Peer-Reviewed Publication
JMIR Aging2025;8e74307.December 1, 2025Journal Article

End User and Primary Care Physicians' Perspectives on Digital Innovations in Dementia Risk Detection: Focus on a Digital Sleep Biomarker.

Ríona Mc Ardle1,2, Marie Poole3, Sophie Horrocks4,5, Josh King-Robson6, Jonathan M Schott6,7, David Sharp4,8, Matthew Harrison4,5, Louise Robinson3
1Translational and Clinical Research Institute, Newcastle University, Newcastle Upon Tyne, United Kingdom.
2NIHR Newcastle Biomedical Research Centre, Newcastle Upon Tyne, United Kingdom.
3Population Health Sciences Institute, Newcastle University, Newcastle Upon Tyne, United Kingdom.
4Care Research and Technology Centre, UK Dementia Research Institute, London, United Kingdom.
5Institute of Global Health Innovation, Helix Centre, Imperial College London, London, United Kingdom.
6Queen Square Institute of Neurology, Dementia Research Centre, University College London, London, United Kingdom.
7University College London, UK Dementia Research Institute, London, England, United Kingdom.
8Department of Brain Sciences, Faculty of Medicine, Imperial College London, London, United Kingdom.

Abstract

BACKGROUND: Dementia is a global health priority. Early identification in asymptomatic or mildly symptomatic individuals (ie, dementia risk detection) is proposed as a clinical solution for early intervention and could support researchers to identify novel neuropathological targets and recruit to clinical trials. Digital biomarkers of behavioral or physiological markers, including sleep, are cited…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.