10 citations · 10 across the 1 of their papers we have counts for
4 papers
Modeling Disease Progression in Mild Cognitive Impairment and Alzheimer's Disease with Digital Twins
Daniele Bertolini, Anton D. Loukianov, Aaron M. Smith +4
Alzheimer's Disease (AD) is a neurodegenerative disease that affects subjects in a broad range of severity and is assessed in clinical trials with multiple cognitive and functional…
Generating Digital Twins with Multiple Sclerosis Using Probabilistic Neural Networks
Jonathan R. Walsh, Aaron M. Smith, Yannick Pouliot +3
Multiple Sclerosis (MS) is a neurodegenerative disorder characterized by a complex set of clinical assessments. We use an unsupervised machine learning model called a Conditional R…
Deep learning for comprehensive forecasting of Alzheimer's Disease progression
Charles K. Fisher, Aaron M. Smith, Jonathan R. Walsh +1
Most approaches to machine learning from electronic health data can only predict a single endpoint. Here, we present an alternative that uses unsupervised deep learning to simulate…
Boltzmann Encoded Adversarial Machines
Charles K. Fisher, Aaron M. Smith, Jonathan R. Walsh
Restricted Boltzmann Machines (RBMs) are a class of generative neural network that are typically trained to maximize a log-likelihood objective function. We argue that likelihood-b…