Combining machine learning with knowledge-based modeling for scalable forecasting and subgrid-scale closure of large, complex, spatiotemporal systems.

We consider the commonly encountered situation (e.g., in weather forecast) where the goal is to predict the time evolution of a large, spatiotemporally chaotic dynamical system when we have access to both time series data of previous system states and an imperfect model of the full system dynamics.

Post-operative delirium is associated with increased 5-year mortality.

Background: Post-operative delirium is associated with increased short term morbidity and mortality. Limited data exists on long term outcomes for older adults with postoperative delirium. We hypothesize that postoperative delirium is associated with increased 5-year mortality.

Stray energy transfer during endoscopy.

Introduction: Endoscopy is the standard tool for the evaluation and treatment of gastrointestinal disorders. While the risk of complication is low, the use of energy devices can increase complications by 100-fold. The mechanism of increased injury and presence of stray energy is unknown.