A Genome-Wide Association Study and Machine Learning Algorithm Analysis on the Prediction of Facial Phenotypes by Genotypes in Korean Women

    March 2022 in “ Clinical Cosmetic and Investigational Dermatology ”
    Hye-Young Yoo, Ki‐Chan Lee, Ji‐Eun Woo, Sung‐Ha Park, Sunghoon Lee, Joungsu Joo, Jin-Sik Bae, Hyuk‐Jung Kwon, Byoung‐Jun Park
    TLDR The model accurately predicts skin conditions in Korean women using genetic information, aiding personalized skincare.
    The study developed a facial phenotype prediction model that accurately predicted skin conditions in Korean women by analyzing genotype information and employing machine-learning methods. This model demonstrated potential utility in the development of customized cosmetics, offering an optimal solution for tailoring skincare products to individual genetic profiles.
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