New tool helps predict progression of Alzheimer’s

A novel learning-based framework has been created by researchers at The University of Texas at Arlington to help Alzheimer’s patients accurately pinpoint where they are within the disease-development spectrum. This new DETree framework, developed by researchers Zhu and Wang, was tested using data from 266 individuals with Alzheimer’s and proved to be more accurate than other prediction models. This will allow for more accurate predictions of the later stages of Alzheimer’s, making it easier for patients and their families to plan for the uncertainties of the disease. The new framework also has the potential to help predict the progression of other diseases with multiple clinical stages.

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