Data-driven risk algorithms from primary care for early dementia detection and prevention trial enrichment

Communications Medicine 2026 Open access

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Authors: Thomas Nédelec, Karim Zaidi, Charlotte Montaud, Octave Guinebretiere, Pyry N. Sipilä, Wei Dang, Fen Yang, Yulin Hswen, Fang Fang, Mika Kivimäki, Manon Ansart, Stanley Durrleman
DOI: 10.1038/s43856-026-01850-w
Cited by: 0

Abstract

Background: Early identification of individuals at risk of dementia is essential for effective prevention and timely intervention. Existing risk scores rely heavily on age, which limits their discriminative power at clinically relevant thresholds such as 65 years, when preventive strategies are most impactful.

Fields of Study & Subjects

Dementia and Cognitive Impairment Research Machine Learning in Healthcare

Publication details

Journal / source
Communications Medicine
Publisher
Springer Science and Business Media LLC
Publication date
24 August 2026
Language
EN