资生堂：助力化妆品行业向生物降解材料转型

Core Viewpoint - Shiseido has developed two AI-based technologies aimed at enhancing sustainability in the cosmetics industry, focusing on biodegradability assessment and safety information identification of cosmetic ingredients [2]. Group 1: AI for Biodegradability Assessment - Shiseido prioritizes environmental impact in its core R&D strategy, "Sustainable Innovation: Creating Circular Value," by developing an AI method to predict the biodegradability of cosmetic ingredients [4]. - The AI model, based on the AI-Quantitative Structure-Activity Relationship (AI-QSAR) model, utilizes chemical structures and degradation processes as training data, allowing for high-precision predictions of whether ingredients can decompose into natural substances like water and carbon dioxide [4]. - This AI-QSAR model significantly reduces the evaluation time from 1-2 months to real-time results, enabling faster assessments without the need for extensive expert experience or numerous experiments [4]. Group 2: Safety Information Identification System - Shiseido has over 60 years of experience in safety assessment methods and has integrated AI into its safety evaluation processes since 2003 [6]. - The safety assessment process involves three stages: reviewing existing information, conducting toxicity tests, and final confirmation through human testing [6]. - The newly developed system enhances the accuracy of identifying safety-related information of cosmetic ingredients, allowing for quicker extraction of key evaluation data and reducing biases, thus facilitating better resource allocation for new research and talent development [7]. - This advancement enables previously unused ingredients due to information scarcity to be utilized, paving the way for future innovations in cosmetics [7].