Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
June 21, 2026IEEE Journal of Biomedical and Health Informatics

Integrating chronological aging and asynchronous aging for enhanced biological age prediction using artificial intelligence model

View Full Paper
Ask AI
Bookmark
Share

Authors

QTQingfeng TangShanghai University of Traditional Chinese MedicinePDPengcheng DingShanghai University of Traditional Chinese MedicineWBWANG BaoqianAnqing Normal University

Discussion

Loading...

Member takes

Implication

Randomized trial demonstrates enhanced biological age estimation, suggesting better predictive methods for health assessments.

Key Points

  • The research aims to enhance biological age prediction by integrating chronological age with asynchronous aging measures.
  • Developed a unified artificial intelligence framework combining chronological age and asynchronous aging index for biological age prediction.
  • Defined the asynchronous aging index based on deviations from a healthy reference population.
  • Applied the framework to arterial stiffness data from over 36,000 individuals to improve predictive accuracy.
  • AAI-score reduced mean absolute error in males from 7.01-7.28 years to 2.99-3.69 years and in females from 5.83-6.09 years to 3.51-4.05 years.
  • The area under the curve for health risk classification improved from 0.34-0.68 to 0.66-0.89 in males and from 0.28-0.50 to 0.60-0.90 in females.

Cite This Study

Tang et al. (2026) studied this question.

synapsesocial.com/papers/6a377f3a24f042ddf4c59e67https://doi.org/10.1109/jbhi.2026.3705441
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Artificial intelligence approaches in biological age prediction: current status and challenges2026
  2. 2Both chronological age and individual differences in aging are the two indispensable components for predicting biological age2026
  3. 3Imaging-derived biological age across multiple organs links to mortality and aging-related health outcomes2026 · 5 citations
  4. 4From ageing clocks to human digital twins in personalising healthcare through biological age analysis2025 · 7 citations
  5. 5A machine learning–based biological aging prediction and its associations with healthy lifestyles: the Dongfeng–Tongji cohort2021 · 36 citations