Published on in Vol 5, No 2 (2022): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35696, first published .
A Model for Estimating Biological Age From Physiological Biomarkers of Healthy Aging: Cross-sectional Study

A Model for Estimating Biological Age From Physiological Biomarkers of Healthy Aging: Cross-sectional Study

A Model for Estimating Biological Age From Physiological Biomarkers of Healthy Aging: Cross-sectional Study

Journals

  1. Bentlage E, Nyamadi J, Dubbeldam R. The Importance of Activating Factors in Physical Activity Interventions for Older Adults Using Information and Communication Technologies: Systematic Review. JMIR mHealth and uHealth 2023;11:e42968 View
  2. Coradduzza D, Sedda S, Cruciani S, De Miglio M, Ventura C, Nivoli A, Maioli M. Age-Related Cognitive Decline, Focus on Microbiome: A Systematic Review and Meta-Analysis. International Journal of Molecular Sciences 2023;24(18):13680 View
  3. Warner B, Ratner E, Datta A, Lendasse A. A systematic review of phenotypic and epigenetic clocks used for aging and mortality quantification in humans. Aging 2024;16(17):12414 View
  4. Yoon D, Kim J, Lee S. A study on the development of a fitness age prediction model: the national fitness award cohort study 2017–2021. BMC Public Health 2024;24(1) View