Kao and Preferred Networks (PFN) are developing a beauty counseling service for consumers by applying AI technologies, such as machine learning and deep learning, to data obtained from RNA in sebum.
In this initiative, PFN will utilize the information obtained from Kao's sebum RNA monitoring technology to develop a highly sophisticated prediction algorithm based on machine learning and deep learning technologies. This will enable a better understanding of the internal conditions of the user’s skin, and also assess future risks of skin damage.
Further, the project will pave the way for improvements in and preventive measures for skin conditions by providing personalized beauty or skin care advice based on genetic information. Some of these features are slated to begin in 2020 on a trial basis, with further improvements implemented based on user feedback.
In addition, Kao and PFN plan to conduct joint research for improving early diagnoses of intractable diseases, including Parkinson's disease, which has been increasing amid the aging society.
"Kao is aiming to provide a practical method to accurately monitor biological information by applying our sebum RNA monitoring technology,” explained Michitaka Sawada, president and CEO of Kao. “To achieve this goal, we have high expectations that collaborating with PFN will greatly improve the accuracy and speed, thanks to PFN's considerable experience [using] AI technologies in the bio-health care field.”
Sawada added, “Kao is focusing on social innovations that contribute to improved QOL (quality of life) under an ESG- (environmental, social and governance) driven management strategy.”
Toru Nishikawa, president and CEO of PFN, explained, "By combining PFN's machine learning and deep learning technologies and accumulated know-how in RNA analysis with Kao's research achievements in dermatology, productization expertise and marketing capabilities, we expect to accelerate practical applications of products and services that utilize PFN's technologies."