Deep Longevity, Inc, Three Exchange Square, The Landmark, Hong Kong, China.
Insilico Medicine, Hong Kong Science and Technology Park (HKSTP), Hong Kong, China.
Aging (Albany NY). 2020 Dec 8;12(23):23548-23577. doi: 10.18632/aging.202344.
Aging clocks that accurately predict human age based on various biodata types are among the most important recent advances in biogerontology. Since 2016 multiple deep learning solutions have been created to interpret facial photos, omics data, and clinical blood parameters in the context of aging. Some of them have been patented to be used in commercial settings. However, psychological changes occurring throughout the human lifespan have been overlooked in the field of "deep aging clocks". In this paper, we present two deep learning predictors trained on social and behavioral data from Midlife in the United States (MIDUS) study: (a) PsychoAge, which predicts chronological age, and (b) SubjAge, which describes personal aging rate perception. Using 50 distinct features from the MIDUS dataset these models have achieved a mean absolute error of 6.7 years for chronological age and 7.3 years for subjective age. We also show that both PsychoAge and SubjAge are predictive of all-cause mortality risk, with SubjAge being a more significant risk factor. Both clocks contain actionable features that can be modified using social and behavioral interventions, which enables a variety of aging-related psychology experiment designs. The features used in these clocks are interpretable by human experts and may prove to be useful in shifting personal perception of aging towards a mindset that promotes productive and healthy behaviors.
基于各种生物数据类型准确预测人类年龄的衰老时钟是生物老年学领域最近最重要的进展之一。自 2016 年以来，已经创建了多种深度学习解决方案来解释面部照片、组学数据和临床血液参数在衰老背景下的意义。其中一些已经获得专利，可以在商业环境中使用。然而，在“深度衰老时钟”领域，人类整个生命周期中发生的心理变化被忽视了。在本文中，我们提出了两个基于美国中年生活研究（MIDUS）中社交和行为数据训练的深度学习预测器：（a）PsychoAge，它可以预测实际年龄；（b）SubjAge，它描述了个人的衰老速度感知。这两个模型使用 MIDUS 数据集的 50 个独特特征，实现了对实际年龄的平均绝对误差为 6.7 年，对主观年龄的平均绝对误差为 7.3 年。我们还表明，PsychoAge 和 SubjAge 都可以预测全因死亡率风险，而 SubjAge 是一个更重要的风险因素。这两个时钟都包含可通过社交和行为干预进行修改的可操作特征，这使得各种与衰老相关的心理学实验设计成为可能。这些时钟使用的特征可以由人类专家进行解释，并且可能有助于将个人对衰老的认知转变为促进富有成效和健康行为的心态。
