Personalized Model Unveils Hidden Patterns in Alzheimer's Progression | Duke University School of Medicine

A new mathematical model offers hope for better prediction and treatment of Alzheimer’s disease.  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.  

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Kashyap Sreeram ,Jeffreyr Petrella ,Sophia Dalziel ,Wenrui Hao ,Juliet Jiang ,Alzheimer Imaging Research Laboratory ,Duke University School Of Medicine ,Department Of Defense ,National Institutes Of Health ,National Science Foundation ,Pennsylvania State University ,Alzheimer Disease Neuroimaging Initiative ,Duke University School ,Disease Biomarker Cascade ,Imaging Research Laboratory ,Murali Doraiswamy ,Penn State ,National Institutes ,Disease Neuroimaging Initiative ,