10 big data blunders to avoid
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Companies make common data science mistakes. Here’s an expert’s guide to what they are and how to avoid them.
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Companies make common data science mistakes. Here’s an expert’s guide to what they are and how to avoid them.
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MIT study explores the key factors behind patient outcomes in clinical trials evaluating new treatments for non-small-cell lung cancer.
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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
We push the boundaries of finance to solve complex problems and fuel progress in the world through the MIT finance ecosystem – a unique global network of people, programs, research, and partnerships.
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The MIT Laboratory for Financial Engineering (LFE) and Informa Pharma Intelligence announced a new initiative, Project ALPHA (Analytics for Life-sciences Professionals and Healthcare Advocates).
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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.
Leadership at MIT is not a title or a person. It’s a process. We begin with self-awareness and combine science-based frameworks, personalized coaching, and practical applications to develop leaders.
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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.