Search

everythinglearnresearchcommunity

for

Search:↓

Elastic Net DNA methylation clocks are inaccurate for predicting age and health status; a "noise barometer" may better indicate aging and disease.

The research found that androgens help control blood flow in the rat prostate through a specific binding site.

OCT can detect hidden hair follicles in alopecia areata, indicating potential hair regrowth.

Severe baldness on the top of the head is linked to a higher chance of heart disease, especially in men under 60.

VGG16 and VGG19 are the most accurate for classifying scalp and hair diseases.

AI can effectively detect hair and scalp disorders from images.

Microneedles combined with light therapy can improve skin disease diagnosis and treatment.

Modern lifestyles, including poor diet, stress, and long-term use of certain medications, hinder the body's ability to heal from inflammation, leading to chronic diseases.

Some skin conditions are common during pregnancy and can be safely treated without affecting the pregnancy outcome.

Researchers found potential urine markers for polycystic ovary syndrome, including testosterone-glucuronide and 11α-hydroxyprogesterone, which may help diagnose the condition.

Some diseases can improve the outcomes of other diseases, leading to new treatment possibilities.

The cat died from a hard-to-treat fungal infection despite various treatments.

Radiotherapy was effective for treating a large scalp plaque of Bowen's disease when other treatments failed.

Scoring systems help doctors assess and treat skin diseases effectively.

RNA can be extracted from horsehair roots for analysis.

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

Some people with primary cicatricial alopecia also have inflammatory bowel disease, suggesting a possible connection.

Machine learning can predict symptoms and quality of life in chronic skin disease patients using smartphone app data, and shows that app use varies with patient characteristics.

MendelVar is a tool that helps identify important genes by combining GWAS data with Mendelian disease information.

Diseases have a big social impact in Nordic countries, affecting healthcare decisions.

The new ddPCR method reliably detects unwanted viruses in CAR-T cell products, ensuring their safety for patients.

More prostate biopsies increase the chance of finding cancers that may not need treatment.

The document concludes that a new biosensor can efficiently detect prostate cancer cells and that standardized referrals help find significant cancers effectively.

Infrared thermography, especially with dermoscopy, improves accuracy in diagnosing active hair loss due to inflammation.

The study concluded that changing the culture conditions can cause sika deer skin cells to switch from a flat to a 3D pattern, which is important for creating hair follicles.

The new model detects hair clusters more accurately and efficiently, helping with early hair loss treatment and diagnosis.

Advanced nanocarrier and microneedle drug delivery methods are more effective, safer, and less invasive for treating skin diseases.

The new method improves skin cancer detection in imbalanced datasets.

The method accurately detects diabetes with 94% effectiveness, reducing misdiagnosis risk.

Better datasets and methods are needed for reliable vitiligo detection using deep learning.