Crowdsourcing to better forecast drug approvals
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.
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.
By
Integrating robots into a manufacturing system is often prohibitively expensive. A new approach could change that.
By
Companies make common data science mistakes. Here’s an expert’s guide to what they are and how to avoid them.
By
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
By
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.
We are a small but mighty team dedicated to helping MIT students develop as dynamic leaders equipped to collaborate with others to solve the world’s most pressing problems.
Here, leadership is not a title or a person. It’s a process. We begin with self-awareness, then combine science-based frameworks, personalized coaching, and practical applications to develop leaders.
Consumer Finance Initiative | Our Data and Research Partners