Search

everythinglearnresearchcommunity

for

Search:↓

The study found that alopecia areata is strongly linked to autoimmune diseases and may indicate a genetic predisposition to such conditions.

Early exposure to germs may protect against autoimmune diseases, lack of sex increases alcohol preference in fruit flies, a potential baldness treatment could involve blocking a specific receptor, skin memory cells help prevent re-infection, high-fat diets can affect brain cells related to weight, and the link between social status, stress, and heart disease in primates is unclear.

The document concludes that four related skin diseases, which often occur together, are caused by blocked hair follicles.

Children's hair loss can be caused by many factors, including autoimmune diseases, emotional stress, genetics, and infections, with treatment and prognosis varying.

Alopecia should be treated as a medical condition because it may increase the risk of serious diseases and psychological issues.

Alopecia areata causes sudden hair loss, often on the scalp, and can be severe, especially with early onset or related health issues.

The document recommends three dermatology books for their valuable content on evidence-based medicine, comprehensive treatment descriptions, and updated information on hair and scalp disorders.

People with alopecia areata, a skin disease, generally have a poor quality of life, especially if more of their scalp is affected.

Systemic diseases can cause hair loss, which is often reversible with treatment.

The authors suggest that scalp hair might protect against COVID-19 and call for more research on scalp health and the virus.

Common skin fungal infections can suggest a weak immune system, and for scalp infections, pills work better than creams, with several drug options available.

Hair loss in autoimmune blistering skin diseases varies and may regrow with disease control.

Hair and nails can help diagnose diseases, with nail issues often linked to skin conditions and hair loss having various causes and treatments.

Trichoscopy helps diagnose and assess the severity of two types of hair loss diseases, androgenetic alopecia and alopecia areata.

PPAR-γ helps control skin oil glands and inflammation, and its disruption can cause hair loss diseases.

An 8-year-old boy had both alopecia areata and vitiligo on the same spot on his scalp, which is very rare.

Androgenetic alopecia, or hair loss, is most common in people in their 30s, can start early, is often inherited, and may be influenced by factors like hormones and scalp health.

Skin diseases are very common in poor areas, and there's a need for affordable ways to manage and improve skin health.

Hair loss in women often doesn't follow a pattern, isn't linked to age, may be genetic, and can be related to thyroid issues or other health factors.

A man's skin condition, pemphigus vulgaris, came back after he was treated with interleukin 2 for cancer.

The article concludes that correctly diagnosing systemic causes of hair loss requires a detailed clinical evaluation and a systematic diagnostic approach.

Eyelash alopecia areata often goes undiagnosed and can lead to complete eyelash regrowth, especially in younger patients.

The document provides a practical guide for diagnosing and treating various types of hair loss.

The shampoo bar with Aloe vera and cinnamon oil improved hair health and protected against fungi without causing skin irritation.

The document concludes that some dermatology books are useful for their photos or specific topics, while others have limitations like poor quality images or content.

Telogen effluvium is a condition where hair falls out due to various factors like illness, stress, or nutrient deficiency.

The document recommends all three dermatology books for a library, noting their detailed content but also suggesting improvements in clarity and consistency.

Dissolving microneedles show promise for delivering medication through the skin but face challenges like manufacturing complexity and regulatory hurdles.

Telemedicine is effective for diagnosing hair loss, especially in people with darker skin, during the pandemic.

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