BU CS Professor Margrit Betke Uses Machine Learning to Help Predict a Stroke Survivor’s Ability to Regain Language Skills
Despite centuries of study, the human brain remains one of science’s greatest mysteries. Most research focuses on how the brain responds to change, but researchers are beginning to shift from studying the effect of the brain injury to recovery and healing. Neuroscientists and computer scientists at Boston University (BU) teamed up to create a method for predicting how patients regain their ability to speak after experiencing a stroke.
The research was spearheaded by an interdisciplinary team including Swathi Kiran, the James and Cecilia Tse Ying Professor in Neurorehabilitation at Sargent College, Anne Billot, a PhD student in Behavioral Neuroscience, Margrit Betke, a Professor in the Department of Computer Science, Prakash Ishwar, a Professor in the Department of Electrical and Computer Engineering, and Sha (Stan) Lai, a PhD student in Computer Science. The findings were published recently in Stroke. Supported by a Hariri Institute Digital Health Initiative Award, this is the first study that uses machine learning to understand how patients recover after rehabilitation rather than how they’re affected by a stroke.
Read more in the original article posted by the Hariri Institute.