Validation of a Jacobian AI-based method to measure cerebellar volume changes in multiple system atrophy
The accurate, consistent, and scalable estimation of cerebellar atrophy would be highly beneficial for clinical trials in multiple system atrophy (MSA)1-3.
Deep-learning methods for enrichment of Alzheimer’s Disease clinical trials using MRI and PET
Drug development trials aimed to halt Alzheimer’s disease (AD) progression favour recruitment of participants at early stages, preferably before symptomatic onset. In this investigation, we developed a deep-learning framework to differentiate participants with accelerated cognitive decline from those that remain cognitively stable within 24 months.