Researchers, including those affiliated with IMES, have made strides toward machine-learning models that can help doctors more efficiently find information in a patient’s health record. Physicians often query a patient’s electronic health record for information that helps them make treatment decisions, but the cumbersome nature of these records hampers the…

Stultz will leverage his research into machine learning and computer science, as well as his role as a practicing cardiologist Collin M. Stultz, MD, PhD, the Nina T. and Robert H. Rubin Professor in Medical Engineering and Science, has been named co-director of the Harvard-MIT Program in Health Sciences and…

A new methodology simulates counterfactual, time-varying, and dynamic treatment strategies, allowing doctors to choose the best course of action. When it comes to treatment strategies for critically ill patients, clinicians want to be able to consider all their options and timing of administration, and make the optimal decision for their…

A computational study by MIT researchers, including an HST student, shows that dozens of mutations help the virus’ spike protein evade antibodies that target SARS-CoV-2. A new study from MIT suggests that the dozens of mutations in the spike protein of the Omicron variant help it to evade all four…