English

Molecule-dynamic-based Aging Clock and Aging Roadmap Forecast with Sundial

Quantitative Methods 2025-01-07 v1 Machine Learning

Abstract

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.

Cite

@article{arxiv.2501.02176,
  title  = {Molecule-dynamic-based Aging Clock and Aging Roadmap Forecast with Sundial},
  author = {Wei Wu and Zizhen Deng and Chi Zhang and Can Liao and Jinzhuo Wang},
  journal= {arXiv preprint arXiv:2501.02176},
  year   = {2025}
}
R2 v1 2026-06-28T20:56:01.279Z