This paper is in the following e-collection/theme issue:

Big Data Analytics for Elder Care (20) Registered Report (528) Tools, Programs and Algorithms (245) Participatory Medicine & E-Patients (758) Digital Biomarkers and Digital Phenotyping (178) Aging with Chronic Disease (74) Epidemiologic Studies and Surveys in Elder Care (8) Bioinformatics Methods and Algorithms (12) Information and Patient Education on Healthy Aging (22)

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

Authors of this article:

Karina Louise Skov Husted1, 2 Author Orcid Image ;   Andreas Brink-Kjær3 Author Orcid Image ;   Mathilde Fogelstrøm1 Author Orcid Image ;   Pernille Hulst1 Author Orcid Image ;   Akita Bleibach1 Author Orcid Image ;   Kaj-Åge Henneberg4 Author Orcid Image ;   Helge Bjarup Dissing Sørensen3 Author Orcid Image ;   Flemming Dela1, 5 Author Orcid Image ;   Jens Christian Brings Jacobsen6 Author Orcid Image ;   Jørn Wulff Helge1 Author Orcid Image
Article Authors Cited by (3) Tweetations (2) Metrics

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