Estimating individual treatment effect on disability progression in multiple sclerosis using deep learning
oleh: Jean-Pierre R. Falet, Joshua Durso-Finley, Brennan Nichyporuk, Julien Schroeter, Francesca Bovis, Maria-Pia Sormani, Doina Precup, Tal Arbel, Douglas Lorne Arnold
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2022-09-01 |
Deskripsi
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.