This study used expert assessment, consumer perception, and noninvasive measurements of skin physiological parameters to develop a mathematical model for characterizing facial skin laxity in Chinese females, providing the scientific basis for personalized beauty and skin-firming strategies. The study involved 64 Chinese females (18–60 years) whose facial regions were imaged using VISIA-CR. Five experts assessed facial skin laxity using VISIA-CR images, while 72 consumers compared paired images to identify higher laxity. Noninvasive measurements of skin elasticity and other parameters were taken. The data were analyzed using Bradley-Terry analysis and support vector machine regression modeling. Consistent with expectations, facial skin laxity was negatively correlated with skin elasticity R2 values and positively correlated with skin elasticity F4 values. A novel Facial Skin Laxity Index (FSLI) was introduced to evaluate product efficacy in reducing laxity. Facial skin laxity can be characterized and quantified using a combination of expert assessments, consumer perceptions, and noninvasive measurements. The FSLI enables precise evaluation of product performance in improving facial skin laxity.

This study comprehensively integrated expert assessment with measurements of hair parameters to investigate the voluminous hair greasiness content for maintaining voluminous hair in Chinese women with different hair texture types, aiming to provide preliminary reference for subsequent research on personalized hair care. The study cohort comprised 128 Chinese females aged 18 to 60 years. Frontal and posterior images of the participants were captured using a digital camera. Three expert assessors evaluated hair volume based on the images. Concurrently, measurements were conducted for hair greasiness content, hair area, flyaway hair area, crown height, and crown angle. A novel Hair Volume Index (HVI) is proposed, and a corresponding machine learning-driven automated calculation model is constructed to achieve objective quantitative evaluation of hair image. Furthermore, ROC curve analysis was used for exploratory assessment of the voluminous hair greasiness content across different hair texture types.

Background: Skin glycation, oxidation, carbonylation, and excessive inflammation are well‐recognized factors contributing to skin aging and pigmentation. Previous in vitro studies have confirmed vitamin C's antioxidant, anti‐glycation, and anti‐inflammatory properties, but its in vivo effects remain to be further verified. Aims: To investigate the in vivo effects of topical vitamin C serum on skin anti‐glycation, anti‐carbonylation, antioxidation, and anti‐inflammation, and to provide evidence for its anti‐aging and skin‐brightening applications. Patients/Methods: A randomized, double‐blind, controlled trial was conducted, enrolling 66 healthy Chinese females, with 31 in the blank group and 35 in the topical group. Participants applied 10% vitamin C serum for 12 weeks. Skin glycation, carbonylated protein content, interleukin‐1α (IL‐1α) levels, free radical scavenging capacity, and skin color parameters were evaluated before and after treatment. Results: After 12 weeks, the topical group showed significant improvements: AGEs reduced by 17.65%, carbonylation fluorescence intensity decreased by 49.22%, IL‐1α content dropped by 58.73%, and ABTS free radical scavenging rate increased by 12.14%. Skin yellowness (b* value) and redness (a* value) decreased by 6.13% and 16.46%, respectively (all p < 0.001). Conclusions: Topical 10% vitamin C serum can effectively mitigate skin glycation, carbonylation, and inflammation, enhance skin antioxidant capacity, and improve skin color, supporting its clinical value in anti‐aging and skin‐brightening.