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Researchers develop new model to predict progression to Alzheimer’s in patients with mild cognitive impairment

Monday, January 8, 2018

The progression from mild cognitive impairment to Alzheimer’s disease (AD) can be more accurately predicted in patients by incorporating longitudinal profiles of multiple clinical and neuroimaging markers in addition to the baseline information, according to new research by Sheng Luo, PhD (Biostatistics and Bioinformatics), as well as Neurology's Richard O'Brien, MD, PhD, and Michael Lutz, PhD.

In a recent study published in Alzheimer’s & Dementia, the official journal of the Alzheimer’s Association, researchers describe how novel statistical models could improve the prediction of progression-free survival in mild cognitive impairment (MCI) patients using multiple markers, all of which can be easily collected in a clinical setting.

Read the full article at the Duke Clinical Research Institute's website.