用分子动态建模生物年龄，预测衰老轨迹并发现更健康的老化路径
Molecule-dynamic-based Aging Clock and Aging Roadmap Forecast with Sundial
- 基于扩散场建模分子动态，捕捉群体与个体的衰老规律
- 相比传统方法，该模型识别出的快老化个体疾病风险更高
- 适用于研究性别差异、健康老化等前沿衰老问题
为解决监督式衰老时钟固有的偏差问题，我们提出Sundial框架，通过扩散场建模分子动态，同时捕捉人群层面的衰老过程与个体间的相对衰老顺序。Sundial实现了生物年龄的无偏估计，并可预测衰老路线图。相较于传统监督式时钟识别的快老化个体，本模型识别出的快老化者具有更高的疾病风险。该框架为探索年龄与性别特异性衰老动态、健康快速老化路径等关键课题开辟了新方向。
原文摘要 · Abstract (English)
Addressing the unavoidable bias inherent in supervised aging clocks, we introduce Sundial, a novel framework that models molecular dynamics through a diffusion field, capturing both the population-level aging process and the individual-level relative aging order. Sundial enables unbiasedestimation of biological age and the forecast of aging roadmap. Fasteraging individuals from Sundial exhibit a higher disease risk compared to those identified from supervised aging clocks. This framework opens new avenues for exploring key topics, including age- and sex-specific aging dynamics and faster yet healthy aging paths.
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