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Deleting the PTEN gene in mice causes nerve cells to grow larger and heal better after injury, but may cause overgrowth and hair loss in older mice.

Dopaminergic neurons in the gut have distinct subtypes, some releasing both dopamine and acetylcholine.

Exosomes from stem cells help improve nerve repair in rats.

A deep learning method can detect nutritional deficiencies from hair and nail images with 89% accuracy.

Forensic DNA phenotyping faces challenges due to inconsistent terminology, limited genetic understanding, and debates over technology and models.

Hair follicles can help diagnose traumatic brain injury quickly and non-invasively.

Fibroblasts can be mistaken for neural cells, so functional validation is needed.

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

NGF-modified hair follicle stem cells may help treat Alzheimer's by improving brain function and reducing harmful proteins.

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

Progesterone protects neurons from damage by converting to allopregnanolone, which works through GABAA receptors.

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

Fat and hair follicle stem cells can become neurons, useful for treating brain diseases.

Researchers found two new genetic variants linked to Alzheimer's disease.

Stem cells can move to brain injury sites and be tracked, showing promise for treating brain diseases.

Generative AI tools like GPT-4o can effectively automate SALT scoring for alopecia areata, matching clinician accuracy.

Rat whisker cells can help turn other cells into nerve cells and might be used to treat brain injuries or diseases.

CDKN2AIP gene is less active in nevus sebaceous, affecting related RNA networks.

AI can effectively predict COVID-19 mortality risk using patient data.

The revised BASP classification for hair loss is less accurate and harder to use but could still be a viable option.

Machine learning can predict hair health accurately using personal data.

The search scheme SMRI is faster and more secure for retrieving encrypted data from the cloud.

Human hair follicle stem cells can safely and effectively help nerve regeneration.

Hair stem cell regeneration is controlled by signals that can explain different hair growth patterns and baldness.

The ShorT method can detect and help reduce bias in medical AI by identifying shortcut learning.

Stem cells improve nerve repair by enhancing blood vessel growth.

HAP stem cells in hair follicles could help repair nerves and spinal cords.

Accurate prediction of eye, hair, and skin color in Latin American populations requires region-specific models and ethical guidelines.