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2000
Volume 22, Issue 1
  • ISSN: 1875-6921
  • E-ISSN: 1875-6913

Abstract

The introduction of artificial intelligence (AI) into dermatology has transformed customized skincare by using data-driven insights to improve treatment efficacy and accuracy. This study investigates the effects of artificial intelligence-enhanced skincare on skin microbiome diversity and pharmacogenomic accuracy, with a focus on its transformational potential in dermatological applications. The skin microbiome, an important regulator of skin health, varies greatly across people and impacts disorders including acne, eczema, and rosacea. AI-powered study of microbiome composition enables the development of customized skincare solutions that restore microbial equilibrium, improving treatment outcomes. Furthermore, pharmacogenomics—the study of genetic differences impacting medicine and skincare component responses—enables highly personalised skincare treatments that reduce side effects while increasing therapeutic benefits. AI-powered tools, such as machine learning algorithms and deep learning models, provide real-time skin evaluations, allowing for ongoing improvement of skincare regimens based on dynamic biological and environmental elements. Furthermore, AI accelerates the creation of smart biomaterials that optimise component penetration and bioavailability, hence increasing precision dermatology. Personalized skincare solutions may be tailored to an individual's unique skin profile by combining genetic insights, microbiome research, and AI-powered predictive modeling, resulting in higher treatment success. While AI-enhanced dermatology has enormous promise, issues like as data privacy, algorithm bias, and legal barriers must be addressed in order to assure ethical and successful deployment. This paper emphasizes the potential of AI in dermatology, proposing a collaborative strategy combining AI, microbiome research, and pharmacogenomics to transform customized skincare.

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2025-01-01
2025-09-02

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/content/journals/cppm/10.2174/0118756921368686250621143748
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AI-enhanced Personalized Skincare: Implications for Skin Microbiome Diversity and Pharmacogenomics Precision in Dermatology
Curr. Pharm. and. Per. Med. 22, E18756921368686 (2025); https://doi.org/10.2174/0118756921368686250621143748
/content/journals/cppm/10.2174/0118756921368686250621143748
/content/journals/cppm/10.2174/0118756921368686250621143748
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  • Article Type:     Review Article
Keyword(s): AI algorithms in cosmetics; AI-driven personalized cosmetics; microbiome health; microbiome-targeted skincare; personalized skincare; skin microbiome diversity

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