10 citations · 18 across the 4 of their papers we have counts for
4 papers
Digital Twin Generators for Disease Modeling
Nameyeh Alam, Jake Basilico, Daniele Bertolini +21
A patient's digital twin is a computational model that describes the evolution of their health over time. Digital twins have the potential to revolutionize medicine by enabling ind…
Neural Boltzmann Machines
Alex H. Lang, Anton D. Loukianov, Charles K. Fisher
Conditional generative models are capable of using contextual information as input to create new imaginative outputs. Conditional Restricted Boltzmann Machines (CRBMs) are one clas…
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…