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Most children with skin inflammation taking methotrexate had lab abnormalities, but liver issues often improved without changing the medication dose.

Researchers found that certain miRNAs, which affect immune system regulation, are differently expressed in mice with a hair loss condition compared to healthy mice.

The N-K GM Series offers a free, effective solution to eliminate aflatoxin and cancer, improving health and life expectancy.

Machine learning can accurately diagnose PCOS non-invasively using clinical and ultrasound features.

Tofacitinib successfully treated vitiligo in a patient with lupus without side effects.

Researchers developed a new, precise method to measure hair loss in mice using image analysis.

Skin surface chemistry and OCT can improve skin disease diagnosis.

Higher levels of MIG and IP-10 may help diagnose and monitor Alopecia Areata.

A patient with a new PLEC gene mutation showed symptoms of both muscular dystrophy and myasthenia gravis, which improved with steroid treatment.

CCCA involves immune response and metabolism issues, suggesting new treatment options.

The model predicts minoxidil's effectiveness and side effects better than traditional methods.

Hair samples can reliably monitor tacrolimus levels in kidney transplant patients.

Tofacitinib works better and is more tolerable for severe alopecia than conventional treatments and DPCP immunotherapy.

A woman with lupus developed rare skin growths that went away on their own.

Inhibiting mTORC2 can reduce DNA repair and increase cancer cell death, suggesting potential for targeted brain cancer treatments.

Advanced imaging techniques are crucial for accurately diagnosing Monilethrix, a rare hair disorder.

Gut bacteria differences could help diagnose and treat alopecia areata.

Computer vision techniques can help detect and assess skin conditions like vitiligo, alopecia areata, and dermatitis.

Fibroblasts can be turned into melanocytes for potential skin treatments.

Certain metabolites are lower in women with PCOS and could be potential markers for the condition.

IMTA can help regrow hair in severe alopecia areata when JAK inhibitors don't work well.

BST2 is a key marker for hair loss disease alopecia areata.

A gene-based model predicts lung adenocarcinoma outcomes and helps guide treatment decisions.

SOD1 and KL are promising targets for new hair loss treatments.

Trichoscopy can reliably distinguish between alopecia areata and trichotillomania.

A new diagnostic model can help better diagnose and understand Alopecia Areata.

Certain blood miRNAs are linked to severe alopecia areata and could lead to new treatments.

Specific mutations in a receptor cause facial abnormalities and hair loss.

A new portable microscope can effectively monitor skin wound healing in real-time.