Presented at the 27th International Symposium on Amyotrophic Lateral Sclerosis and Motor Neurone Disease, Dublin Ireland, December 2016.

Objectives:  We hypothesized that computer models incorporating predictions for both survival and disease progression as measured by the ALSFRS-R score could serve as tools to stratify patients into slowly, average and rapidly progressing patients.

Conclusions: We conclude that ALS patients can be successfully stratified using a combination of algorithms that predict survival and ALSFRS-R progression.  We also conclude that the ability to accurately predict disease progression for ALS patients has broad implications for clinical trial design.

Authors: Albert A. Taylor, Samad Jahandideh, Danielle Beaulieu, Mike Keymer, David L. Ennist

 

FINAL-D-P202-In-silico-Stratification

 

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