TAGS: Skin Care
Kao Corporation and Preferred Networks, Inc. have launched a collaborative project, "Kao X PFN Sebum RNA Project" with the objective to develop a beauty counseling service committed to skin conditions by applying AI technologies to data obtained from RNA in sebum.
To Assess and Improve Skin Condition
In this initiative, Preferred Networks will utilize the information obtained from Kao's sebum RNA monitoring technology to develop a highly sophisticated prediction algorithm based on Preferred Networks's AI technologies, such as machine learning and deep learning technologies. This will enable a better understanding of the internal conditions of the skin, and also assess future risks of skin damage.
Further, this will pave the way for improvement and preventive measures of skin conditions by providing personalized beauty advice or skin care, 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.
Kao's Sebum RNA Monitoring Technology
Sebum RNA monitoring technology is used to isolate RNA, which reflects day-to-day changes in conditions inside the body, from sebum, and analyze it.
Kao will collect approximately 13,000 types of RNA per person, measure RNA expression levels, through Kao's sebum RNA monitoring technology. In addition, Kao will obtain data concerning skin and other health conditions.
"
Kao is aiming to provide a practical method to accurately monitor biological information by applying our sebum RNA monitoring technology,” commented Michitaka Sawada, President and CEO, Kao Corporation.
“
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 with the utilization of AI technologies in the bio-healthcare field. Kao is focusing on social innovations that contribute to improved QOL under an ESG-driven management strategy. This project is part of that initiative, and we will contribute to the future society in collaboration with PFN."
Preferred Networks to Apply AI Technologies
Preferred Networks will apply machine learning and deep learning technologies to train and build a prediction model using the sebum RNA expression and other data that can infer the skin conditions and biologic factors within the body.
"
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," said Toru Nishikawa, President and CEO, Preferred Networks , Inc.
Source: Kao