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Hair loss reduces hair thickness and coverage, but drug treatments mainly revive dormant hairs rather than reverse thinning; patients often undervalue their hair loss severity.

Women have smaller foreheads and different hairline shapes than men.

Sex and sex hormones can affect brain inflammation in Parkinson's disease, with male mice being more affected and female mice showing a protective effect.

3D-ultrasound can non-invasively detect and predict alopecia areata phases and outcomes.

Computer-aided imaging system accurately measures baldness in Chinese women with hair loss.

Human hair varies in structure based on curl type, with high curl hair showing the most differences.

Endoplasmic reticulum stress plays a key role in developing atherosclerosis.

Certain genes in Iranian sheep are linked to wool production and heat adaptation.

Strabismus research has advanced with AI diagnostics, minimally invasive surgeries, and non-surgical treatments, led by the USA, China, and the UK.

Rare genetic variants in five specific genes are linked to male-pattern hair loss but only account for a small part of the risk.

No single treatment is clearly effective for central serous chorioretinopathy.

Tai Chi and Wuqinxi, combined with medication, effectively lower blood pressure.

The new method predicts post-hair transplant images more accurately than other methods.

The DLQI is reliable but may not fully capture the impact of skin conditions on quality of life, especially in emotional and psychological areas.

Ultrasound and Doppler analysis are valuable tools for diagnosing and understanding polycystic ovary syndrome.

The SOSTDC1 gene is crucial for determining sheep wool type.

Meibomian glands are highly specialized and differ significantly from other sebaceous glands in structure and function.

The scalp microbiome is more diverse and may be more important in hair loss than the gut microbiome.

PDGFC gene may help select goats with desirable curly wool traits.

The research helps understand hair development in sheep, aiding in better wool breeding.

Dihydrotestosterone treatment on 2D and 3D-cultured skin cells slows down hair growth by affecting certain genes and could be a potential target for hair loss treatment.

The new method removes hair from skin images quickly and accurately to help identify skin lesions better.

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

Machine learning and single-cell analysis improve understanding and treatment of wound healing.

Female pattern hair loss shows similar characteristics in both genders and should be classified by hair loss patterns, not gender.

Key genes and RNAs related to hair growth in sheep were identified, aiding future breeding improvements.

People with alopecia areata are more likely to have anxiety and depression and a lower quality of life.

Goat genes show adaptation to environments and traits like body development, with differences among cashmere, feral, and milk-producing goats.

Personalized hair care using modern techniques and science is essential for healthy hair.

New-onset fibromyalgia after COVID-19 is poorly understood and needs more research.