AI-Personalized Skincare Regimen for Facial Photoaging in Women

The goal of this clinical study was to learn whether a skincare regimen personalized by an artificial intelligence (AI) skin-analysis tool improves signs of facial skin aging in women aged 35 to 65 with mild-to-moderate facial photoaging. The main questions it aimed to answer were: Does the personalized regimen improve fine lines, wrinkles, firmness, smoothness, tone and other signs of skin aging after 4 and 12 weeks of use? Is the regimen well tolerated? Participants completed an online skin questionnaire and uploaded a facial selfie, and the AI tool assigned one of three night creams. Each participant then used a personalized kit at home for 12 weeks: a vitamin C serum and SPF 30 sunscreen in the morning; the assigned night cream (0.3% retinol, 0.6% retinol, or bakuchiol, each with a triple-peptide complex), an eye cream, and a dark spot remover in the evening; and a daily oral marine collagen supplement. Participants visited the clinic at baseline, week 4 and week 12 for expert skin grading, skin measurements, photographs and questionnaires.

Inclusion Criteria: \- Inclusion Criteria: * Female, aged 35 to 65 years * Fitzpatrick skin phototype II to VI * Mild-to-moderate facial photoaging * Willing to complete a 2-week washout from anti-aging products before baseline * Able to provide written informed consent Exclusion Criteria: * Active facial dermatoses * Use of prescription retinoids within 6 months before enrollment * Cosmetic facial procedures within 3 months (injectables within 12 months) before enrollment * Known allergy to any study product ingredient Exclusion Criteria: \-