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A patient with a scalp condition and benign skin tumor experienced hair loss and did not improve with treatment, choosing not to have surgery despite a small cancer risk.

Transplanted human Olig2+ astroglia may help improve learning and memory after a stroke.

The model explains how mammal ear hair cells respond to sound and adapt.

The report concludes that atypical Brauer nevus is more common in males, present at birth, and often misdiagnosed due to its unusual scalp locations.

Accurate positioning in female hairline transplants creates a natural, feminine look.

The superficial temporal artery flap is a reliable method for reconstructing complex facial defects with minimal complications.

Mathematical modeling can improve regenerative medicine by predicting biological processes and optimizing therapy development.

A person with a new mutation in the SCN1A gene developed brain inflammation after COVID-19.

3DEEP reveals early hair follicle stem cell formation and niche establishment before hair bulb development.

Hair follicle stem cells can become motor neurons and reduce muscle loss after nerve injury.

Researchers found that certain RNA circles in the brain are linked to disease risk, but their exact role in disease is still unknown.

A rare benign scalp tumor in an infant requires surgical removal.

A machine learning model can predict alopecia areata early using specific gene markers.

Boron/nitrogen-doped carbon nano-onions improve targeted breast cancer treatment by enhancing drug delivery and reducing side effects.

iPSCs help understand and treat neurodevelopmental disorders.

Dopaminergic neurons in the gut have diverse subtypes with different neurotransmitter contents.

AI in dermatology shows high accuracy in diagnosing skin diseases but needs more research for improvement.

Moles may stop growing due to cell cooperation, not just because of individual cell aging.

Rat vibrissae structure relates to their sensory function.

Robotic surgery and artificial hearts are revolutionizing cardiac surgery.

Moles may stop growing because of cell cooperation, not just because of aging cells.

The modified Crawford technique resulted in less lagophthalmos and better cosmetic outcomes for patients with lateral droop.

The algorithm effectively removes hair from skin images, improving melanoma diagnosis accuracy.

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.

FGF-1 causes spiral ganglion neurites to branch more.

Naive Bayes algorithm can help predict hair loss risk early.

A small forehead lesion led to the discovery of a significant brain arteriovenous malformation in a young girl.

Multiphoton excitation microscopy is a promising tool for deep tissue imaging and clinical applications.