Personalized skincare research still needs stronger validation
A review of genetics, protein research and artificial intelligence describes routes to personalization, with limited evidence for dependable clinical benefit.
Based on the published abstract. The full paper may contain additional methods, results and limitations.
The 30-second takeaway
The review explores how genetic information, protein measurements and artificial intelligence might guide skincare and aesthetic treatments. It describes ways to identify relevant biological patterns and combine them with imaging or lifestyle information. However, it reports no pooled treatment benefit, and the authors call for stronger validation before these approaches are widely integrated into practice.
Many studies were exploratory, geographic diversity was limited, and darker skin types were underrepresented. The included literature also contained conceptual and expert-opinion papers, despite eligibility language focused on clinical or ex vivo research.
What personalization meant here
The review describes genetic variants associated with collagen breakdown, oxidative stress and inflammation. Artificial-intelligence platforms combine such information with other data to inform treatment choices; identifying an association does not itself establish that a personalized treatment improves outcomes.
Why broad claims remain premature
Differences in measured outcomes prevented a quantitative synthesis. The authors also identify questions about validation, transparent methods and genetic-data protections, so the abstract offers a map of an emerging field rather than a reliable estimate of treatment effects.
The original publication
Cosmetogenomics unveiled: a systematic review of AI, genomics, and the future of personalized skincare.
Haykal D, Flament F, Amar D et al.
Front Artif Intell · 2025
- PubMed ID
- 41293572
- Record checked
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