Applications of artificial intelligence and machine learning on critical materials used in cosmetics and personal care formulation design

Abstract

The applications of artificial intelligence (AI) and machine learning (ML) approaches are rising in formula optimization, ingredient selection, performance prediction, and structure-properties analysis in formulated product development for the cosmetic industry. The present review aims to give a critical discussion regarding how AI and ML assist in the development of key component materials used in cosmetics and formulated products including surfactants, polymers, fragrances, preservatives, and hydrogels. Hydrogels are reviewed here as a promising candidate to open a new frontier for the future cosmetics and personal care product industry, due to their excellent biocompatibility, excellent drug-delivering ability, and high water content. We also discuss the use of ML for formula optimization and hazardous ingredient detection such as sensitizing and allergic components. All the research publications reviewed in the present work are accomplished in the past 4 years to reflect the current research trends and progress in ML-assisted advancement in cosmetics and personal care product development.