Artificial intelligence yields new antibiotic
Using a deep-learning model, MIT researchers, including faculty members at IMES, have identified a powerful new drug that can kill many species of antibiotic-resistant bacteria. Using a machine-learning algorithm, MIT researchers have identified a powerful new antibiotic compound. In laboratory tests, the drug killed many of the world’s most problematic…
Read MoreAccelerating the pace of engineering
The 2019-20 School of Engineering MathWorks Fellows, including an HST MEMP graduate student, are using MATLAB and Simulink to advance discovery and innovation across disciplines. Nicolas Meirhaeghe, a student in the Harvard-MIT Health Sciences and Technology (HST) Medical Engineering and Medical Physics (MEMP) PhD program, specializing in Bioastronautics, was recently…
Read MoreRalph and Claire Brindis: A partnership of interests and opportunity
An MIT graduate and his wife, who have devoted their lives to improving human health through research, have established a fund that supports the IMES mission. Claire and Ralph ’70 Brindis have devoted their lives to improving human health through evidence-based medicine and public policy. Their recent gift to establish…
Read MoreEngineers design bionic “heart” for testing prosthetic valves, other cardiac devices
Engineers, including an IMES faculty member and a student in the GEMS program at IMES, design a device made of heart tissue and a robotic pumping system that beats like the real thing. As the geriatric population is expected to balloon in the coming decade, so too will rates of…
Read MoreTechnique reveals whether models of patient risk are accurate
A new method by computer scientists, including an IMES faculty member, could help doctors avoid ineffective or unnecessarily risky treatments. After a patient has a heart attack or stroke, doctors often use risk models to help guide their treatment. These models can calculate a patient’s risk of dying based on…
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