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Cone beam computed tomography can allow for smaller safety margins around the target area in prostate cancer radiation treatment if used for ongoing treatment checks.

Artificial neural networks can accurately diagnose Alopecia Areata.

A new method makes analyzing large datasets with rare events faster and more efficient.

Collider bias can mislead our understanding of COVID-19 risk and severity.

Mouse zigzag hair bends form due to a 3-day cycle of changes in hair progenitors and their environment.

Recognizing congenital triangular alopecia is crucial to avoid unnecessary treatments.

Systematic end-of-trial biopsies are the most reliable way to assess outcomes.

The machine learning model effectively assesses the severity of hair loss and could help dermatologists with treatment decisions.

A single robotic system can accurately harvest and implant hair grafts, showing promise for real-world use.

The LTF gene may help predict and manage nonspecific orbital inflammation.

The new model improves Alopecia Areata classification accuracy to 93.1%.

The Juri Temporo-Parieto-Occipital Flap is a good option for scalp reconstruction and hairline restoration with a natural look, despite some risk of necrosis and scarring.

Traumatic brain injury hospitalizations in Brazil showed specific trends and patterns from 2008 to 2021.

A new semi-automatic hair implanter could make hair transplants easier, more successful, and more accessible.

Machine learning can accurately identify Alopecia Areata, aiding in early detection and treatment of this hair loss condition.

The EMG-to-force model accurately predicts hip muscle forces during walking.

New method finds genetic links between Type 2 Diabetes and Prostate Cancer not seen before.

A new algorithm accurately analyzes animal coat and skin colors quickly and easily.

The HGCA tool helps identify genes that work together by analyzing their co-expression patterns.

A new method improves alopecia diagnosis using non-invasive steps.

Trichoscopy effectively diagnoses temporal triangular alopecia in children.

Hair follicle stem cells might help treat traumatic brain injury.

A new method accurately measures college students' mental health by considering time perception and clustering techniques.

Dermoscopy helps accurately diagnose temporal triangular alopecia, avoiding unnecessary treatments.

The new method found new shared genetic areas linked to both Type 2 Diabetes and Prostate Cancer.

AI and robotics are improving treatment and monitoring of neurodegenerative disorders like Parkinson's.

AI can effectively detect hair and scalp disorders from images.

DNA can predict physical traits like eye and hair color accurately, especially in Europeans, but predicting other traits and in diverse populations needs more research.