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Human stem cells were turned into cells similar to those that help grow hair and showed potential for hair follicle formation.

Human skin models are essential for studying skin's sensory, immune, and nervous system interactions.

Pig skin cells can turn into mesodermal cells but lose their ability to become neural cells.

Nerves and chemicals in the body can affect hair growth and loss.

Deep learning can improve non-invasive alopecia diagnosis using hair images.

A new neural network helps identify key regulators in cell changes, aiding in understanding diseases and finding new treatments.

EPI-NCSCs from hair follicles may help treat brain development issues in mice.

PolyQ repeats in neural proteins evolve together, affecting brain function and disease.

Epigenetic factors affect the success of using iPSC-derived cells for spinal cord injury treatment.

AI can predict hair loss by analyzing genetic, scalp, and lifestyle data.

Melanocyte stem cells are crucial for skin pigmentation and have potential in disease modeling and regenerative medicine.

Hair follicle stem cells can become different cell types and may help treat neurodegenerative disorders.

AI in alopecia research needs better tools for predicting treatment outcomes and ensuring fairness.

AcD scaffolds improve tissue repair and regeneration by combining stem cells with a supportive matrix.

The Notch signaling pathway is important for hair follicle development and could help create treatments for hair disorders.

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

Jumonji genes are important for development and their mutations can cause abnormalities, especially in the heart and brain.

The new AI system accurately diagnoses hair disorders and offers personalized treatment recommendations.

Researchers developed an algorithm for self-diagnosing scalp conditions with high accuracy using smart device-attached microscopes.

Neural organoids show promise for future CNS disease treatments.

AI improves medical care by enhancing diagnosis and treatment for better patient outcomes.

Human dermal fibroblast proteins help restore nerves during healing.

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

Adding obesity data to machine learning models improves heart disease prediction accuracy.

Estrogen helps prevent artery plaque by stopping monocyte capture in blood vessels.

AI is transforming healthcare by improving diagnostics and therapy, despite challenges with data and trust.

Nanogels with hydrophobic modifications improve oral drug delivery for intestinal disease treatment.

Keloids may be influenced by stress and psychological factors.

Bioengineered microneedles and nanomedicine offer promising, precise treatments for tissue regeneration.

Made 8 minoxidil samples; 1 cocrystal, 7 salts formed.