Healthcare Lab Students Recommend Actions for Real World Challenges
Some of the best experiences students have at Sloan are those that give them a chance to apply the skills learned in the classroom.
Some of the best experiences students have at Sloan are those that give them a chance to apply the skills learned in the classroom.
HSI's leadership team includes faculty, staff, and our Advisory Board.
In a new book, MIT roboticist Daniela Rus looks at the powers and limitations of robots and how humans can work with them to unlock new capabilities.
AI is a tool to get things done. To use it properly and generate value, organizations need the right capabilities — including a good understanding of data.
Researchers launched an in-house Data Science and Artificial Intelligence (DSAI) challenge to beat MIT’s machine-learning models for predicting clinical trial outcomes. The results are now available.
Integrating robots into a manufacturing system is often prohibitively expensive. A new approach could change that.
Companies make common data science mistakes. Here’s an expert’s guide to what they are and how to avoid them.
MIT Sloan and CSAIL researchers apply artificial intelligence techniques to one of the largest datasets of clinical trial outcomes to handicap the drug and device approval process
MIT Sloan School of Management’s Initiative for Health Systems Innovation (HSI) recently announced a formal collaboration with the Staten Island Performing Provider System (SI PPS).
Machine learning is a powerful form of artificial intelligence that is affecting every industry. Here’s what you need to know about its potential and limitations and how it’s being used.