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High-resolution imaging is crucial for diagnosing and planning treatments in clinical anatomy and aging.

Hair transplantation in East Asians needs special techniques to ensure natural results and prevent complications due to their unique hair and scalp characteristics.

Gene mutations can cause problems in male genital development.

The book is highly praised as an essential resource for plastic surgeons, despite minor gaps.

Keratin hydrogels from human hair show promise for tissue engineering and regenerative medicine.

Generalized trichoepitheliomas with alopecia may indicate myasthenia gravis.

The document explains how to determine your tax bracket and the effects of income changes on taxes.

Humans lost body hair relatively recently in evolution.

Wheat straw is valuable for its health benefits and various industrial uses.

Certain VDR gene changes can affect melanoma risk.

AI in robotic surgery improves precision and safety but faces cost and ethical challenges.

AlopeciaDet accurately detects Alopecia Areata early using advanced image analysis.

Transfer learning with three neural network architectures accurately classifies hair diseases.

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

Artificial neural networks can accurately diagnose Alopecia Areata.

There is not enough evidence to know if different ways of putting in eye drops for glaucoma work better than others.

Women have smaller foreheads and different hairline shapes than men.

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

The model accurately predicts hair loss severity in alopecia areata.

AI-personalized hair loss treatments improved hair growth and scalp health without side effects.

The model accurately classifies hair conditions with 97% accuracy.

No single treatment is clearly effective for central serous chorioretinopathy.

3D bioprinting holds promise for medicine but needs more research and clear regulations.

Human-robot interaction becomes simpler as robots achieve full autonomy in surgery.

The Oat mouse model shows mild retinal degeneration, useful for testing treatments.

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

Myasthenia gravis can affect both motor and non-motor systems due to immune system issues.

A teenage girl's excessive hair growth was caused by a medication for mania, but improved after stopping the medication.

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

An intelligent system can classify hair follicles and measure hair loss severity with reasonable accuracy.