Dr. Westover will discuss progress in using machine learning to advance healthcare for patients with neurological problems. He will describe the development and use of the world’s largest sets of labeled electroencephalography (EEG) data for the following clinically-relevant outcomes: detecting epileptic spikes to enable automated diagnosis of epilepsy; detecting seizures to enable continuous automated brain monitoring for harmful events in ICU patients; recognizing pathological patterns in sleep EEG and breathing data, to automate the evaluation of sleep disorders, and to measure a patient’s “brain age.”