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The composite sponge helps heal diabetic wounds by reducing inflammation and promoting new blood vessel growth.

Water quality affects mineral content in hair, and coconut oil can protect against damage.

The Brigham Eyelash Tool for Alopecia (BELA) is a reliable way to measure eyelash loss in alopecia areata patients.

AI can improve alopecia areata diagnosis with high accuracy.

All parts of the CLASI-A score are important for assessing skin activity in cutaneous lupus erythematosus.

SL-HyDE improves medical information retrieval accuracy without needing labeled data.

The SbbHLH85 protein helps sweet sorghum grow more root hairs but makes the plant more sensitive to salt.

The occipital region is best for measuring cortisol and cortisone, while the posterior vertex is better for OEA, SEA, and PEA.

Michael L. Beehner proposed a standardized way to describe balding areas on the scalp to help hair restoration experts communicate better.

Genomic prediction can improve breeding strategies for Korean Sapsaree dogs.

Magnetized saline water lotion increased hair growth in men with hair loss.

The assay effectively identifies compounds that affect immune cell activation.

The new skin-targeted COVID-19 vaccine creates strong immune responses and could improve vaccination methods.

Skin pigmentation increases in CRPS-affected areas and improves with symptom relief.

Natural lips are perceived as more attractive, successful, and healthy than augmented lips.

Meis2 is essential for touch sensation and nerve function in mice.

The conclusion cannot be provided because the document content is not available.

The laser system helps study brain cell functions by precisely removing specific cells and observing changes.

The new skin model can predict how chemicals might cause skin allergies.

Machine learning can predict stress-related hair loss and suggest prevention tips.

Kir6.1 mutations in Cantú syndrome increase channel sensitivity and hyperpolarization, while SUR2B mutations do not.

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

The "color-transition sign" helps tell apart alopecia areata incognita from telogen effluvium by looking at hair color changes.

The model helps improve medical devices by showing how skin deforms under pressure.

Topical sensitizers have mixed success in treating alopecia areata.

The study found that nerve signals are stronger when there are more connection points, but not necessarily denser, along the nerve's path in the spine.

Deep learning models can analyze scalp diseases effectively.

Neuropilin 2 may be a biomarker for melanoma and affects melanocyte behavior.

A new method can detect mutations in mice by observing changes in hair follicle cells.

Co5M offers a new way to observe and understand wound healing without labels.