New Method on Alzheimer's Disease Diagnosis Accepted to Pacific Symposium on Biocomputing (PSB) 2020

Tue Sep 17, 2019

Lodewijk Brand and undergraduate research student Kai Nichols recently had their paper, “Predicting Longitudinal Outcomes of Alzheimer’s Disease via a Tensor-based Joint Classification and Regression Model,” accepted into the Pacific Symposium on Biocomputing.

This research aims to solve the proposed Joint Multi Modal Longitudinal Regression and Classification objective introduced in the paper. This work proposes a novel multi-block alternating direction method of multipliers method to optimize the aforementioned objective. In our work we identify brain and genetic biomarkers that have been shown to be predictive of an Alzheimer’s Disease diagnosis.

This work will be presented in January 3-7, 2020 on The Big Island of Hawaii.