichen planopilaris.

Male pattern baldness is mostly inherited, involves many genes, and is linked to other traits like early puberty and strong bones.

Non-obese women with hair loss have higher heart disease risk.

DNA variants can predict male pattern baldness, with higher risk scores increasing baldness likelihood.

Transforming skin disease treatment requires new strategies, better drug models, and patient-focused research.

Doctors need to understand statistics to properly evaluate clinical trials for patient care.

Jojoba roots have unique properties that were previously unexplored.

Using trait prevalence priors in genetic prediction models for appearance traits is currently impractical due to limited knowledge and potential accuracy issues.

Genetic factors influence hair traits like shape, color, and greying in Latin Americans.

Genomic prediction can improve breeding strategies for Korean Sapsaree dogs.

Artificial intelligence can accurately predict hair growth and treatment results in female pattern hair loss patients, with age of onset and duration being key factors.

Shaoyao Gancao decoction may treat alopecia areata by affecting the PI3K/AKT signaling pathway.

Combining negative pressure therapy with platelet-rich plasma speeds up healing and lowers death risk in diabetic foot ulcers.

New models predict male pattern baldness better than old ones but still need improvement.

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

Accurate prediction of eye, hair, and skin color in Latin American populations requires region-specific models and ethical guidelines.

Hair greying is mainly influenced by age, with genetics playing a smaller role.

People with severe hair loss (Alopecia Areata) have different scalp bacteria than healthy people, which might help predict the condition's progress.

KRDQN effectively predicts adverse drug reactions with high accuracy and clear explanations.

Machine learning improves DNA predictions for eye and hair color, but challenges remain for skin tone and facial features.

Certain immune molecules and stress affect hair loss, and while genes play a role, more research is needed to fully understand and treat it.