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Tumor cell adhesion is linked to higher risk of SLN metastasis and melanoma recurrence, and a model including these factors predicts these outcomes better than one with just clinical data.

The 25Up study collected extensive data on mental disorders and related factors in Australian twins and siblings to investigate the genetics of psychiatric illnesses.

Pattern mode isolation improves the reliability and predictability of Turing patterns.

The model showed that immune system guardians and the cytokine interferon-γ are key in alopecia areata progression.

A new method measures mouse hair loss using shades of gray.

Mobile app ImageMeter calculates scalp area faster and reliably for alopecia treatment.

A new model helps predict treatment success in girls with early puberty.

Asian men have varying hair densities, important for hair transplant success.

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

A machine learning model called CATNIP can predict new uses for existing drugs, like using antidepressants for Parkinson's disease and a thyroid cancer drug for diabetes.

Researchers developed a new method using methylene blue staining to more accurately identify the growth stage of human hair follicles.

Different species have unique sensory adaptations to perceive their environments.

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

Deep learning can accurately detect Alopecia Areata with up to 98.3% accuracy.

Researchers identified promising inhibitors for the BRD4 protein, including finasteride and amentoflavone.

Three cost-effective methods accurately measure finasteride in pharmaceuticals, better than current techniques.

A reliable method was developed to measure dutasteride in tablets accurately and consistently.

A new method uses expert reviews of home videos to objectively assess children's developmental milestones in single-arm trials.

CaBP1 and 2 are important for maintaining the activity of calcium channels necessary for hearing in inner ear cells.

Higher cannabis exposure may worsen hair loss.

The micrometer caliper is a reliable tool for measuring hair diameter for FUE surgery.

Understanding hair follicle interactions can help treat male pattern baldness.

Increasing the dose of baricitinib to 4 mg helps more patients with severe alopecia areata regrow hair.

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

The method accurately measures hormones and endocannabinoids in mice, showing gut microbiota diversity affects these levels and may influence stress and reproductive systems.

Forensic DNA phenotyping is becoming useful for predicting physical traits in criminal investigations but is limited by ethical concerns and incomplete genetic understanding.

Two genes, ERBB4 and ROR1, may cause the unique pigmentation in Lanping black-boned sheep.

Certain gene variations increase male hair loss risk, influenced by hormone levels.

Intrinsic religiosity is linked to a conservative political orientation.

A new genetic variant causes BRESHECK syndrome by disrupting cell growth and stress response.