Machine learning derived abdominal aortic calcification is associated with physical frailty in community-dwelling adults: the UK Biobank Imaging Study.

Saved in:
Bibliographic Details
Title: Machine learning derived abdominal aortic calcification is associated with physical frailty in community-dwelling adults: the UK Biobank Imaging Study.
Authors: Gebre AK; Nutrition & Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Perth, WA, Australia., Mundt M; Nutrition & Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Perth, WA, Australia. m.mundt@ecu.edu.au.; School of Human Sciences, The University of Western Australia, Perth, WA, Australia. m.mundt@ecu.edu.au., Dent E; Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia., Webster J; Applied Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK., Saleem A; Nutrition & Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Perth, WA, Australia.; Centre for Artificial Intelligence & Machine Learning, School of Science, Edith Cowan University, Perth, WA, Australia., Gilani SZ; Nutrition & Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Perth, WA, Australia.; Centre for Artificial Intelligence & Machine Learning, School of Science, Edith Cowan University, Perth, WA, Australia.; Department of Computer Science and Software Engineering, The University of Western Australia, Perth, WA, Australia., Zhang Y; Mater Research Institute, The University of Queensland, Translational Research Institute, Woolloongabba, QLD, Australia., Smith C; Nutrition & Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Perth, WA, Australia.; Medical School, The University of Western Australia, Perth, WA, Australia., Raina P; McMaster Institute for Research On Aging, McMaster University, Hamilton, ON, Canada.; Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.; Labarge Centre for Mobility in Aging, McMaster University, Hamilton, ON, Canada., Kemp JP; Mater Research Institute, The University of Queensland, Translational Research Institute, Woolloongabba, QLD, Australia., Leslie WD; Department of Internal Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada., Schousboe JT; Park Nicollet Clinic and HealthPartners Institute, HealthPartners, Minneapolis, USA.; Division of Health Policy and Management, University of Minnesota, Minneapolis, USA., Harvey NC; MRC Life Course Epidemiology Centre, University of Southampton, Southampton, UK.; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK., Lewis JR; Nutrition & Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Perth, WA, Australia.; Medical School, The University of Western Australia, Perth, WA, Australia., Sim M; Nutrition & Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Perth, WA, Australia.; Medical School, The University of Western Australia, Perth, WA, Australia.
Source: GeroScience [Geroscience] 2026 Jun 23. Date of Electronic Publication: 2026 Jun 23.
Publication Type: Journal Article
Journal Info: Publisher: Springer International Publishing Country of Publication: Switzerland NLM ID: 101686284 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2509-2723 (Electronic) Linking ISSN: 25092723 NLM ISO Abbreviation: Geroscience Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2509-2723
DOI:10.1007/s11357-026-02375-9