在多民族人群中开发一种新的面部年龄评估模型,用于评估局部抗衰老产品
Denise DiCanio1, Edward Ted Lain2, James Del Rosso3
1Drs. DiCanio, Kerns, and Saliou, and Ms. Fennessy are with The Estée Lauder Companies, Research and Development, in Melville, New York.
The Journal of clinical and aesthetic dermatology
|December 25, 2025
概括
一个新的算法计算了女性的面部年龄,使用7个关键的衰老标志物,独立于种族和皮肤类型. 这种方法提供了一个客观的方式来评估抗衰老产品的有效性.
科学领域:
- 皮肤病学 皮肤病学
- 计算生物学 计算生物学
- 审美学 在审美学方面
背景情况:
- 面部老化受到许多因素的影响,包括遗传,环境和皮肤类型.
- 准确评估面部衰老对于评估化品干预至关重要.
- 现有的方法可能无法考虑不同人群的普遍衰老参数.
研究的目的:
- 开发和验证用于计算女性面部年龄的计算算法.
- 为了确定独立于种族和菲茨帕特里克皮肤类型的普遍面部衰老参数.
- 为评估抗衰老产品疗效提供一个客观的工具.
主要方法:
- 分析了2825张来自4个种族和所有菲茨帕特里克皮肤类型 (I-VI) 的女性的数字面部图像.
- 在0-10光度数尺度上对15个面部衰老标志物的评分.
- 最小平方线性复数回归用于识别独立的衰老参数并开发预测算法.
主要成果:
- 七个关键参数 (鼻皮,眼线下,长毛孔,额头线,眼睛下胀,皮肤色调不均,木偶) 解释了71%的年龄变化.
- 这些参数的严重程度随着年龄的增长而增加,额头和木偶线每十年表现出最显著的变化.
- 该算法证明独立于种族和菲茨帕特里克皮肤类型.
结论:
- 开发了一种用于面部年龄估计的新型计算算法.
- 该算法利用了7个关键的面部衰老参数.
- 这种工具可以作为一个客观的措施来评估局部抗衰老治疗的有效性.
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