Hair can accurately predict iron levels in cattle muscle, helping diagnose mineral imbalances.
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March 2019 in “International Journal of Cosmetic Science” The model predicts hair breakage based on key hair properties and helps product developers.
April 2019 in “The journal of investigative dermatology/Journal of investigative dermatology” Machine learning can predict how well patients with alopecia areata will respond to certain treatments.
April 2017 in “The journal of investigative dermatology/Journal of investigative dermatology” Researchers found three different ways drugs work to treat hair loss from alopecia areata and identified key factors for personalized treatment.
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April 2021 in “Biofabrication” The study created a skin model with realistic blood vessels that improves skin grafts and testing for drug delivery.