Detectable Effect Cluster Analysis: A Novel Machine-Learning Subgroup Analysis Method for Drug Rescue
Danielle Beaulieu, Jonavelle Cuerdo, Mark Schactman, David L. Ennist, Albert Taylor The poster was presented at the MDA Clinical & Scientific Conference on March 13-16 2022. Background:ALS drug development has been plagued by high clinical trial failure rates....Use of Machine Learning Predictions as Covariates to Optimize Clinical Trials of Neurologic Diseases
Danielle Beaulieu, Jonavelle Cuerdo, Mark Schactman, David L. Ennist, Albert Taylor The poster was presented at the MDA Clinical & Scientific Conference on March 13-16 2022. Background: Adding covariates to linear regression models is a well-known method for...
Development and Validation of a Machine-Learning ALS Survival Model Lacking Vital Capacity (VC-Free) for use in Clinical Trials during the COVID-19 Pandemic
Danielle Beaulieu, James D. Berry, Sabrina Paganoni, Jonathan D. Glass, Christina Fournier, Jonavelle Cuerdo, Mark Schactman, David L. Ennist. DOI: 10.1080/21678421.2021.1924207 Published in Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration, on August 4,...
Evidence for Generalizability of Edaravone Efficacy using a Novel Machine Learning Risk-based Subgroup Analysis Tool
Benjamin Rix Brooks, Erik P. Pioro, Danielle Beaulieu, Albert A. Taylor, Mark Schactman, Mike Keymer, Wendy Agnese, Johnna Perdrizet, Stephen Apple & David L. Ennist DOI: 10.1080/21678421.2021.1927102 Published in Amyotrophic Lateral Sclerosis and Frontotemporal...