Published on in Vol 8 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/64473, first published .
Artificial Intelligence-Driven Biological Age Prediction Model Using Comprehensive Health Checkup Data: Development and Validation Study

Artificial Intelligence-Driven Biological Age Prediction Model Using Comprehensive Health Checkup Data: Development and Validation Study

Artificial Intelligence-Driven Biological Age Prediction Model Using Comprehensive Health Checkup Data: Development and Validation Study

Journals

  1. You G, Wang K, Shen R, Chen X, Jiang J, Sun Y, Wu D, Xu J, Huang K, Yao C. Metabolomic aging clock predicts risk of different cardiovascular diseases in the UK Biobank. Metabolism 2026;176:156467 View
  2. Anagnostopoulos T, Zervoudi E, Anagnostopoulos C, Christopoulos A, Wierzbinski B. An arithmetic method algorithm optimizing k-nearest neighbors compared to regression algorithms and evaluated on real world data sources. Scientific Reports 2026;16(1) View
  3. Rivera-García G, Ramírez-Vázquez J, Cruz-Casados J, Cervantes-López M, LLanes-Castillo A, Diaz-Martinez M. Smart Kiosk for Nutritional Management of People With Diabetes in Underserved Communities: Development and Technical Evaluation. JMIR Formative Research 2026;10:e76936 View

Conference Proceedings

  1. Mohanraj B, Thaqneem.G F, U.S H, Harshini.S , Dineshkumar P, M.Priya . 2025 5th International Conference on Evolutionary Computing and Mobile Sustainable Networks (ICECMSN). MAHPA: ViT-Driven Multisensory Platform for Inclusive Indian Heritage Access View