Clinicians don’t have a universal method to predict coma recovery, leading to subjective predictions. Our team is developing machine learning models that objectify clinician decision-making and produce a prediction of a patient’s mortality, saving lives and resources. We are leveraging an EEG (brain signal) dataset of 1,000+ patients across multiple countries, combining models trained at scale on high performance computing clusters.