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Removing hair from mice without reproductive glands led to grey hair, possibly helping to understand greying in aging.

The paper concludes that for natural-looking hair restoration, it's important to create an irregular hairline, use appropriately sized and angled grafts, and ensure a snug fit between grafts and recipient sites.

A good hair transplant is judged by various factors including cosmetic appearance, hair angles, complication signs, and donor scar consideration.

Most American men experience hair loss by age 50, with limited effective treatments available and new options not expected soon.

The document concludes that surgery is a preferred treatment for cicatricial alopecia, with the method chosen based on individual factors and may require multiple sessions and careful postoperative care.

The document concludes that patients with skin of color need specialized dermatological care and education to manage unique skin conditions effectively.

The document reviews key historical figures and discoveries in dermatology.

Artificial dermis used for hair transplantation can reconstruct scalp defects effectively without the need for tissue expansion.

AI is effective in diagnosing and treating hair disorders, including detecting hair loss and scalp conditions with high accuracy, but it should supplement, not replace, doctor-patient interactions.

3D-cultured cells in HGC-coated environments improve hair growth and skin integration.

The author believes artificial dermis might not be the best first option for hair transplant surgeons when other surgical choices exist for scalp reconstruction.

Artificial intelligence can accurately predict hair growth and treatment results in female pattern hair loss patients, with age of onset and duration being key factors.

The KEBOT system is a highly accurate AI tool for analyzing hair transplants.

The conclusion is that measuring how drugs partition into artificial sebum is important for predicting their delivery into hair and sebaceous follicles, and it provides better information than traditional methods.

Different compounds move through artificial sebum at different rates, which can help choose the best ones for targeting hair follicles.

An AI photographic device effectively tracked hair growth improvements in women treated for hair loss.

AI can predict hair loss patterns to improve care and treatment.

Patients using social media have mixed feelings about alopecia treatments, noting hair growth but also frustration with treatment recurrence.

Nonlinear artificial neural networks are better at identifying different types of animal hair than linear ones.

Tiger cubs fed artificial milk lacking certain amino acids developed eye problems and hair loss.

Selective breeding caused the unique curly hair in Mangalitza pigs.

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

The Scalp Coverage Scoring method reliably measures hair density from images.

Artificial sebum L closely mimics human sebum for drug delivery research.

Diffusion in artificial sebum is mainly influenced by molecular size and is much faster than in skin lipids.

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

New skin imaging, teledermatology, and AI could become key in future dermatology care.

Dermal papilla cells can help form hair follicles and produce hair.

The study found that variations in hair protein genes are likely due to evolutionary deletions or duplications.

The artificial skin promotes better wound healing and skin regeneration.