Artificial Intelligence Beauty Revolution—State of the Art and New Trends from the SCC78 Annual Meeting

The 78th Annual Society of Cosmetic Chemists (SCC) Scientific Meeting showcased the pivotal role of artificial intelligence (AI) in transforming the beauty and personal care industry. The session “AI Beauty Revolution” highlighted cutting-edge advancements, including AI-driven ingredient discovery, personalized product development, and sustainable practices. Key presentations explored applications such as computational tools for product benchmarking, precision prebiotics for microbiome modulation, and physics-based modeling combined with machine learning for antioxidant screening. The discussions emphasized the importance of combining AI insights with experimental validation to ensure accuracy and reliability while fostering innovation. As AI continues to drive personalization, efficiency, and sustainability in cosmetics, collaborative efforts across disciplines will remain crucial for realizing its full potential.

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Publication Details

Journal
Cosmetics
Published
2025-04-09
DOI
https://doi.org/10.3390/cosmetics12020073
Citations
4
Primary Topic
Digital Media and Visual Art
Type
article
Field-Weighted Citation Impact
14.16
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article

Artificial Intelligence Beauty Revolution—State of the Art and New Trends from the SCC78 Annual Meeting

Hang Ma, Angela R. Eppler
4 citations
Cosmetics
Digital Media and Visual Art
14.16
article

Artificial Intelligence Beauty Revolution—State of the Art and New Trends from the SCC78 Annual Meeting

Hang Ma, Angela R. Eppler
article en
4 citations

Abstract

The 78th Annual Society of Cosmetic Chemists (SCC) Scientific Meeting showcased the pivotal role of artificial intelligence (AI) in transforming the beauty and personal care industry. The session “AI Beauty Revolution” highlighted cutting-edge advancements, including AI-driven ingredient discovery, personalized product development, and sustainable practices. Key presentations explored applications such as computational tools for product benchmarking, precision prebiotics for microbiome modulation, and physics-based modeling combined with machine learning for antioxidant screening. The discussions emphasized the importance of combining AI insights with experimental validation to ensure accuracy and reliability while fostering innovation. As AI continues to drive personalization, efficiency, and sustainability in cosmetics, collaborative efforts across disciplines will remain crucial for realizing its full potential.

CosmeticsVol. 12(2)
University of Rhode Island (US)
Openalex Percentile: Top 1%
Digital Media and Visual Art
14.16
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