Atopic dermatitis

A non-invasive diagnostic method that uses light and sound can help clinicians assess and track patients with a chronic inflammatory skin condition.

Researchers develop machine learning models for accurately diagnosing an inflammatory skin condition.

Differences in the skin microbiome could reveal clues as to why some cases of atopic dermatitis are more severe than others.

A microRNA called miR-355 has been identified as the key regulator of skin cell differentiation in patients with atopic dermatitis.

While no single mouse model replicates the entire spectrum of eczema in humans, collectively they provide valuable clues into how specific aspects of the disease arise.

Assay combines microfluidics and next-generation sequencing to reveal more mutations than existing targeted gene tests

Even when not suffering from flare ups, people susceptible to atopic dermatitis have different microbes living on their skin than non-sufferers

The age at which eczema appears in young children may indicate its cause