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Treatment type and patch size affect hair regrowth patterns in alopecia areata.

Intralesional triamcinolone is more effective than cryotherapy for treating alopecia areata in middle-aged adults.

A rare hair regrowth pattern can occur in some people with alopecia areata.

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

The DNN-DTIs method accurately predicts drug-target interactions and is useful for drug repositioning.

Dysplastic nevi have unique gene expressions, making them distinct from common melanocytic nevi.

Toluene diisocyanate exposure can cause immune sensitization by interacting with proteins in hair follicles and sebaceous glands.

The digital system for measuring melasma shows promise but needs more development for better accuracy and automation.

MSF-VMDNet accurately segments skin cancer images better than existing methods.

MITF+ melanoma patients are more likely to have multiple melanomas and unique skin patterns.

Antisense oligonucleotides show promise for treating Myotonic Dystrophy type I.

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

UTMD with diclofenac and Doxil® improves cancer treatment by boosting immune response and reducing tumor-supporting cells.

The model can effectively help diagnose meibomian gland dysfunction automatically.

A new classification for trichothiodystrophy helps identify genetic causes and potential treatments.

The new image descriptor helps identify skin cancer structures with good accuracy.

Scalp disease in dermatomyositis causes significant symptoms and has unique features.

The new method improves skin cancer detection in imbalanced datasets.

Myotonic dystrophy may be classified as a segmental progeroid disorder.

Dermoscopy and trichoscopy are useful for diagnosing skin signs in Dermatomyositis.

The AI model DIET-AI effectively diagnoses skin diseases as well as doctors.

There is no cure for myotonic dystrophy type 1, so treatment focuses on managing symptoms and complications.

The new AI system improves remote skin condition diagnosis and access to care.

An automated system can predict death risk in thin melanoma by analyzing immune cells.

Mitf plays a key role in melanoma progression and is linked to disease stage.

Testicular microlithiasis may increase the risk of testicular cancer and patients with it should be closely monitored.

Dermoscopy is a useful tool for diagnosing and managing topical steroid dependent face.

The study found markers indicating that cells responsible for hair color are differentiating in specific areas of the hair follicle.

The new deep learning system can accurately recognize hair loss conditions with a 95.11% success rate.

The DMI3 gene is essential for nodule development and symbiosis in certain plants.