Predicting change in the Alzheimer’s brain

MIT researchers are developing a computer system that uses genetic, demographic, and clinical data to help predict the effects of disease on brain anatomy. In experiments, they trained a machine-learning system on MRI data from patients with neurodegenerative diseases and found that supplementing that training with other patient information improved…

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Faculty Profile: Collin Stultz

Dynamic Duality A core faculty of the Institute for Medical Engineering & Science (IMES), Collin Stultz works double-duty. Earning his MD from Harvard Medical School and PhD in biophysics from Harvard University, he is both (1) a practicing cardiologist and (2) an MIT faculty research scientist in the Electrical Engineering…

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Finding a Noninvasive Way to Measure Pressure in the Brain

Current methods to check for increased pressure in a patient’s brain are invasive. One widely used technique is to drill a hole in the skull to insert a catheter or sensor into the brain tissue. Because of the risk of brain injury and infection, doctors typically only measure intracranial pressure…

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