Machine learning‐enabled epileptiform spike detection stratifies patient subpopulations with Alzheimer’s disease
Machine learning‐enabled epileptiform spike detection stratifies patient subpopulations with Alzheimer’s disease
J. Pathmanathan,Kim Laberinto,2 Authors,Jacob Donoghue
TLDR
A subpopulation of patients with Alzheimer’s disease exhibit epileptiform activity and have more rapidly progressing disease, and machine learning tools may establish seizures as an actionable biomarker for stratification and endpoints within clinical trials.
Abstract
A subpopulation of patients with Alzheimer’s disease exhibit epileptiform activity and have more rapidly progressing disease. Manual identification of these pathological events is infeasible at scale and machine learning tools may establish epileptiform activity as an actionable biomarker for stratification and endpoints within clinical trials.