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The document suggests that drugs for prostate issues might cause lasting sexual, mental, and physical health problems due to blood vessel damage in the penis.

Higher resolution images are needed to identify scarring and fine hair in alopecia.

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

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

PrPC is important for neural differentiation in cattle and mouse embryonic stem cells.

The book explains the science of tissue repair and regeneration, its medical uses, challenges, and ethical concerns.

Hair follicle stem cells are similar to mesenchymal stem cells and can become neural-like cells under certain conditions.

Human hair keratins help nerve regeneration and support Schwann cell activity.

Hair growth issues can be linked to genetics, diseases, or medications, and new treatments are being developed.

Stem cells can create hair follicles, potentially treating permanent hair loss, and healthy skin and hair depend on mitochondrial function and special fats.

Scientists created hair-growing skin models from stem cells, which could help treat hair loss and skin diseases.

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

The new method improves skin cancer detection in imbalanced datasets.

A new CNN model can detect Alopecia Areata with 98% accuracy.

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

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

AI can accurately diagnose hair and scalp conditions and suggest treatments.

ALX4 is crucial for normal craniofacial and hair development, with specific roles in different cell types.

The device accurately estimates natural hair color at the roots in real time.

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

A new algorithm effectively classifies Alopecia Areata, aiding early detection and treatment.

AlopeciaDet accurately detects Alopecia Areata early using advanced image analysis.

Deep learning can effectively detect hair and scalp diseases early.

Deep learning effectively diagnoses scalp disorders, but improvements are needed.

The AI system HairComb accurately scores hair loss severity, matching dermatologist assessments.

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

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

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

AI can effectively detect hair and scalp disorders from images.

AI can improve alopecia areata diagnosis with high accuracy.