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

ATR-FTIR spectroscopy could help monitor alopecia areata treatment response non-invasively.

MAFT is a reliable method for forehead contouring with high patient satisfaction and long-term results.

Tofacitinib was more effective than methotrexate for treating alopecia areata.

Multiple eye conditions were studied, highlighting the importance of various imaging methods for diagnosis, the vision side effects of drugs tamoxifen and Propecia, and the usefulness of optical coherence tomography for diagnosing and monitoring macular and retinal diseases.

The machine learning model accurately predicts Systemic Lupus Erythematosus in Omani patients.

Protein microarrays are highly sensitive tools useful for disease diagnosis and studying proteins.

A deep learning model was developed to help diagnose trichothiodystrophy by analyzing hair patterns.

Skin organoids can model tuberculosis infection and help test treatments.

Dermoscopy quickly and accurately diagnosed a rare hair disorder in a 12-year-old girl.

Specific brain and bone imaging findings can help diagnose Trichothiodystrophy.

Tofacitinib is more effective than methotrexate for treating moderate-to-severe alopecia areata.

Lipid-antigen stimulation may play a role in folliculotropic mycosis fungoides.

Tofacitinib effectively treated a woman's severe symptoms from a rare autoimmune condition.

A new mutation in the STING protein causes a disease with lupus-like symptoms and responds well to a specific inhibitor treatment.

Monoclonal antibodies LT-1, LT-2, and LT-7 help diagnose certain blood cancers.

LC-OCT can help diagnose different types of scarring alopecia.

3D models from confocal microscopy improve melanoma detection on sun-damaged skin.

LC-OCT can help identify lupus-related scarring hair loss by spotting unique features.

Machine learning can predict how well patients with alopecia areata will respond to certain treatments.

Tofacitinib is effective for severe alopecia areata, similar to oral betamethasone.

LC-OCT is a useful noninvasive tool for diagnosing and monitoring alopecia areata.

Certain immune markers may predict chemotherapy response in mesothelioma, and nivolumab is a tolerable and effective treatment for advanced non-small cell lung cancer.

Targeting adipocyte-to-mesenchymal transition could help treat fibrosis.

DM and AA may share a common cause.

UV-induced autofluorescence is effective for identifying different types of alopecia.

The technique accurately identifies and evaluates hair follicle structures in skin.