Cosmetogenomics unveiled: a systematic review of AI, genomics, and the future of personalized skincare

作者：Diala Haykal, Frédéric Flament, David Amar, Hugues Cartier, Arianne Shadi Kourosh, Dong Hun Lee, Christopher Rowland‐Payne · 发表于：Frontiers in Artificial Intelligence · 年份：2025 · DOI：10.3389/frai.2025.1660356 · 被引用次数：3 · 研究领域：Skin Protection and Aging、Cutaneous Melanoma Detection and Management、Dermatology and Skin Diseases

Introduction: The integration of genomics, proteomics, and artificial intelligence (AI) is shaping the approach to personalized skincare and aesthetic dermatology, moving from generalized protocols toward precision-based interventions. Objective: To systematically review the emerging field of cosmetogenomics, focusing on how AI and multi-omics technologies are enabling personalized dermatologic treatments, and to critically evaluate the strength, scope, and limitations of current evidence. Methods: We conducted a systematic review in accordance with PRISMA 2020 guidelines. PubMed, Scopus, and Embase databases were searched for articles from January 2012 to April 2025 using Boolean combinations of terms including ["cosmetogenomics" OR "AI in dermatology" OR "personalized skincare" OR "multi-omics dermatology"] AND ["SNP" OR "genomics" OR "proteomics"]. Eligible studies included peer-reviewed clinical or ex vivo research involving human subjects and reporting measurable dermatologic outcomes related to genomics, single nucleotide polymorphisms (SNPs), AI tools, or proteomics. Study quality was assessed using the JAMA Users' Guides to the Medical Literature quality scheme. Results: From 403 screened articles, 74 met inclusion criteria. Of these, 22 were randomized controlled trials (RCTs, Level I evidence), 35 observational studies (Level II), and 17 conceptual or expert opinion papers (Level III). AI and genomics were found to enhance skincare personalization by identifying SNP...