Estimating individual treatment effect on disability progression in multiple sclerosis using deep learning

Abstract

There are limited predictive biomarkers for drug treatment responses in individuals with multiple sclerosis. Here using existing clinical trials data, the authors propose a deep-learning predictive enrichment strategy to identify which participants are most likely to respond to a treatment.