Researchers Win $900k NSF Grant to Predict Heart Disease, Diabetes Using Machine Learning
By Maureen Stanton, CISE Researchers from the College of Engineering and Boston Medical Center (BMC) will use a three-year, $900,000 grant from the National Science Foundation to develop and pilot a health informatics system to predict patients at risk of heart disease or diabetes, and enable early intervention and personalized treatment. “Our research vision is […]
Cassandras, Paschalidis Lend Smart Cities Knowledge to Special Issue of Proceedings of the IEEE
Professor Christos Cassandras (ECE, SE) was invited to be one of three guest editors on the April 2018 issue of the Proceedings of the IEEE on smart cities; he also co-authored one of the papers along with Professor Ioannis Paschalidis (ECE, BME, SE), who co-authored two.
Paschalidis Hosts Symposium on Control and Network Systems
The 2nd Symposium on the COntrol of NEtwork Systems (SCONES) will be held on Monday, October 16 and Tuesday, October 17, 2017, at the Boston University Photonics Center.
How Machine Learning Is Helping Us Predict Heart Disease and Diabetes
Professor Yannis Paschalidis (ECE, BME, SE) is featured in Harvard Business Review, where he discusses how machine-learning algorithms can potentially improve patient outcomes in chronic illnesses such as heart disease and diabetes.