Machine learning to improve prediction of post-COVID-19 cognitive decline and Alzheimer’s disease

Led by Dr. Tracy Vannorsdall at Johns Hopkins University School of Medicine, this study investigates how COVID-19 may accelerate cognitive decline and increase the risk of Alzheimer’s disease (AD) in older adults. The project leverages the Defense Automated Neurobehavioral Assessment (DANA), an FDA-cleared mobile app that detects subtle cognitive changes. By applying machine learning to longitudinal DANA data collected after COVID-19 illness, the team aims to develop models that more accurately predict cognitive decline and AD risk. This collaboration with AnthroTronix aligns with the Johns Hopkins AITC’s goals to improve accessibility and reduce health disparities, offering an in-home, low-burden assessment method adaptable for diverse populations.