Advancing Hair Loss Assessment in Alopecia Areata: The Mathematical Case for Centralized, Standardized Imaging

    April 2026 in “ medRxiv
    David M Fleet, Andrew G. Messenger, Alyson Bryden, Matthew J Harris, Susan Holmes, Paul Farrant, Brian Leaker, Anita Takwale, Michelle Oakford, Manjit Kaur, Megan Mowbray, A. E. Macbeth, Pikun Gangwani, Maria A Gkini, Vicky Jolliffe
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    Preprint — not peer reviewed. This was posted to a preprint server or data repository. It has not been through a journal's review process, and its findings may change or not hold up.

    Studysummary In this study, centralised measurements provided more consistent and accurate results for assessing hair loss in mild-to-moderate alopecia areata, reducing error compared to local ratings.
    Automatically generated from the study's abstract, not written by a person, and not a review of the full paper. Not medical advice or a treatment recommendation. Read the original study, and consult a qualified healthcare professional before changing treatment. Full disclaimer
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