Assistant Investigator, Senior Biomedical Engineer
Michael Scheid is a Senior Biomedical Engineer and lead author at the Feinstein Institutes for Medical Research who developed an artificial intelligence model for predicting in-hospital patient deterioration using continuous wearable biosensor data. His research published in Nature Communications (2025) demonstrates a deep learning approach that predicts clinical deterioration up to 17 hours in advance, achieving over 83% accuracy in identifying unplanned ICU transfers and critical outcomes. Additional work includes development of clinical alert systems for early detection of clinical decline and analysis of ICD remote transmissions for atrial fibrillation prediction.