Yulin Hswen

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

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...