Kao Corp. reports that a novel technique using artificial intelligence (AI) to monitor skin surface lipids (SSL) and their ribonucleic acid (RNA) can precisely predict constantly changing skin conditions. Some 86 attributes were examined in skin; changes in the cases of aging and during the menstrual cycle were reported.

These findings were presented at the 72nd Annual Congress of the Japan Society of Obstetrics and Gynecology, held online in April 2020. They also were presented at the 31st IFSCC Congress, held online in October 2020.

Previous Findings: SSL-RNA Expression

Kao previously discovered the presence of human RNA in sebum and developed its SSL-RNA monitoring technology to comprehe­nsively analyze this RNA. The company then identified that SSL-RNA is associated with the symptoms of atopic dermatitis in adults and young children. Furthermore, that RNA expression patterns vary from day to day depending on health conditions and the environment. Kao thus began researching associations between skin conditions and SSL-RNA expression.

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Published by Cosmetics & Toiletries, November 16th