A machine learning model for frailty based on wearable device measurements.

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Title: A machine learning model for frailty based on wearable device measurements.
Authors: Culos A; Department of Computer Science, Columbia University, New York, NY, USA., Manas A; GENUD Toledo Research Group, Faculty of Sports Sciences, Universidad de Castilla-La Mancha, Toledo, Spain.; CIBER on Frailty and Healthy Aging,, CIBERFES, Instituto de Salud Carlos III, Madrid, Spain.; Faculty of Education, Psychology and Sport Sciences, University of Huelva, Huelva, Spain., Shidara K; Department of Anesthesiology, Pain, and Perioperative Medicine, Stanford School of Medicine, Palo Alto, CA, USA., Fallazadeh R; Department of Anesthesiology, Pain, and Perioperative Medicine, Stanford School of Medicine, Palo Alto, CA, USA.; Department of Biomedical Data Sciences, Stanford University, Palo Alto, CA, USA.; Department of Pediatrics, Stanford School of Medicine, Stanford School of Medicine, Palo Alto, CA, USA., Garcia-Garcia FJ; CIBER on Frailty and Healthy Aging,, CIBERFES, Instituto de Salud Carlos III, Madrid, Spain.; Department of Geriatrics, Hospital Vigen Del Valle, Toledo, Spain., Losa-Reyna J; GENUD Toledo Research Group, Faculty of Sports Sciences, Universidad de Castilla-La Mancha, Toledo, Spain.; CIBER on Frailty and Healthy Aging,, CIBERFES, Instituto de Salud Carlos III, Madrid, Spain.; Department of Geriatrics, Hospital Vigen Del Valle, Toledo, Spain., Alegre LM; GENUD Toledo Research Group, Faculty of Sports Sciences, Universidad de Castilla-La Mancha, Toledo, Spain.; CIBER on Frailty and Healthy Aging,, CIBERFES, Instituto de Salud Carlos III, Madrid, Spain.; Instituto de Investigación Sanitaria de Castilla-La Mancha (IDISCAM), Junta de Comunidades de Castilla-La Mancha (JCCM), Toledo, Spain., Rodriguez-Manas L; CIBER on Frailty and Healthy Aging,, CIBERFES, Instituto de Salud Carlos III, Madrid, Spain.; Department of Geriatrics, Hospital Universitario de Getafe, Getafe, Spain., Chang AL; Department of Anesthesiology, Pain, and Perioperative Medicine, Stanford School of Medicine, Palo Alto, CA, USA.; Department of Biomedical Data Sciences, Stanford University, Palo Alto, CA, USA.; Department of Pediatrics, Stanford School of Medicine, Stanford School of Medicine, Palo Alto, CA, USA., Espinosa C; Department of Anesthesiology, Pain, and Perioperative Medicine, Stanford School of Medicine, Palo Alto, CA, USA.; Department of Biomedical Data Sciences, Stanford University, Palo Alto, CA, USA.; Department of Pediatrics, Stanford School of Medicine, Stanford School of Medicine, Palo Alto, CA, USA., De Francesco D; Department of Anesthesiology, Pain, and Perioperative Medicine, Stanford School of Medicine, Palo Alto, CA, USA.; Department of Biomedical Data Sciences, Stanford University, Palo Alto, CA, USA.; Department of Pediatrics, Stanford School of Medicine, Stanford School of Medicine, Palo Alto, CA, USA., Phongpreecha T; Department of Anesthesiology, Pain, and Perioperative Medicine, Stanford School of Medicine, Palo Alto, CA, USA.; Department of Biomedical Data Sciences, Stanford University, Palo Alto, CA, USA.; Department of Pediatrics, Stanford School of Medicine, Stanford School of Medicine, Palo Alto, CA, USA., Becker M; Department of Anesthesiology, Pain, and Perioperative Medicine, Stanford School of Medicine, Palo Alto, CA, USA.; Department of Biomedical Data Sciences, Stanford University, Palo Alto, CA, USA.; Department of Pediatrics, Stanford School of Medicine, Stanford School of Medicine, Palo Alto, CA, USA., Xenochristou M; Department of Anesthesiology, Pain, and Perioperative Medicine, Stanford School of Medicine, Palo Alto, CA, USA.; Department of Biomedical Data Sciences, Stanford University, Palo Alto, CA, USA.; Department of Pediatrics, Stanford School of Medicine, Stanford School of Medicine, Palo Alto, CA, USA., Ravindra NG; Department of Anesthesiology, Pain, and Perioperative Medicine, Stanford School of Medicine, Palo Alto, CA, USA.; Department of Biomedical Data Sciences, Stanford University, Palo Alto, CA, USA.; Department of Pediatrics, Stanford School of Medicine, Stanford School of Medicine, Palo Alto, CA, USA., Gaudilliere B; Department of Anesthesiology, Pain, and Perioperative Medicine, Stanford School of Medicine, Palo Alto, CA, USA., Angst MS; Department of Anesthesiology, Pain, and Perioperative Medicine, Stanford School of Medicine, Palo Alto, CA, USA., Ara I; GENUD Toledo Research Group, Faculty of Sports Sciences, Universidad de Castilla-La Mancha, Toledo, Spain.; CIBER on Frailty and Healthy Aging,, CIBERFES, Instituto de Salud Carlos III, Madrid, Spain.; Instituto de Investigación Sanitaria de Castilla-La Mancha (IDISCAM), Junta de Comunidades de Castilla-La Mancha (JCCM), Toledo, Spain., Aghaeepour N; Department of Anesthesiology, Pain, and Perioperative Medicine, Stanford School of Medicine, Palo Alto, CA, USA. naghaeep@stanford.edu.; Department of Biomedical Data Sciences, Stanford University, Palo Alto, CA, USA. naghaeep@stanford.edu.; Department of Pediatrics, Stanford School of Medicine, Stanford School of Medicine, Palo Alto, CA, USA. naghaeep@stanford.edu.
Source: Communications medicine [Commun Med (Lond)] 2026 Feb 19; Vol. 6 (1). Date of Electronic Publication: 2026 Feb 19.
Publication Type: Journal Article
Journal Info: Publisher: Nature Portfolio Country of Publication: England NLM ID: 9918250414506676 Publication Model: Electronic Cited Medium: Internet ISSN: 2730-664X (Electronic) Linking ISSN: 2730664X NLM ISO Abbreviation: Commun Med (Lond) Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2730-664X
DOI:10.1038/s43856-026-01419-7