Deep Learning-based Integration of Neuroimaging and Genetic Data for Classification of Alzheimer's Disease

Taeho Jo, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, AAIC (2023) This study introduces a new deep learning method using CNNs to analyze tau PET images and identify Alzheimer's Disease (AD) related patterns. The method achieved a 90.8% accuracy in classifying AD and highlighted significant tau deposition regions associated with AD. Additionally, we used the SWAT method to find AD-related SNPs, uncovering key genetic loci, including the known APOE regions, and achieved an AUC of 0.82.

Precision Medicine