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

Applications of AI (1065) mHealth for Wellness, Behavior Change and Prevention (4309) Prevention and Health Promotion (2302) Obesity and Nutrition as Public Health Problem (600) Fitness Trackers and Smart Pedometers/Accelerometers (805) Physical Activity for Older People (495) Innovations and Technology for Physical Activity Education (1076) Digital Biomarkers and Digital Phenotyping (467)

Published on in Vol 5 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/95123, first published .
Two smiling women in athletic wear enjoying an outdoor conversation

AI-Powered Framework for Personalized Prescription of Physical Activity in Aging: Proposing PEPHA, a framework for Personalized Phenotyping for Aging

AI-Powered Framework for Personalized Prescription of Physical Activity in Aging: Proposing PEPHA, a framework for Personalized Phenotyping for Aging

Authors of this article:

Igor Matias1, 2, 3 Author Orcid Image ;   Melanie Mack2, 3 Author Orcid Image ;   Matthias Kliegel2, 3 Author Orcid Image ;   Katarzyna Wac1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Igor Matias   1, 2, 3 , MSci ;   Melanie Mack   2, 3 , PhD ;   Matthias Kliegel   2, 3 , PhD ;   Katarzyna Wac   1 , PhD

1 Quality of Life Technologies Lab, University of Geneva, Carouge, Geneva, Switzerland

2 Cognitive Aging Lab, University of Geneva, Geneva, Switzerland

3 Center for the Interdisciplinary Study of Gerontology and Vulnerabiity, University of Geneva, Geneva, Switzerland

Corresponding Author:

  • Igor Matias, MSci
  • Quality of Life Technologies Lab, University of Geneva
  • Route de Drize 7, Battelle A
  • Carouge, Geneva 1227
  • Switzerland
  • Phone: 41 223790234
  • Email: igor.matias@unige.ch