While treating the patient is the utmost priority, we need to understand that Alzheimer’s impacts every part of a person’s life and to address all of those parts, both effectively and compassionately.
The ability to simulate dozens of clinical characteristics simultaneously is a powerful tool to model disease progression. Such models have useful applications for clinical trials, from analyzing cont
Generating Digital Twins with Multiple Sclerosis Using Probabilistic Neural Networks
February 5, 2020
Using a dataset of subjects enrolled in the placebo arms of MS clinical trials, we trained a Conditional Restricted Boltzmann Machine to generate digital subjects.
