Hair can accurately predict iron levels in cattle muscle, helping diagnose mineral imbalances.
1 citations,
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.
21 citations,
April 2021 in “Biofabrication” The study created a skin model with realistic blood vessels that improves skin grafts and testing for drug delivery.