Futurity April 17, 2024
A new mathematical model offers hope for better prediction and treatment of Alzheimer’s disease, researchers report.
Most mathematical models of Alzheimer’s are theoretical, focusing on short term molecular and cellular-level changes that cannot be measured in patients.
However, researchers at Duke University School of Medicine and Pennsylvania State University have used real-world data from over 800 people with varying cognitive abilities, to develop the Alzheimer’s Disease Biomarker Cascade (ADBC) model.
This personalized approach goes beyond traditional diagnostic methods by incorporating an individual’s own biological markers to predict their disease progression.
The research appears in the Journal of the Prevention of Alzheimer’s Disease.
Subjects were enrolled in the Alzheimer Disease Neuroimaging Initiative (ADNI), a multinational longitudinal study following subjects from normal...
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