Hair Science

How machine learning is transforming hair assessment and the critical challenge of building AI diagnostic systems that serve every hair type …

The health risks of chemical hair straightening — including the NIH study linking frequent use to elevated cancer risk — and the …

Understanding hair mineral analysis — a diagnostic technique using hair samples to assess mineral status, heavy metal exposure, and …

The biology, genetics, and technology of hair — from fibre structure and curl patterns to diagnostic innovation and the health effects of …

The genetic foundations of hair texture diversity — from genes that determine curl pattern and fibre diameter to the population genetics of …

Separating what hair is from how hair is doing — hair type is genetically determined and permanent, while hair health is a measurable, …

What determines hair curliness at the molecular and structural level — from follicle shape and keratin bonds to the physics of the full curl …

How dermatological and trichological science are converging — treating the scalp as skin, hair as a biomarker, and diagnostics as the bridge …

Understanding trichoscopy — the dermatological technique for examining hair and scalp at high magnification, its clinical uses, and its role …

Beyond the Walker system — why popular hair type classifications fall short and how multi-dimensional approaches provide precision for …

Understanding hair density — follicles per square centimetre, how it varies across populations, and why it matters for diagnostics and …

Understanding hair porosity — how the hair shaft absorbs and retains moisture, why it matters for hair health, and how it is measured …

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