2 citations
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December 2024 in “Journal of Cosmetic Dermatology” In this study, the integration of AI-driven SNP profiling and epigenetic insights in cosmetic dermatology was highlighted as a key development toward personalized skincare, potentially improving treatment effectiveness and reducing side effects.
December 2025 in “Pharmaceutics” This review highlights new perspectives in genomics and epigenomics for skin rejuvenation, comparing innovative strategies like senolytics and DNA repair modulators with classical treatments, and emphasizing the importance of tailoring therapies using individual genomic profiles for personalized anti-ageing approaches.
5 citations
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March 2022 in “Clinical Cosmetic and Investigational Dermatology” This study proposed a model that accurately predicts skin condition using genotype information and machine learning, suggesting potential for creating customized cosmetics.
April 2026 in “Aesthetic Cosmetology and Medicine” This literature review examines current anti-aging therapies, focusing on innovative genetic cosmeceuticals enhanced by nanotechnology, which offer targeted and minimally invasive treatment options by effectively delivering anti-ageing genetic elements to skin cells and potentially improving skin health through reduced oxidative stress.
July 2024 in “Journal of Investigative Dermatology” Bioengineered skin models aging well, useful for studying aging and testing treatments.