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Researchers found four genes that could help diagnose severe alopecia areata early.

Ritlecitinib effectively improves hair growth in alopecia areata patients, regardless of hair loss pattern.

Different levels of anti-Müllerian hormone can help diagnose polycystic ovary syndrome in women of different ages.

The model and estimator can predict drug exposure in kidney transplant patients well.

The trial aims to understand how obesity and lifestyle affect circadian rhythms in people with schizophrenia and bipolar disorder.

The study developed a tool to predict how gut microbes process foods and drugs, showing that similar compounds often share metabolic pathways and effects.

Ovol2 is crucial for hair growth and skin healing by controlling cell movement and growth.

New method finds genetic links between Type 2 Diabetes and Prostate Cancer not seen before.

Identified genes linked to male-pattern baldness may help develop new treatments.

Researchers found 15 new genetic links to skin traits in Japanese women.

Lifestyle changes are the main treatment for PCOS, which is a complex condition requiring early management to reduce its health impacts.

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

A gene variant causes patched hair loss in mice, similar to alopecia areata in humans.

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

Cases of alopecia areata and its impact on life quality rose globally, but when adjusted for age, the rates decreased, especially in poorer regions.

Tandem repeats significantly influence hair color, especially darker shades, across different ancestries.

Genetic variations greatly affect individual metabolism and can impact health and disease risk.

There are various effective hormone treatments for puberty induction in boys and girls with hypogonadism, and starting treatment early is important.

Alopecia Areata severely impacts mental health, causing anxiety and depression, affecting quality of life.

One Ashwagandha extract may help protect cells with its antioxidant properties, while another could promote hair growth.

The document concludes that computational methods using networks and various data can improve the process of finding new uses for existing drugs.

A new model can predict drug-disease links well, helping drug research.

A gene variant increases the risk of a type of hair loss by affecting hair protein production.

Long COVID causes a wide range of long-lasting symptoms that change over time and are hard to diagnose and treat.

Hair care practices and concerns about maintaining hairstyles can reduce how often African American women exercise.

A botanical extract may help manage hair loss from chemotherapy by preventing cell death in hair follicles.

TNF-a may not be as involved in certain types of hair loss as previously thought.

PRP injections did not significantly improve hair growth.

Bayesian networks are tools for modeling variables' probabilistic relationships, which can efficiently represent complex probabilities and help in making inferences.

Certain DNA variants can predict straight hair in Europeans but are not highly specific.